Artificial intelligence (AI) Books

Book SynopsisComputational Creativity, Concept Invention, and General Intelligence in their own right all are flourishing research disciplines producing surprising and captivating results that continuously influence and change our view on where the limits of intelligent machines lie, each day pushing the boundaries a bit further. By 2014, all three fields also have left their marks on everyday life – machine-composed music has been performed in concert halls, automated theorem provers are accepted tools in enterprises’ R&D departments, and cognitive architectures are being integrated in pilot assistance systems for next generation airplanes. Still, although the corresponding aims and goals are clearly similar (as are the common methods and approaches), the developments in each of these areas have happened mostly individually within the respective community and without closer relationships to the goings-on in the other two disciplines. In order to overcome this gap and to provide a common platform for interaction and exchange between the different directions, the International Workshops on “Computational Creativity, Concept Invention, and General Intelligence” (C3GI) have been started. At ECAI-2012 and IJCAI-2013, the first and second edition of C3GI each gathered researchers from all three fields, presenting recent developments and results from their research and in dialogue and joint debates bridging the disciplinary boundaries. The chapters contained in this book are based on expanded versions of accepted contributions to the workshops and additional selected contributions by renowned researchers in the relevant fields. Individually, they give an account of the state-of-the-art in their respective area, discussing both, theoretical approaches as well as implemented systems. When taken together and looked at from an integrative perspective, the book in its totality offers a starting point for a (re)integration of Computational Creativity, Concept Invention, and General Intelligence, making visible common lines of work and theoretical underpinnings, and pointing at chances and opportunities arising from the interplay of the three fields.Table of ContentsStakeholder Groups in Computational Creativity Research and Practice.- Weak and Strong Computational Creativity.- Theorem: General intelligence entails creativity, assuming.- The Computational Creativity Complex.- How Models of Creativity and Analogy Need to Answer the Tailorability Concern.- On the role of computers in creativity-support systems.- A computational theory of creativity as everyday reasoning from learned information.- Accounting for creativity within a psychologically realistic cognitive architecture.- E pluribus unum - Formalisation, Use-Cases, and Computational Support for Conceptual Blending.- Creating Meaningful and Poetic Instances of Rhetorical Forms.- Open-Ended Elaborations in Creative Metaphor.- Poetry generation with PoeTryMe.- From MEXICA to MEXICA-impro: the Evolution of a Computer Model for Plot Generation.- Handle: Engineering Artificial Musical Creativity at the "Trickery" Level.- A Culinary Computational Creativity System.- Interactive Meta-Reasoning: Toward a CAD-like environment for designing game-playing agents.- Collective Discovery Events: Web-based Mathematical Problem-solving with Codelets.- A Personal Perspective Into the Future for Computational Creativity.

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Book SynopsisThis book provides an in-depth overview of what is currently happening in the field of Law and Artificial Intelligence (AI). From deep fakes and disinformation to killer robots, surgical robots, and AI lawmaking, the many and varied contributors to this volume discuss how AI could and should be regulated in the areas of public law, including constitutional law, human rights law, criminal law, and tax law, as well as areas of private law, including liability law, competition law, and consumer law. Aimed at an audience without a background in technology, this book covers how AI changes these areas of law as well as legal practice itself. This scholarship should prove of value to academics in several disciplines (e.g., law, ethics, sociology, politics, and public administration) and those who may find themselves confronted with AI in the course of their work, particularly people working within the legal domain (e.g., lawyers, judges, law enforcement officers, public prosecutors, lawmakers, and policy advisors).Bart Custers is Professor of Law and Data Science at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands.Eduard Fosch-Villaronga is Assistant Professor at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands.Table of ContentsPart I. Introduction.- Chapter 1. Humanizing Machines: Introduction and Overview.- Chapter 2. Artificial Intelligence versus Biological Intelligence: A Historical Overview.- Chapter 3. Disciplines of AI: An Overview of Approaches and Techniques.- Part II. Public Law.- Chapter 4. Discrimination by Machine-based Decisions: Inputs and Limits of Anti-discrimination Law.- Chapter 5. Women's Rights under AI Regulation - Fighting AI Gender Bias through a Feminist and Intersectional Approach.- Chapter 6. Diversity and Inclusion in Artificial Intelligence.- Chapter 7. Artificial Intelligence in Disability Employment: Incorporating a Human Rights Approach.- Chapter 8. Prosecuting Killer Robots: Allocating Criminal Responsibilities for Grave Breaches of International Humanitarian Law Committed by Lethal Autonomous Weapon Systems.- Chapter 9. The Risks of Social Media Platforms for Democracy: A Call for a New Regulation.- Chapter 10. Biased Algorithms and the Discrimination upon Immigration Policy.- Chapter 11. AI in Criminal Law: An Overview of AI Applications in Substantive and Procedural Criminal Law.- Chapter 12. Black-box Models as a Tool to Fight VAT Fraud.- Part III. Private Law.- Chapter 13. Bridging the Liability Gaps: Why AI Challenges the Existing Rules on Liability and How to Design Human-empowering Solutions.- Chapter 14. Contractual Liability for the Use of AI under Dutch Law and EU Legislative Proposals.- Chapter 15. Digging into the Accountability Gap: Operator’s Civil Liability in Healthcare AI-systems.- Chapter 16. Automated Care-taking and the Constitutional Rights of the Patient in an Aging Population.- Chapter 17. Generative AI and Intellectual Property Rights.- Chapter 18. The Role and Legal Implications of Autonomy in AI-driven Boardrooms.- Chapter 19. Artificial Intelligence and European Competition Law: Identifying Principles for a Fair Market.- Chapter 20. Personalised Shopping and Algorithmic Pricing: How EU Competition Law Can Protect Consumers in the Digital World.- Part IV. Legal Practice.- Chapter 21. Lawyers’ Perceptions on the Use of AI.- Chapter 22. AI and Lawmaking: An Overview.- Chapter 23. Ask the Data - A Machine Learning Analysis of the Legal Scholarship on Artificial Intelligence.- Chapter 24. The Study of Artificial Intelligence as Law.- Chapter 25. The Right to Mental Integrity in the Age of Artificial Intelligence Cognitive Human Enhancement Technologies.- Chapter 26. Regulating Artificial General Intelligence (AGI).- Chapter 27. Influence, Immersion, Intensity, Integration, Interaction: Five Frames for the Future of AI Law and Policy.- Index.

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Book SynopsisThis book provides an in-depth overview of what is currently happening in the field of Law and Artificial Intelligence (AI). From deep fakes and disinformation to killer robots, surgical robots, and AI lawmaking, the many and varied contributors to this volume discuss how AI could and should be regulated in the areas of public law, including constitutional law, human rights law, criminal law, and tax law, as well as areas of private law, including liability law, competition law, and consumer law. Aimed at an audience without a background in technology, this book covers how AI changes these areas of law as well as legal practice itself. This scholarship should prove of value to academics in several disciplines (e.g., law, ethics, sociology, politics, and public administration) and those who may find themselves confronted with AI in the course of their work, particularly people working within the legal domain (e.g., lawyers, judges, law enforcement officers, public prosecutors, lawmakers, and policy advisors).Bart Custers is Professor of Law and Data Science at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands.Eduard Fosch-Villaronga is Assistant Professor at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands.Table of ContentsPart I. Introduction.- Chapter 1. Humanizing Machines: Introduction and Overview.- Chapter 2. Artificial Intelligence versus Biological Intelligence: A Historical Overview.- Chapter 3. Disciplines of AI: An Overview of Approaches and Techniques.- Part II. Public Law.- Chapter 4. Discrimination by Machine-based Decisions: Inputs and Limits of Anti-discrimination Law.- Chapter 5. Women's Rights under AI Regulation - Fighting AI Gender Bias through a Feminist and Intersectional Approach.- Chapter 6. Diversity and Inclusion in Artificial Intelligence.- Chapter 7. Artificial Intelligence in Disability Employment: Incorporating a Human Rights Approach.- Chapter 8. Prosecuting Killer Robots: Allocating Criminal Responsibilities for Grave Breaches of International Humanitarian Law Committed by Lethal Autonomous Weapon Systems.- Chapter 9. The Risks of Social Media Platforms for Democracy: A Call for a New Regulation.- Chapter 10. Biased Algorithms and the Discrimination upon Immigration Policy.- Chapter 11. AI in Criminal Law: An Overview of AI Applications in Substantive and Procedural Criminal Law.- Chapter 12. Black-box Models as a Tool to Fight VAT Fraud.- Part III. Private Law.- Chapter 13. Bridging the Liability Gaps: Why AI Challenges the Existing Rules on Liability and How to Design Human-empowering Solutions.- Chapter 14. Contractual Liability for the Use of AI under Dutch Law and EU Legislative Proposals.- Chapter 15. Digging into the Accountability Gap: Operator’s Civil Liability in Healthcare AI-systems.- Chapter 16. Automated Care-taking and the Constitutional Rights of the Patient in an Aging Population.- Chapter 17. Generative AI and Intellectual Property Rights.- Chapter 18. The Role and Legal Implications of Autonomy in AI-driven Boardrooms.- Chapter 19. Artificial Intelligence and European Competition Law: Identifying Principles for a Fair Market.- Chapter 20. Personalised Shopping and Algorithmic Pricing: How EU Competition Law Can Protect Consumers in the Digital World.- Part IV. Legal Practice.- Chapter 21. Lawyers’ Perceptions on the Use of AI.- Chapter 22. AI and Lawmaking: An Overview.- Chapter 23. Ask the Data - A Machine Learning Analysis of the Legal Scholarship on Artificial Intelligence.- Chapter 24. The Study of Artificial Intelligence as Law.- Chapter 25. The Right to Mental Integrity in the Age of Artificial Intelligence Cognitive Human Enhancement Technologies.- Chapter 26. Regulating Artificial General Intelligence (AGI).- Chapter 27. Influence, Immersion, Intensity, Integration, Interaction: Five Frames for the Future of AI Law and Policy.- Index.

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Book SynopsisIntroduction.- Background.- Conventional Statistical Learning Theory.- Difficulty of Conventional Statistical Learning Theory.- Developing Deep Learning Theory.- Generalization Bounds on Hypothesis Complexity.- Interplay of Optimization, Bayesian Inference, and Generalization.- Geometrical Properties of Loss Surface.- The Role of Over-parametrization.- Rising Concerns in Ethics and Security.- Privacy Preservation.- Fairness Protection.- Algorithmic Robustness.

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Book Synopsis._Advancements in Multimodal Intelligent Computing.._FlexTransformer: Flexibly Allocating Transformer Modules for Efficient Video Captioning.._A Novel Robotic System for Apple Automatic Harvesting and Grading.._A review of the identification methods of digital twin coal rock driven by multimodal model.._Entity Attribute Correspondence Learning for Text-based Person Search.._SAMBA-Net: Enhancing Sarcomere Organization Evaluation with AI-Powered Multi-Modal Learning.._FART-Attack: A Feature-level Active Region Targeting Framework for Transferable Black-box Adversarial Attacks on 3D Point Clouds.._NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training.._Machine Learning.._Lie Group-based Multimodal Dynamic Attention for Chest X-ray Diagnosis.._Individual Causal Effect Estimation Based On Data Balancing And Feature extraction.._AgentTester: An LLM-Based Tool for Unit Test Generation with Automatically Generated Prompts.._Block Cipher Algorithm Identification Scheme Based on Fast Fourier Transform.._ESA: Annotation-Efficient Active Learning for Semantic Segmentation.._Tea Pest and Disease Detection in Complex Backgrounds Using YOLOv11.._Intelligent Detection of Goose Egg Hatchability via Deformable Convolution and Multi-Scale Feature Fusion.._Cross-modal Entity Alignment Method Based on Contrastive Learning of Text and Images.._Long-term ozone forecasting using the Informer model with site aggregation and transfer learning.._Retrieval of Vegetation Canopy Biophysical and Biochemical Parameters Based on Multi-output Gaussian Processes.._Lightweight Federated POI Recommendation Framework Based on Hamming Clustering.._EEG Emotion Recognition Based on Multidimensional Feature Collaborative Extraction.._MBHNet:Efficient Multi-Branch Inference for Mobile Heterogeneous System.._Deep Learning Based Design and Optimization of Shell-and-Tube Heat Exchangers.._Towards Fast Event-based Recognition with Adaptive Slicing.._I2CLD: Image-to-Image-enhanced Contrastive Learning Distillation for Cross- and Intra-modal Retrieval.._A Semantic Similarity based Distribution Calibration Approach for Few-Shot Image Classification.._When the U.S. Capital Becomes Tokyo: The Boundary of Knowledge Editing.._MEL-Net: Accelerating Action Recognition with Motion-Enhanced Lightweight Network.._Adversarial Purification Using Super-Resolution and Prompt Engineering.._Hierarchical Semantic-Guided Attention with Prompt-Augmented Vision Prototypes for 3D Point Cloud few-shot learning.._FedBE: Federated Learning for Heterogeneous and Data Scarcity.._HambaGCL: Mamba-Based Multi-Hop Graph Sequencing for Contrastive Learning.._DRL-Based Asynchronous Federated Learning for Cooperative Caching in IoV.._Time-Frequency Adaptive Fusion for Sequential Recommendation.._FedGF: Layer-wise Federated Learning with Group Fairness Guarantees.._HALOES: Instruction Flow Analysis Method via Graph Bayes Learning for Accelerating Chip Test Coverage.._Weakly Supervised Video Anomaly Detection with Lightweight Knowledge Token Fusion and Memory Optimization Strategy.._A Dynamic Multi-Proxy Based Deep Metric Learning Method.._AutoReqGen: A Pipeline Approach for Automated Requirements Generation from Source Code.._Expert Knowledge-Guided Deep Reinforcement Learning for Jiu Chess: A Hybrid Intelligence Approach.._Natural Language Processing and Computational Linguistics.._Intelligent Speech Analysis and Safety Hazard Classification for Coal Mine Dispatch Telephones Based on Deep Learning.._Automatic Lesson Plan Generation based on a Large Language Model.._In-Context Learning vs Instruction Tuning: A Systematic Comparison of Few-Shot Adaptation Strategies for Large Language Models.._Two-Stage Semantic Enhancement for Open Information Extraction.._Iterative Context Prototype Learning with Graph Dependency for Few-Shot Emotion Recognition in Conversations.._Research on Normative Chalkboard Writing Question Answering Based on Large Language Models. 

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Book Synopsis.- Neural Networks..- Event Data Classification using TPE-based Deep Spiking Neural Networks..- TIINet: A Three-Stage Interactive Integration Network for RGB-D Salient  Object Detection..- Dynamic Semantic Graph Learning with Progressive Alignment for Image-Text Matching..- MGTDGraph: Multi-granularity Graph Attention Networks for Multivariate  Long-term Time Series Forecasting..- Topology-Aware Discriminative Graph Convolutional Network for  Skeleton-Based Action Recognition..- Online Delay Learning Algorithm for Feedforward Spiking Neural Networks  Based on Spike Train Kernels..- Energy-Constrained UAV Network Topology Recovery Based on Graph  Convolutional Networks..- UBDet: An Unsupervised Breast Tumor Detection Framework with  Boundary-Aware Enhancement..- Bidirectional Interactive Prompt Fusion and Noise Filtering for Multimodal  Aspect-Based Sentiment Analysis..- AMTerrain: Research on Arbitrary-Modal Terrain Segmentation Based on  Text Guidance..- Correlation Adaptive Dynamic Graph Convolutional Networks for Traffic  Flow Prediction..- EMDC-YOLO: A Residual Multi-Scale Attention and Cross-Scale Fusion based Method for Pedestrian Detection in Crowded Scenes..- A Novel Lightweight YOLO Method for Satellite Remote Sensing via  Matrix Decomposition..- TSMDM-Net: A Speech Emotion Recognition Model Based on Multi-Scale  Time Series Dynamic Modeling..- Research on Contrastive Learning-Based Knowledge Distillation for Deep  Graph Neural Networks..- Two-view Fusion Graph Neural Networks for Graph Classification..- MambaForDIF: Distance-Importance Features and Long-Range  Dependencies for Enhancing Aspect-Based Sentiment Analysis..- FedCWE: Federated Cluster-based Weight Sampling and Ensemble Learning  for Non-IID Data..- ORE: an Offline Redundancy Elimination System for GNN Acceleration..- Time Efficiency: Legendre Polynomials in Kolmogorov-Arnold Network..- SCAUnet: Symmetric Cross-Attention U-net model for Semantic  Segementation..- Self-Attention Multiscale Mixed Propagation Network Based on Contrastive  Augmentation..- Sentiment Perception from Tokens: A Multitask Learning Framework with  Entropy-Driven Fusion..- GCLCP: Graph Contrastive Learning with Convolutional Perturbation for  Recommendation..- Agro-LLaVA-Next: A Large Multimodal Model for Plant Diseases  Recognization..- LTL-GCL:A more efficient layer-to-layer graph contrastive learning method  for recommender system..- IMVGCN : Interactive Multi-view Learning Graph Convolutional Networks for Traffic Flow Forecasting..- An Inverse Cavity Scattering Inversion Method Based On Adaptive Neural Fuzzy Inference System..- Entity Backdoor Attacks Against Fine-Tuned Models..- Knowledge Graph Denoising with Dual Contrast for Recommendation..- DDformer: Deepfake Detection with Multimodal Fusion Transformer..- Improved Transfer Learning based on Increased Model Capacity and Weight Re-initialization for ResNet..- BEVboost: Research on 3D Object Detection Method for Roadside Based on  Multi-Feature Fusion..- ARG-Net:Gaze Estimation Based on Adversarial Learning and Learnable  Networks..- GNN Advanced Heuristics Algorithm for Solving Multi-Depot Vehicle  Problem..- MSDBNet: A Multi-Scale and Dual-Branch Network for Cross-Domain  Person Re-identification..- Global and Local Feature Enhancement for Short Video Fake News  Detection..- SpikingRM: Efficient Scheduling Algorithm Based on Spiking Neural  Network and Deep Reinforcement Learning..- Infrared Multi-Scale Target Detection Based on Improved YOLOv11 and Spatiotemporal Features..- Hierarchical Attention-Driven Dynamic Graph Neural Networks for  Accurate Supply Chain Demand Forecasting..- DHCBR: Evaluating the Influence of Supply Chain Complex Network  Nodes Based on ResNet..- An Efficient DNN Training Method with Progressive Pruning..- TPKD: Teacher-Pruned Knowledge Distillation for Point Cloud-Based 3D  Object Detection..- Network Protocol Security Evaluation via LLM-enhanced Fuzzing in  Extended ProFuzzBench.

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Book Synopsis.- Natural Language Processing and Computational Linguistics..- Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating  the Hallucination for Path Planning..- ModalLogicBench: Unveiling Modal Logic Reasoning Abilities of Large  Language Models..- A Source Template-based Data Augmentation Method for Low-Resource  Neural Machine Translation..- Exploring Behavior-Driven Development for Code Generation..- LLM- Based Data Synthesis and Distillation for High-Quality Text-to-SQL  Training..- External Knowledge-Enhanced Semi-supervised Multi-Label Short Text  Classification..- Bridging Knowledge Gaps: Fine-Tuned RAG Frameworks for Biomedical  Evidence-Based Question Answering..- MTAOS: Aspect-Level Opinion Summarization with Opinion Phrase  Masking..- COMLoRA: A chain-based LoRA architecture combined with MoE..- Sentence Trunk Fusion for Neural Machine Translation..- ProCFD: Towards Robust Multimodal Sentiment Analysis through Prototype  Fusion and Contrastive Feature Decomposition..- T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on  an Assistant Task for a Target Task..- ALMP: Automatic Layer-by-layer Mixed-Precision Quantization For Large  Language Models..- Can we employ LLM to meta-evaluate LLM-based evaluators? A  Preliminary Study..- EmbSpeech: A Unified Framework Towards Low-Resource Zero-Shot  Speech Synthesis..- SViQA: A Unified Speech-Vision Multimodal Model for Textless Visual  Question Answering..- Event Causality Extraction via Label-Aware Multi-Prompt Generation  Network..- Improving Low-Resource Neural Machine Translation with Dependency  Distance-based Self-Attention..- Automated Coding Utterances toward Chinese Course Core Competence  with Large Language Models..- Introspective Reward Modeling via Inverse Reinforcement Learning for  LLM Alignment..- BERTFAN: Multi-Layer Feature Fusion and Data Augmentation for  Sentiment Analysis..- Instruction Tuning with Data Augmentation for Event Argument Extraction..- EQAA-MAC: Enhancing Question Answering Accuracy via Multi-Agent  Cooperation in IT Operations..- Cross-domain Constituency Parsing with Multi-LLM Debate..- Unified Option Generation for Zero- and Few-shot Emotion and Cause  Analysis in Dialogues..- Open-World Knowledge Augmentation for Zero-Shot Information  Extraction in LLMs..- Prompting Large Models for Knowledge and Reasoning Augmentation in  KB-VQA..- IterSelectTune: An Iterative Data Selection Framework for Efficient  Instruction Tuning..- Utilize unbiased contrastive learning to enhance the key emotional features  in low-resource sentiment analysis..- Post-training Performance Boosting Method for Code Large Language  Models via Model Merging..- Automated Construction of High-quality Evaluation Datasets Based on  LLMs..- Enhancing Code Generation for Large Language Models Using Fine-Grained Distillation..- Morphological Recombination-Based Neural Machine Translation with Self Supervised Data Augmentation..- From Coarse to Fine: Chinese Spelling Correction Based on LoRA  Technology and Multi-Agent Collaboration..- Using External knowledge to Enhanced PLM for Semantic Matching..- UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation  with Large Language Model..- Towards Reliable Large Language Models: A Survey on Hallucination  Detection..- KPEE: A Two-Stage Proposal-Based Reformulation of Event Extraction..- Morphology-Driven Meta-Adapter for Low-Resource Mongolian Sentiment  Analysis..- Knowledge Graph Completion Combining Dynamic Learnability and  Contrastive Learning..- FlexKG: A Flexible Framework for Enhanced Reasoning over Knowledge  Graph with Large Language Model..- Enhancing Code Search Fine-Tuning with Momentum Contrastive Learning  and Cross-Modal Matching..- RECODE: Leveraging Reliable Self-Generated Tests and Fine-Grained  Execution Feedback to Enhance LLM-Based Code Generation..- Evidence-Augmented Generative Explanation for Health Rumor Detection.

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Book Synopsis._Image Processing.._Illumination-Guided Enhancement of Underexposed Fundus Images with Retinal Structural Modeling.._DANet: Dual-stream Adaptive Interaction and Attention Fusion Network for High-Resolution Remote Sensing Cropland Change Detection.._MLMamba: An Infrared and Visible Image Fusion Model Based on a Multi-Branch Mamba Enhanced with an Attention Mechanism.._DualAttnADCNet: Explainable Skin Lesion Classification via Dual Attention and Dense Classifier.._A New Target Detection Model in Complex Environments Based on Unmanned Aerial Vehicle Images.._A Selective Fusion UNet for Coronary Artery Segmentation.._Unpaired Artistic Portrait Drawing Generation with Asymmetric Network Di.._MEN-AD: Multimodal Zero-Shot Detection of Mucus Anomalies in Endoscopy.._Knowledge Discovery and Data Mining.._Semantic-Knowledge Infused Rule Representation Learning for Enhanced Customs Risk Rule Generation.._Deep Knowledge Tracing Model Integrating Learning Consistency and Difficulty.._TDSR: Temporal Dynamics Enhanced Semantic Recommendation viaCross-Domain Interactive Learning.._Knowledge Enhanced Global Graph Contrastive Denoising for Recommendation.._Multi-scale Fusion Recurrent Attention Framework for Time Series Forecasting.._Denoising Multimodal Recommendation with Two-Stage Multi-View Contrastive Fusion.._MFFKT: A Deep Knowledge Tracing Model by Fusing Multiple Learning Factors.._Enhancing Programming Knowledge Tracing with GPT Embedding and Temporal Convolutional Network.._VE-ResBiLSTM: A Deep Spatiotemporal Model for Field-RoadClassification with DBSCAN-Based Data Augmentation.._Real-Time In-Class Data Mining of Moodle Click Logs for Learning Pattern Classification and Outlier Detection.._TermRAG: Data Resource Summarization Via Term Retrieval Augmented Generation.._AIDataSet: Knowledge Graph Construction for AI Applications.._AFRNS: Adaptive Feature Refinement and Noise Suppression for Click-Through Rate Prediction.._DisCoref: A Coreference Resolution Approach Based on Distence Feature for Document.._MultiE: A Fusion of Dual-path Encoding and Multi-dimensional Adaptive Convolution for Knowledge Graph Embedding.._Knowledge Tracking via Latent Relationship Mining and Global-Local Information Fusion.._LE-MSF: A Chinese Medical Named Entity Recognition Method Based on Lexicon Enhancement and Multi-semantic Fusion.._An Adaptive Masked Graph Neural Network for Graph-Based Fraud Detection.._Leveraging Contrastive Learning to Bridge Semantic Gaps in Multimodal Recommendation.._BOPRO: Towards new style Bayesian Optimization with Large Language Models.._GAP: Adaptive DFS Branch-Level Parallel Subgraph Matching.._GT-DIM: Global-Temporal Dynamic Interest Modeling for Sequential Recommendation.._EMK-GC: An Efficient Graph Classification Solution.._Enhanced Temporal Knowledge Graph Forecasting with Historical and Non-Historical Contrastive Learning.._TSPN-KG: A Two-Stage Prototypical Network for Few-Shot Knowledge Graph Entity Extraction.._Technology Opportunity Discovery with Multi-Technology Convergence Based on Knowledge-Guided Graph Representation Learning.._XAI-Driven Academic Competence Assessment in Higher Education: A Machine Learning Framework with Dual-Explainer.._Analogical Reasoning Enhanced Knowledge Graph Completion.._MaTrRec: A Mamba-Transformer Framework for Robust Sequential Recommendation.._PipeUKAN: Enhanced U-KAN with Edge Attention for Sewer Pipe Defect Segmentation.._Robust Graph Neural Networks Against Edge Noise under Incomplete Structure Situation.._Mobility-aware Edge Service Scheduling with Request Heterogeneity and Server Load Balancing.._Supervised Learning.._FECG-KD: Fisher Enhanced and Clustering Guided Knowledge Distillation for Low-bit Post-training Quantization.._ILSPP: A Multi-Layer Security Level Phishing URL Detection Model.._Predicting Emotions in Conversational Speech Synthesis Using Fine-Grained Historical Context.._Code Clone-based Defect Prediction for Autonomous Driving Software.

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Book Synopsis.- Natural Language Processing and Computational Linguistics..- Mongolian Multimodal Sentiment Analysis Based on Multi-Level Attention  and Convolution-Enhanced Fusion..- Research on joint extraction of Chinese diabetes entity relations based on  hybrid attention and hierarchical network..- SSC-SQL: A Text-to-SQL Generation Framework with Multi-Process  Collaboration..- CoT Reasoning-Based Content Adaptation and Image Generation for Chinese  Poetry..- Self-Attentive CycleGAN for Damaged Khitan Script Reconstruction..- A Hierarchical Prompt-Enhanced Mix-up Model with Graph Attention  Networks for Academic Text Classification..- Dynamic Neural Transfer for Domain-Level Zero-Shot Cognitive Diagnosis..- Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights  and Limitations..- LENS-RMHR: Enhancing Telecom Fraud Detection with Large Language  Model Neuron Selection..- GeneralCI: Do LLMs Have the Generalization Ability in Conducting Causal  Inference..- Multimodal Sentiment Analysis of Mongolian Language Based on Gated  Transformer and Adaptive Hyper-modality..- Towards a Concise Benchmark for Security Risk Evaluation in Large  Language Models..- Personalized Prompt Attack Strategies Against Large Language Models..- MACCISA: A Multimodal Commonsense Knowledge Aware Model for  Counterfactual Implicit Sentiment Analysis..- Concept-Guided Persona Perception with Commonsense Reasoning for  Personalized Dialogue Generation..- Self-Distillation Model for Emotion Recognition with Cross-Modal  Interaction and Graph Neural Networks..- Talk the Talk, Debate the Bias: LLM Alignment via Role-Play Rumble..- BERT-CHAB: Hierarchical Context Fusion with Adaptive Boundary  Detection for Robust Chinese Named Entity Recognition in Noisy Social  Media..- Personalized Emotion Prediction Using Instruction-Tuned Large Language  Models..- BiCoT: Enhancing Large Language Model Reasoning Through Bidirectional  Correction of Thought..- MAF-CPR: LLM-Based Multi-Agent Framework for Complex Pull Request  Review in GitHub..- Definition Modeling for WSD and Semantic Perplexity-BERT Composite  Score (SPBS)..- Syntax and Semantic Dual-Enhanced Chinese Named Entity Recognition..- Improve Question Generation via Dual Perspective Key Phrase Selection..- OptiACL: Optimized Anchor Contrastive Learning Framework for  Multimodal Conversational Emotion Recognition..- Implicit Validation Inference for Few-shot Named Entity Recognition..- Token Memory Transformer with Infinite Context..- FrameNet and Multiway Attention for Chinese Event Argument Extraction..- CoT-NER: A Reasoning Method via Chain of Thought for Chinese Named  Entity Recognition..- Optimizing Knowledge Graph Reasoning via Global Relation Pruning with  LLMs..- Document-level Relation Extraction with Retrieval-Augmented..- SARGAT: A Relation-Typed Graph Attention Network with Sentiment  Distance-Aware Attention for Aspect-Based Sentiment Analysis..- HierDaC: Detecting Long-Text Misinformation via Hierarchical Divide-and-Conquer..- Rethinking the Chain-of-Thought: The Roles of In-Context Learning and  Pretrained Priors..- UOS-FSNER: Unified One-stage Few-shot Named Entity Recognition..- HealthBridge: A Cross-lingual Clustering Framework for English-Chinese  Health News..- MedLite: a lightweight medical multimodal model based on knowledge  distillation and inference optimization..- Do Not Say It Directly: Generating Indirect Expressions with Large Language  Models..- ME-CWNER: Multi-metadata Embedding based Chinese Named Entity  Recognition for Wheat Diseases and Pests..- Join Social and Temporal Information for Rumor Detection..- Advancing Low-Resource Machine Translation: A Unified Data Selection  and Scoring Optimization Framework..- Multi-modal Entity Linking Model based on Knowledge Distillation..- A Semantic-Structural Synergistic Chunking Method for Enhancing Domain Specific LLM Fine-Tuning.

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Book Synopsis.- Biomedical Data Modeling and Mining..- IMVSC: An Improved Multiview Subspace Clustering in Multimodal Medical Image Application..- Pathway Variational Auto Encoder for Survival Prediction..- Predicting MiRNA-Disease Associations Using Chebyshev Graph  Convolution and Graph..- A Hybrid Architecture for 3D Abdominal Medical Images Based on Mamba..- MoRE: Structured Multisignal Encoding for Human Disposition Recognition  from Short Media Clips..- FPLRDGraph-DTA: Fusing Prior Features and Long-Range Dependent  Sequence Features for Drug-Target Affinity Prediction..- A Dual-Loss-GCN Model for Cuffless Blood Pressure Estimation Using  Photoplethysmography..- Graph Attention Network and Dynamic Adjustment Mechanism for Drug  Recommendation. .- Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking..- Anatomy-aware Mixture of Experts for Medical Vision-Language Pre-training..- SC-AGR: Spatially-Constrained Attention for Context-Aware Graph  Representation in Histopathology Whole Slide Image Analysis..- MPD-MFF: A Multimodal Parkinson's Disease Detection Method Based on Multi-Feature Fusion..- An Efficient Metadata Processing Method Based on Attention Mechanism..- MKDTI: Predicting Drug-target Interactions Via Multiple Kernel Fusion on  Graph Attention Network..- BiGAMR-Net: Bidirectional Gated Attention and Multi-scale Residual  Network for Polyp Segmentation..- HERMES: Heterogeneous Mixture of Experts Based on Segments for  Auditory Attention Decoding..- Advanced Predictive Analytics for Hemorrhagic Complications: A Multi Modal Contrastive Learning and Stacking Ensemble Approach..- A Prediction Method for Adult Height of Children Based on ACPSO-SVR..- Drug–Target Binding Affinity Prediction Based on an Improved Kolmogorov–Arnold Network and Pretrained Models..- Landviewer: Characterization of Tissue Landscapes with Multi-view Graph  Learning from Spatially Resolved Transcriptomics..- Inter-Relationship Between Pain and Depressive Symptoms in Chinese Middle-Aged and Older People: A Network Analysis..- SR-Net: High-Precision Hippocampal Segmentation and Radiomics-Based  Pipeline for Alzheimer's Disease Diagnosis and Prediction..- HNGF-NET: Hybrid Neural-Gabor Fusion Network for Brain Glioma  Segmentation..- CorGPT: Coronary Angiography Imaging Analysis Using Large Medical  Vision-Language Models..- M3Diff: Semantic Mask-Guided 3D Medical Image Synthesis via Mamba-U Net Hybrid for Data Augmentation..- KSIR-MIL: Key Region Selection and Instance Refinement for Multi Instance Learning in Whole Slide Image Classification..- A Medical Image Segmentation Network for Low-Resource Scenario..- OCTAMLLA-UNet: Leveraging Multi-Scale Linear Local Attention for  Accurate OCTA Retinal Image Segmentation..- Mitigating High-Scale Dominance in WSI Classification: A Cross-Attention and Hard Instance Mining Framework..- Drug-Target Interaction prediction based on lightweight MoE..- PLHGMDA: Pre-trained Language model and Heterogeneous Graph neural  network for MiRNA-Disease Association Prediction..- DCA-Enhancer: A Dual-Scale Convolutional Attention Network for  Accurate Enhancer Identification and Strength Prediction..- Predicting Antibiotic Resistance Genes Using a Hybrid Dataset with NT  Model and BLAST Validation..- Masked Bi-LSTM with Unsupervised Encoding for Genomic Breeding Value  Estimation..- Intelligent Computing in Drug Design..- Generating a Trustworthy Hypergraph for Traditional Chinese Medicine  Prescription Evaluation and Screening..- DrugGAN-MSM: A Generative Adversarial Approach to Molecular Design Integrating Masked Modeling and Multi-Objective Optimization..- CroMamba-DTA: Cross-Mamba for Drug-Target Binding Affinity Prediction..- CGLDM: A Conditional Geometric Latent Diffusion Model for 3D  Molecular Generation..- MetaGT-HGN: A Heterogeneous Graph Neural Network Based on Meta-Learning and a Graph Transformer for Drug Repurposing..- Single Cell Spatial Transcriptome..- Spatial Transcriptomics Domain Identification Algorithm Based on Multi Scale Contrastive Learning..- Low-Rank Multiple Kernel Model based on Local Structures Learning and  Adaptive Similarity Preserving for scRNA-seq Data Clustering..- scMGCC: A Self-Supervised Multi-Level Graph Contrastive Learning  Method for scRNA-seq Data Clustering..- SMTFusion: Multi-Order Topological Cell Graphs for Single-Cell Multi-Omics Clustering.

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Book Synopsis.- Cheminformatics..- Topological Analysis of F-Multiplicity Corona Graphs: Zagreb Indices and Applications in Molecular Design..- Graph-based Multi-scale Learning for Predicting Mass Spectra from Molecules..- A Universal Periodicity Injection Module for Crystal Property Prediction..- SM-CBNet: A Speech-Based Parkinson's Disease Diagnosis Model with SMOTE–ENN and CNN+BiLSTM Integration..- Systems Biology..- SpatialDSSC: Estimating Cell Type Abundance and Expression Profile from Spatial Transcriptomic Data..- Cuproptosis-related genes are correlated with prognostic and immune  infiltration in skin cutaneous melanoma patients..- CS-Phylo: Accelerating Evolutionary Distance Estimation with Closed Syncmer-Enhanced MinHash..- Aligning Histological Images and Spatial Gene Expression Profiles via  Dynamic Convolution and Graph Transformers..- SGAEMVN: a hybrid neighborhood-based graph attention autoencoder for  identifying spatial domains from spatial transcriptomics..- MMF2Drug: A Multi-Modal Feature Fusion Method for Improving Targeted  Drug Design..- DFDGRU-DTI: Drug-Target Interaction Prediction Based on Random Walk Embeddings and Bidirectional GRU Neural Network..- RDT-Net: A Novel Diffusion-Based Network for Intracranial Hemorrhage  Segmentation..- Feature Attribution-based Explanation Comparison of  Magnetoencephalography Decoding Models..- scAFC: Adaptive Fusion Clustering of Single-cell RNA-seq Data through  Autoencoder and Graph Attention Networks..- BIOFUSE-DDI: A Dual-Source Transformer Framework for Drug-Drug  Interaction Prediction..- MedMaskDiff: Mamba-based Medical Semantic Image Synthesis for  Segmentation..- Image Clarity Combination Method Based on Hybrid Sampling..- PDA-PAGCN: Predicting Disease-Related piRNA Based on Proxy Attention  Graph Convolutional Network..- CALM-AcPEP: Predicting Anticancer Peptides using Cross-Attention and  Pre-trained Language Model..- ACP-TransLSTM: A Novel Deep Learning Framework for Anticancer  Peptide Prediction Using Multi-Source Feature Integration..- Multimodal GAN Integrating Hypergraph and Knowledge Graph  Representations for Synthetic Lethality..- EdgeViewDet: Dynamic Edge-Centric Fusion Network with Granger  Causality for Neurological Disorders Detection..- MOMTERL: Modeling Molecular Masking and Contrastive Learning Based  on Motifs..- Respiratory Sound Classification via Multi-View Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram  Transformer..- Multi-Scale Graph Regularized Deep Learning for Accurate Drug-Protein  Interaction Prediction..- DiffiT-HSFDA: Diffusion Based Source-Free Domain Adaptation for Histopathology..- Dual-channel MiRNA Drug Resistance Prediction Model Based on  Multimodal Feature Alignment..- Whole Slide Images Based Cancer Survival Prediction Using Multi-Task  Learning..- Leveraging DermoGrabcut Segmentation for Improved CNN-Based Skin  Lesion Classification..- VirB: A Virus Hierarchical Classification Method Based on ModernBERT..- FAPE-DTI: Enhancing Drug–Target Interaction Prediction with Focal  Attention and Relative Positional Encoding..- An Adaptive Multi-View Feature Fusion Framework Based on Multiple  Graphs for Predicting Drug-drug Interactions..- E-MSNGO: Explainable Multi-species Protein Function Prediction Model  based on Aggregated Networks..- PRNet: A Contrastive Ranking Model Based on 3D Convolution and Bi LSTM for ChRs Prediction..- DeepGO-ESM: Improving the Protein Function Prediction of DeepGraphGO  via the Evolutionary Scale Modeling Framework..- scGECA: a Graph Embedded Representation Learning Approach with  Dynamic Attention Mechanism for Single-cell Clustering..- ChemTransGNN++: From Reactants to Products via Multiscale Graph Transformer Modeling of Reaction Pathways..- ReAlign-Star: An Optimized Realignment Method for Multiple Sequence  Alignment, Targeting Star Algorithm Tools..- FMAlign3: A Scalable and Adaptive Framework for Large-Scale Multiple  Sequence Alignment..- Enough Consecutive Matches in k-Tuple Common Substrings..- DeepCatl: A combination of channel attention mechanism and Transformer  encoding to predict transcription factor binding sites..- FDA-YOLO: Fast Domain Adaptation YOLO for Cross-Domain Brain  Tumor Detection in Medical Imaging..- Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph  Neural Networks for Drug Response Prediction.

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Book Synopsis.- Healthcare Informatics Theory and Methods..- GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation..- RSEF: Enhancing Fairness and Accuracy in Hematopoietic Stem Cell  Transplantation Survival Prediction through Race-Stratified Ensemble Framework..- The Cyber-Physical System of Oral Health Monitoring: a Data-Driven Approach for Inference..- MSSTDCN: A Multi-Scale Spatiotemporal Deep Convolutional Network Based on Power Spectral Density for Cross-Subject Epileptic Seizure Detection..- Ocular Disease Classification based on Heterogeneous Interaction among Visual, Diagnostic Semantics, and Generative Knowledge..- Energy Efficiency Evaluation Method Based on CNN-BiGRU-Attention in University Integrated Energy System..- Adaptive Balancing and Progressive Self-training: An Effective Semi Supervised Method forHistopathological Image Segmentation..- Multi-Modality and Multi-Grained Transformer for Accurate Radiology Report Generation..- Fine-Tuning Large Language Models for Early Mental Health Intervention in China: A Culturally Adapted Triage and Therapy Framework..- Dynamic Bidirectional Attentional Mamba Model for EEG-Based Motor Imagery Classification..- A Review of Non-Invasive Brain-Computer Interface Rehabilitation Research for Stroke..- Secure Multicenter Medical Model Inference from Homomorphic Encryption..- A 3D Liver and Tumor Segmentation Method Based on U-Mamba and Efficient Paired Attention..- Mamba-Enhanced Decoder with Prototype Consistency for Semi-Supervised Medical Image Segmentation..- BES-UNet: A Boundary Enhanced Sparse Attention UNet for Skin Lesion Segmentation..- Memory and Time: A Psychology-Informed Depression Detection..- WMCTCF: A Wavelet and Multi-scale Convolution based Transformer Cross-Modal Framework for Early Diagnosis of Alzheimer's Disease..- Cali-rPPG: A Unified Uncertainty-Aware Framework for Remote Photoplethysmography..- Biomedical Informatics Theory and Methods..- Noise-aware Self-supervised Electrocardiogram Anomaly Detection..- A multimodal small feature set-based assisted Alzheimer's disease diagnosis..- Two-Stage Multi-Stained Cell Analysis with the Segment Anything Model for Pathological Image Segmentation..- WTPAN-Net: Epileptic Seizure Prediction Model Based on Wavelet Convolutions and Attention Mechanisms..- FCGR-Enhancer: A Lightweight Multi-Scale CNN Model for Super Enhancer Identification via Chaos Game Representation..- Predicting Potential Associations Between Microbes and Diseases Using Graph Attention Auto-Encoder and PU Learning..- Cancer Subtype Recognition Algorithm Based on Hierarchical Attention and Contrastive Learning..- GEPD: GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease..- CSDT-Net: Integrating Color Space Normalization and Deformable Transformer for Robust Breast Cancer Diagnosis..- A Novel Multichannel EEG Analysis Method Using Multiscale Graph Convolution and Cross Attention Transformer for Depression Detection..- Multi-level Feature Enhancement Method for Lung Parenchyma Segmentation..- Multilevel Residual Sleep Stage Classification Based on Dual-Stream Spatiotemporal 3D Convolutional Neural Networks..- RWNet: A Recursive Wavelet-driven Network for Deformable Medical Image Registration..- A Mutually Reinforcing Semi-Supervised Active Learning Framework for Lung Surgical Section Image Classification..- FPGS-Net: An Enhanced U-Net-Based Architecture for Retinal Vessel Segmentation Integrating Fusion Pooling and Guided-Attention Skip Modules..- A New Method for Detecting Cancer Driver Genes by Constructing a Heterogeneous Network with Test-Time Training from Multi-View..- AMKD: Adaptive Multi-Modality Knowledge Distillation for Pathological Survival Analysis..- HED-Net: Hybrid Encoder and Decoder Network for Medical image Segmentation..- YOSAM: A YOLO and MedSAM-Based Framework for Automatic Measurement of Fetal Head Circumference in Ultrasound Images..- SAPS-ViM: Spatial Aggregation Prefix Synergistic Vision Mamba for Wheat Diseases Classification..- Multidimensional EEG Signal Analysis and Vision Transformer-Masked Autoencoder-Based Image Processing for Alzheimer's Disease Detection..- HeartOx: Efficient Multi-task Learning for Contactless Heart Rate and Blood Oxygen Estimation..- PISynergy: A Triplet Interaction and Causal Interpretation Framework for Drug Synergy Prediction..- Dense Depth-Supervised Simultaneous Localization and Mapping for Robust Bronchoscopic Navigation.

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Book Synopsis.- Machine Learning..- Identifying spatial domains by fusing spatial transcriptomics and histological images through contrastive learning..- A Medical Image Segmentation Network Based on Adaptive Feature Attention and Multi-scale Feature Extraction..- A Preliminary Exploration of Children Autism Spectrum Disorder Detection Based on Environmental Variables..- A Novel Approach for Drug-Drug Interaction Prediction: Utilizing Enhanced Graph Convolutional Networks and 3D Chemical Structures..- BMC-Net: A Framework for IDH Genotyping of Gliomas Based on Bi directional Mamba Sequences..- Integrating Radiomics and Deep Learning for Enhanced Three-Dimensional Meningioma Grading..- SeqAlignXGBoost: Sequence Alignment and Feature Selection for m1A Modification Site Identification..- Leveraging Large Language Models for Early Diagnosis of Inherited Metabolic Diseases Evaluation and Optimization..- HAP-MT: Alternating Perturbation Strategies Across Data and Feature Levels in semi-supervised medical image segmentation..- MTSN: A Multi-granularity Temporal Sleep Network for Sleep Apnea Detection..- Fre-CrossFormer: Utilizing Frequency Domain Cross Attention for Accurate Noninvasive Blood Pressure Measurement..- A Latent Diffusion Model for Molecular Optimization..- BAGP: A Biomedical Entity-Relation Joint Extraction Model Integrating Adversarial Training with Biaffine Attention..- A Contrastive Learning Framework for Alzheimer's Disease Classification (CLFAD)..- Intelligent Computing in Computer Vision..- ABANet: Adaptive Boundary Aggregation Network for Medical Image Segmentation..- SC3L-Net: Semi-supervised Retinal Layer Segmentation via Cross-task Consistency and Contrastive Learning..- Interactive Calibration Learning and Atrous Pyramid Spatial-Channel Attention for Semi-supervised Medical Image Segmentation..- MVCA-UNet: A Multi-scale Visual Convolutional Attention Architecture for Skin Lesion Segmentation..- MSFM-UNet: Multi-Scan and Frequency Domain Mamba UNet for Medical Image Segmentation..- APG-UNet: A Lightweight and Efficient Network for Medical Image Segmentation..- DAMF-UNet: The Dual Attention Multi-Scale Information Fusion Network for Medical Image Segmentation..- Multi-rater Medical Image Segmentation via a Mixture-of-experts Training..- BIRF-SDG: Band Importance Aware Random Frequency Filter Based Single-source Domain Generalization for Retinal Vessel Segmentation..- Genap: Generalizing Across the Augmentation Gap in Medical Image Segmentation Using Single-Source Domain..- BEA-UNet: Boundary-enhanced Dual Attention UNet for Medical Image Segmentation..- FreqSAM2-UNet: Adapter Fine-tuning Frequency-Aware Network of SAM2 for Universal Medical Segmentation..- LDMWSeg: Latent Diffusion Models for Weakly Supervised Medical Image Segmentation..- FSISNet: Exploring Mamba and Transformer for Polyp Segmentation..- Mamba Based Feature Extraction and Adaptive Multilevel Feature Fusion for 3D Tumor Segmentation from Multi-modal Medical Image..- Diakd: A Source-Free Domain Adaptation Method for Medical Image Segmentation Based on Domain-Aware Indicator and Adaptive Knowledge Distillation..- KD-MedSAM: Lightweight Knowledge Distillation of Segment Anything Model for Multi-modality Medical Image Segmentation..- Uncertainty-guided Feature Learning Network for Accurate Medical Image Segmentation..- Transformer-Based Multi-label Protein Subcellular Localization Prediction..- Gaze-and-Machine Dual-driven Attention Fusion Network for Medical Image Classification..- Enhanced FCM for Medical Image Segmentation Using Superpixel and Convolutional Autoencoder..- ARB-ABD: Robust Medical Image Segmentation with Adversarial and Boundary Enhancement..- Attentional feature fusion for pulmonary X-ray image classification..- Co-Training with Soft-Hard Pseudo-Labels for Semi-Supervised Liver Tumor Segmentation..- Multimodal Integration Based on Weak Alignment for Rectal Tumor Grading..- A Unified Framework for Few-Shot Medical Image Classification via Multi Agent Description Generation and Refined Contrastive Learning..- WCG-Net: A Multi-Frequency Perception Network for Medical Image Segmentation..- TransEdge: Leveraging Transformer and EfficientKAN with Edge Sensitivity for Advanced Medical Image Segmentation.

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Book Synopsis.- Speech-Driven 3D Facial Animation with Regional Attention for Style Capture..- Perspective Matters: Investigating the Effects of Vibrotactile Mode Design on User Experience in Action-Role Playing Game and Media..- Exploring Cultural Heritage with AR: The TAM Case Study of Nvshu..- Motion Style Transfer: Methods, Challenges, and Future Directions..- ReDACT: Reconstructing Detailed Avatar with Controllable Texture..- ShadowCraft-NeRF: Occlusion and Shadow Mitigation via SAM-Guided NeRF..- Hybrid-Granularity Image-Music Retrieval Using Contrastive Learning between Images and Music..- Text-driven Tree Modeling via CLIP-based Optimization..- Virtual Guides and Crowd Behaviors: Understanding Evacuation Decision-Making in Virtual Reality..- Visualizing the Invisible: An Efficient Framework for Microscopic Visualization..- A Design Study on Contextual and Interactive Serious Games for Children’s Learning of Chinese Character Culture..- Potential Representation Learning for Visible-Infrared Person Re-Identification in Virtual Surveillance Systems..- Improving Fidelity of Close Social Interaction Animations in Social VR with a Machine Learning-based Refinement Framework..- Simulation of Ball Levitation with SPH..- Summon Arcane: An AI-Driven Pixel Art Game with Interactive Narrative and Immersive Summoning Experience..- STA-TAD: Spatial-Temporal Adapter on ViT for Temporal Action Detection..- User Interface for Controlling Crowd in Metaverse Using Spatial Controller..- Immersion Discrepancies in Educational Serious Games Among Children's Age Groups..- Unsupervised Salient Object Detection with Pseudo-Labels Refinement..- Intelligent Compilation System for Chinese Character Animation Based on Dynamic Data Sets.

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Book Synopsis.- Early Prediction of Agitation in Community-Dwelling People with Dementia using Multimodal Sensors and Machine Learning: Benchmarking of State-of-the-Art Techniques..- Conversational AI for Cognitive, Emotional, and Social Engagement of Elderly Persons: A Large Language Model-Based Framework..- Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairment..- Continuous Monitoring of Emotional Decline in Older Chinese Adults via Hierarchical Temporal Inference..- Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering..- Transforming Digital Reminder Systems for Dementia Care into Behavioral Anomaly Detectors: A Proof-of-Concept Using LSTM Autoencoders..- BabaSpeech: A Deep Learning-Based Translation of Sign Language into Lingala Text and Speech for Deaf-Mute Inclusivity..- Scene Invariant Cross Camera Anomaly Detection of Behaviours of Risk in People with Dementia..- Enhancing Diabetic Foot Ulcer Assessment through Fine-tuned Vision-Language Models..- Brain Imaging and Tissue Segmentation from Paired CT-MRI Labels for Cognitively Normal and Dementia Cohort.

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Book SynopsisIntelligent Modeling and Simulation.- Research on integrated design of satellite energy system based on X Language.- Collaborative Modeling Method for System-CAD Integration Based on X Language.- Modeling and Simulation of High Mountain Wind Power Operation and Maintenance System Based on Petri Net.- Agent-based Wartime Medical Evacuation Modeling and Simulation.- A digital quantum simulation framework for entanglement distribution in noisy quantum channels.- An Equipment Digital Twin Modeling Method Based On TCN-Transformer.- Constructing Multi-level Credibility Models for Digital Twins: A Benchmark for Credibility Evaluation.- A Framework for Credible Self-Evolution of Equipment Digital Twins.- Control Theory and Methods for Intelligent Networked Things.- Prescribed-time event-triggered bipartite consensus in a game-based system.- Controllability of Node and Edge dynamics Multi-agent Systems.- Fixed-time synchronization of multi-layer networks via dynamic event-triggered mechanism.- Quantized guaranteed cost control for uncertain networked control systems with non-uniform  sampling.- Fixed-Time Consensus of Second-Order Multi-agent Systems under Event-Triggered Intermittent Control.- Fuzzy correlation Entropy-Based Predictive LQR Controller optimization for Heavy-Duty Vehicles.- Consensus and Controllability of Double-Layer Star Networks.- BPNN-MPC based Load Frequency Control Method for Power Systems with Variable Parameters.- ??3 Intelligent Perception and Interconnection.- Multi-FPGA-based Collaborative Platform for Composable Intelligent Algorithms.- Semi-supervised Learning-based Coal and Gangue Acoustic Signal Recognition.- Dynamic Security Perception Method for Power Production Data Network Based on PPDR.- A Multi-feature Fusion Model for RF Fingerprint Recognition in Low SNR Scenarios.- Global-View 3D Reconstruction of Complex Steel Components with Cobot-driven Line Structured Light Sensor.- Embodied Intelligence.- Design of Cable-Driven Flexible Robot Used in Laryngoscopic Surgery.- Study on the Swimming Control of Bionic Robotic Fish Based on the Shallow Brain Model.- Design of bipedal robot motion controller based on ZMP theory and MPC.- Research on Autonomous Robotic Recognition and Disassembly of Bolts.- Robotic Automated Disassembly Using Reinforcement Learning: A Case Study on Peg-Hole Disassembly.- High-Precision Hand-Eye Calibration Method Based on Contact Constraints and Iterative Optimization.- Optimization and Decision for Intelligent Networked Things.- Energy consumption optimization method for robotic disassembly process using Bees algorithm.- Distributed Mirror Descent for Nonconvex Constrained Optimization.- Distributed Constrained Optimization for General Second-Order Multiagent Systems.-Integrated Optimization of Order Picking, Production and Delivery in Customized Manufacturing System.- Reactive Jamming Resilient Power Allocation in Cognitive Radio Networks via Deep Reinforcement Learning.- Production-intralogistics Synchronized Scheduling in Matrix Manufacturing Workshops.- Distributed fixed-time optimization for external disturbances with time-varying.- Target Coverage Path Planning for Inventory Count with RFID-equipped UAV.

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Book Synopsis.- Design, Modeling and Application of AI Algorithms..- Hybrid Architecture Accelerator Co-design for DNN on FPGA and ASIC..- Modeling Competitive Behavior in Weight-Unbalanced Social Networks..- DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction..- Muography Inversion Based on First-Order Optimization Algorithm..- Regression-based Index Tracking versus Clustering-based Index Tracking: An Empirical Study..- Adversarial Imitation Learning Based on Weighted Wasserstein Distance..- Robust and Efficient Early Exit for Large Language Models: Mitigating KV Cache Loss and Enhancing Exit Stability..- CDEDI: A Conditional Diffusion Based Model for Environmental Data imputation..- Joint Forecasting of Stock Price Change Rate Based on Pretrained Models Using Text and Temporal Data..- Multimodal Deep Learning for Retinal Disease Diagnosis.

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Book Synopsis.- Robotic Dexterous Manipulation and Intelligent Control..- A Physics-informed Neural Network-based Momentum Observer Considering Velocity Effects for Contact Force Estimation in Industrial Robots..- A High-Precision and Compliant Interaction Method forRobot Based on Model Predictive Impedance Control..- Dynamics Modeling and Vibration Suppression of Industrial Robots Handling Flexible Payloads..- Dual-Channel Adaptive Impedance Algorithm with Leveling Module in Dual-Arm Collaborative Robots..- RL-Force: Reinforcement Learning with Force  Estimation for Humanoid Locomotion Subject to  Continuous External Disturbances..- Intrinsic Vision-Based Learning for Proprioceptive Sensing of Soft Pneumatic Actuators..- Visual-Guided Diffusion Policy and Mesh-DMP Integration for Robotic Freeform Surface Polishing..- Boosting Industrial Changeover Efficiency: A Large-Model-Based Explore-Then-Reproduce Framework for Changeover Tasks..- Learning Human-like Finger Gaiting on an Anthropomorphic Hand..- Learning Stable Nonlinear Dynamical Systems With Symmetric Negative Definite Matrix Generation Network..- Object's CoM-Aware Pose Optimization of Humanoid  Upperlimbs for Dual-Arm Collaborative Carrying..- Contact Driven Functional Grasp Synthesis via Hand-Object Interaction State Representation..- Intelligent Perception and Control Technologies for Marine Robotic Systems..- Co-Simulation of Trajectory Tracking Control for Underwater Vehicles: A Case Study on RexROV Using Simulink and UUV Simulator..- An Elastodynamic Modeling Approach on Component Mode Synthesis for Hybrid Machining Cell..- Safety-Critical Flocking Control of Multiple Unmanned Surface Vehicles Based on Exponential Control Barrier Functions..- Research on hybrid buoy inclined landing motion control..- Fast and Automatic Dock for Precise UAV Landing on a USV in Marine Environment..- Positioning and Orientation for Single LiDAR of USVs Obstructed By Offshore Operation Platform..- A Fault Diagnosis Scheme for Underwater Thrusters Considering Sensor Faults..- Bio-Inspired Soft Robotic Arms Capable of Object Grasping and Bipedal Locomotion in Amphibious Environments..- Position Compensation Method for Cable-Pulling Robot in Generator Maintenance without Rotor Removal..- Intelligent Technology in Neural Decoding, Modulation, and Interfacing..- Research on Pose Control Dataset Augmentation Method Based on Generative Adversarial Networks..- Optimal Electrode Configuration for Wrist sEMG-Based Gesture Recognition:A Systematic Evaluation of Number and Placement..- Robotic Grinding of Thin-Walled Parts: Reinforcement Learning-Based Chatter Suppression Method..- Electrode shift-robust decomposition of surface EMG signals via deep learning: A simulation study..- Enhancing Softness Discrimination in Vision-Based Tactile Sensors via Modeling and Optimization of Gradient-Stiffness Elastomers..- Filtering Selection for High-density sEMG in Motor Unit Decomposition..- Sensory Input Shapes Motor Output: Decoding Corticomuscular Coherence under Vibration-Induced Modulation..- Adaptive Network Design for SSVEP/SSMVEP Classi?cation via SE and Con?gurable Convolutions..- Multimodal Assessment of Visual-Motor Integration in Attention Deffcit/Hyperactivity Disorder..- Comparison of Propagation and Activation Characteristics of Motor Units Decomposed from Wrist and Forearm Surface Electromyography Signals..- High-Discrimination Multi-Level Electrotactile Feedback via Compound PerceptionDescriptors and Efficient Calibration..- Cross-Task EEG Mental Workload Detection in Aviation: An LSTM Framework Leveraging Task-Invariant Neural Signatures..- Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements..- A Physiology-Informed Training Protocol for Cross-Paradigm Transfer Learning in ErrP-based Brain-Computer Interface..- Design and Implementation of Thermoplastic Composite Robotic Winding System..- A Stretchable Resistive Electronic Skin for Shape Sensing of End Continua of Flexible Surgical Instruments..- An Intelligent Process Decision-Making Method for Robotic Grinding Random Defects via Incremental Learning and Database..- Knee Prosthesis Stair Ascending with Adaptive Clearance and Foot Placement..- A Hybrid FES-Soft Exosuit System to Improve Interlimb Symmetry in Post-Stroke Patients..- Digital Twin Modeling and Performance Evaluation of a Gimbal Servo System..- Kinematics Modeling and Calibration of a Continuum Manipulator Considering Nonconstant Elasticity..- Predictive Modeling of Robot Deformation Errors via Incremental Learning..- Soft Robotics..- Design and Analysis of a Morphing Wing Based on Corrugated-honeycomb Structure for UAV..- Design and Analysis of a Novel Metamaterial with Tunable Coefficient of Thermal Expansion..- Neural Implicit Embedded PWM Control Approach for Dielectric Elastomer Actuators with Rate-Dependent Viscoelasticity..- Design of a Rigid–Elastic–Soft Coupled DELTA Mechanism with Variable Cartesian Stiffness..- Pneumatic kirigami actuators with programmable motion for versatile robotic functionalities..- Stress Monitoring and Adaptive Grasping forRobotic Grippers Using Distributed Optical Fiber Sensing..- Radial Basis Function Neural Network-Based Adaptive Trajectory Tracking Control for Continuum Robots.

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Book Synopsis.- Hand-Centric Human-Robot Collaboration Advances in Perception, Control, and Interaction.- Electrotactile Artifact Denoisingvia Function Interpolation for Integrated sEMG-Based Prosthetic Control..- Admittance-Controlled Compliant Remote Center-of-Motion for Tele-OperatedTransurethral Resection..- Bioinspired Prosthetic Hand System with Multimodal Sensory Fusion for Naturalistic Grasping Behaviors..- RoboImagine: A Robotic Video Generation Model, For Autoregressive Long-Term Task Video Generation With Geometric And Dynamic Consistency Augmentation..- A Soft-Skin Facial Robot Capable of Real-Time Emotion-Driven Actuation through Visual Perception..- Enhancing Robustness of Hand Gesture Recognition against Sensor Data Loss by Fusing High-Density SEMG and Kinematics..- Simulation-Driven Learning for Vision-Based Tactile Force Reconstruction in Surgical Master Manipulators Using Random Marker Particles..- A Low-Cost Multisensor IMU-VIO Framework for Real-Time Full-Body Human Pose Estimation..- Shape Matching Method based on Growing Neural Gas..- Enhancing 4D ViT-Driven Gesture Recognition with Decomposed HD-SEMG..- Intelligent Technology in Healthcare.- Mamdani Fuzzy Assessment System for Oral Motor Exercise Tasks..- Motion Planning of Self-balancing Exoskeleton Robot Based on Spring-Loaded Inverted Pendulum..- Doctor-Centered Mixed Reality Tele-Guidance Training System Design..- A Novel Deep Learning Enhanced Particle Swarm Optimization for Puncture Path Planning..- Driving Logic Optimization and Fine Control of a Peripheral Electrical Stimulator Based on FPGA..- Design and Implementation of A 4-DOF Wearable Assisted Puncture Robot..- Towards Early Intervention of Knee Osteoarthritis: A Wearable System for Gait Analysis and Functional Evaluation..- A Flexible Fruit Wearable System for Real-Time and Long-Term Tomato Growth Monitoring..- LLM-Based Structured Information Extraction for Urinary Incontinence from Multi-Modal Clinical Data..- A Tactile-driven Multiple Instance Learning Framework  for Automated Industrial Detection..- Hip Joint Angle Prediction for Lower Limb Continuous  Movement in Multitasking Scenarios..- Design of a Soft Pneumatic Exosuit for Stroke-Induced  Knee Rehabilitation..- Dynamic Collision Avoidance for Slave Instruments in Robotic Cardiac Surgery..- Benchmarking State-of-the-Art Lower Limb Joint Moment Estimator Against Advanced Time Series Models..- A Mixed Reality-Based SSMVEP Brain-Computer Interface for Exoskeletons..- Outward Electrical Impedance Tomography for Atherosclerotic Arterial Wall Detection..- A CNN–LSTM-Based Prediction Method of Lower-Limb Parameters Across Multiple Locomotion Modes..- Binocular Vision-Based Spatiotemporal Feature Fusion  Model for Elderly Fall Risk Prediction..- Advanced Localization, Navigation and Control Technologies in Intelligent Robotic Systems.- Lie Group Variational Integrators For Hybrid Flexible-rigid Multibody System Dynamics Based on Projective Geometric Algebra..- High-Order Adaptive Integration of Contact Dynamics in MuJoCo..- Path planning in the anode block area for Underwater Cleaning Robots..- Experimental Optimization of Clap-and-Fling Wing Stroke Kinematics and Geometry Configuration..- Agile and Versatile Bipedal Robot Tracking Control through Reinforcement Learning..- Multi-Robot Path Planning Based on IPPO Reinforcement Learning and Imitation Learning..- Design and Control of a Multi-UAV Cabin System..- M2PT Dataset: A Multi-Motion Pattern Dataset for SLAM Evaluation on Diverse Terrains..- Design and Evaluation of a Generic Safe Control Transition System for Human-machine Cooperative Driving..- Research on Robotic Visual Inspection Path and Pose Planning for Automotive Paint Defects Considering Curvature Weights..- Multi-Agent Active Exploration Framework Based on Topological Map Fusion for Indoor Environments..- An Attention-based Diffusion Policy with Hybrid Farthest Point Sampling for Robotic Intelligent Manipulation..- Relative Pose Estimation of Substation Equipment for UAV Inspection via Deep Point Cloud Registration..- Wearable Robotics for Gait Analysis, Training, and Rehabilitation.- Humanoid Locomotion with Roller Screw-Driven Knee Joints: Design, Control, and Deployment..- Design and Implementation of a Multifunctional Desktop Pet Robot Dog Based onArduino Nano and ESP32-S3..- From Sim-to-Real to Learn-in-Real: Real-world Online Learning for Humanoid Robots..- Smart Shoe System for Accurate Gait Phase Recognition..- Wearable AI-Driven Smart Insole for Long-Term Monitoring of Lower-Limb Joint Mobility: A Pilot study..- Tri-Plane Rhythmic Signal Generation and Adaptive Oscillator Tracking:A Novel Framework for Motion Analysis..- A Marker-Free Motion Capture System Built on Unsynchronized Cameras..- Embodied Intelligence in Biomimetic Robotics, Humanoid Robotics.- Fluid Dynamics Around a Whisker..- Interaction-Friendly Trajectories via Torque-and-Jerk-Constrained Optimization..- Tactile Servo Control Based on Reinforcement Learning Applied to Flexible Wires Manipulation..- An In-situ Excitation Trajectory Optimizer for Industrial Robots in Constrained Space with Human Collaboration..- Terrain-Adaptive Bipedal Locomotion via Reinforcement Learning with Human-Inspired Stepping Strategy..- Research on Autonomously Exterior Wall Spraying Technology for Tethered Unmanned Aerial Vehicles..- A Study of the Effectiveness of Various Combined Control Schemes Based on MPC and WBC in humanoid control..- Development and autonomous tracking of miniature continuum endscope for intraocular microsurgery..- Air-ground-wall Robot with Multimodal Morphological  Adaptation..- Design and Human-Robot Collaborative Control of Reconfigurable Supernumerary Robotic Limb for Overhead Work..- Learning Whole-body Motion Control through Instruction Learning and Human Motion Data.

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Book SynopsisNLP Applications.-Self-Supervised Contrastive Learning for Content-Centric Speech Representation..-A Chunk-based Chain of Thought Prompting Method for Mitigating Over-Correction in Chinese Grammatical Error Correction..- Linguistic Differences between AI and Human Comments in Weibo: Detect AI-Generated Text through Stylometric Features..- Fine-tuning GEC Model Based on Language Family Corpus..- Statistically Optimized SGNS Model: Enhancing Word Vector Representation with Global Semantic Weight..- HFSD-V2C: Zero-Shot Visual Voice Cloning Via Hierarchical Face-Styled Diffusion Model..- CRAF:Cross-Modal Representation Alignment and Fusion for Speech Translation..- Lao-English Code-Switched Speech Synthesis Via Neural Codec Language Modeling..- UMAD: Enhancing LLM Debiasing via Multi-Agent Debate and Token-Level Bias Interpretation..- Instruction-Driven In-Context Learning for Domain-Specific Chinese Spelling Correction..- DualReward: A Dynamic Reinforcement Learning Framework for Cloze Tests Distractor Generation.Large Language Models.- RankLLM: A multi-criteria decision-making method for LLM performance evaluation in sentiment analysis..- MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models..- Improving Abstract Reasoning Ability of Large Language Models through Mixture Program-based Data Synthesis..- RJAG: Retrieval Judgment Augmented Generation..- Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models.Language Resource and Evaluation.- Unveiling the Linguistic Acceptability Judgments of Large Language Models in Multilingual Contexts..- MASP: A Multilingual Dataset for Probing Scalar Modifier Understanding in LLMs. Text Generation, Dialogue and Summarization.- Self-Preference: An Automated Method for Preference-Aligned Data Constructed from Business Metrics..- TAG: Dialogue Summarization Based on Topic Segmentation and Graph Structures..- Enabling Real-Time Conversations with Minimal Training Costs.Information Retrieval, Text Classification and QA.- EDGE: Enhanced Debiased Gradient Extraction for Robust Fine-tuning..- BiSaGA: A Novel Bidirectional Sparse Graph Attention Adapter for Evidence-Based Fact-Checking.ACL ARR Fast Track.- Cross-modal Ambiguity Learning with Heterogeneous Interaction Analysis For Rumor Detection..- Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models..- DSMR-SQL: Enhancing Text-to-SQL with Dual-Strategy SQL Generation and Multi-Role SQL Selection.Machine Translation and Multilingual Information Processing.- Quality-aware Neural Machine Translation with Self-evaluation.

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Book Synopsis.- Label Inference Attacks against Federated Unlearning..- LVLM-FDA: Protecting Large Vision-language models via Fast Detection of Malicious Attempts..- KAD: Based on the Kolmogorov-Arnold formula’s Nonlinear Dynamic Channel Weights module..- CoTSentry: Advanced Network Attack Detection with Chain-of-Thought Reasoning..- A Large Language Model Agent-Guided Multi-Agent System for Adaptive Traffic Signal Control..- FedBCE: Rethinking Clustered Federated Learning for Better Clustering Efficiency..- SAML: A Structure-Aware Enhanced Meta Learning Framework for Spatio-Temproal Graph Few-Shot Learning..- A Task-Specific Feature Fusion Strategy For Small Object Detection..- Decoupled Dynamic Spatio-Temporal Neural Radiance Fields for Enhanced 3D Scene Synthesis..- Mamba Model Based on GloVe Word Embedding for Sentiment Analysis..- DKCER-Agent: Lightweight and Efficient KNN-Enhanced Dynamic Context Optimization for Stepwise Retrieval Augmented Generation..- Robust AI-Synthesized Image Detection via Multi-feature Frequency-aware Learning..- Do Domain-Specific LLMs Keep Secrets? An Empirical Study of Privacy Risks and Membership Inference Attacks..- Dynamic Weighted Consensus Framework for LLM Multi-Agent Debate..- Streaming Hierarchical Clustering for Emerging New Class..- Masked Aggregation Learning for Enhancing Distributed Gradient Boosting Decision Trees..- Personalized learning resource recommendation framework based on knowledge graph and large language model..- The REGEN model, a LLM-based integrated framework of retrieval and QA generation from plain texts on international freight domain..- SWV: A Large-scale Sensitive Word Variants Dataset for Semantic Text Matching..- Explainable Recommendation Using Global Preference Paths on Knowledge Graph..- Hierarchical Data Protection Based on Homomorphic Encryption Algorithm..- MCAN-BIFT: An IIoT Intrusion Detection System Integrating Multi-Scale Feature Enhancement and Transformer..- Summary of the application of deep learning in fault detection..- Community Detection Attack Based on Balanced Budget Allocation..- Depth State Space Model for Light Field Depth Estimation via Text-similar Representation..- GSC-SAGE: A Generative Subgraph Contrastive Framework for Encrypted Traffic Detection..- Gradient Balanced Part-Whole Relational Weakly Supervised Semantic Segmentation..- Hierarchical Integration Knowledge Distillation: Enhancing Adversarial Robustness of Student Models via Clean Data Distillation..- Tree-based Approach for Time-independent Diffusion Network Inference..- Diffusion model-based multi-scale feature and timing consistency enhancement for ECG signal generation..- Large Language Models are Not Stable Recommender Systems: A Position Bias Perspective..- POAgent: A Multi-Agent Controller Towards Adaptive Parameter Optimization.

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Book Synopsis .- Noise-Resistant Federated Open Set Recognition..- Graph Representation-aware Online Aggregations over Knowledge Graph..- LWMUNet: Enhancing Semantic Segmentation with Learnable Linked Sliding-Window Serialization..- A Trusted Federated Learning Scheme for Distributed GAN Model Training..- Multimodal Sentiment Analysis with Modality-Robust and -Biased Representations and Distance-aware Contrastive Learning..- DeNoiseFood dataset with ECAMixDNet: an efficient denoising framework for complex textured food images..- Leveraging Language Model and Knowledge Tracing for Personalized Question Generation..- MFTP: Multi-round Feedback for Dynamic Travel Itinerary Optimization..- GraphRAG-KM: An Automated Framework for Transforming Industrial Documents into Ontology and Conceptual Models..- MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing..- AD^2-pFed: Personalized Federated Learning Based on Adaptive Bilateral Distillation with Diffusion Models..- FATDyG: A Dynamic Network Link Prediction Framework for Time, Space, and Frequency Awareness..- Resource Optimization for FPGA-based SM9 Digital Signature Algorithm..- Enhancing Pruning Efficiency via Maximum Prunable Channel Selection in Tiny Object Detection..- A Multimodal Fusion Framework employing Full-stage Attention for Survival Prediction..- Differentially Private Graph Data Publishing via Feature-based Community Detection..- Solving the Problem of Task Offloading in Heterogeneous Edge Computing Environments Using Deep Q-Networks and Attention Mechanisms..- Ant Colony Sampling with Mixture of Experts for Combinatorial Optimization..- MSCAN: Multi-Scale Context-Aware Network for Multivariate Long-Term Forecasting..- PAformer: Transformer with Learnable Period Detection and Periodic Attention for Multivariate Time Series..- ELS-GDR: Efficient Extraction of Long-Term Sequential Signals for Guiding Diffusion-Based Recommendation..- EntiFA: Entity-based Fine-grained Adaptation for Knowledge Enhancement in Large Language Models..- StressSentry-FHE: A Transformer-based Privacy-Preserving Framework for Stress Detection Using Quantized Attention..- Dual Attention Transformer with Multi-scale Perception for Multivariate Time Series Forecasting..- Uncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images..- Scale Margin Loss for Object Detection..- Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration..- BackdoorHunter: Poisoned Training Data Removal via Contrastive Responses under Pruned Models..- Can LLMs Assist Computer Education? an Empirical Case Study of DeepSeek..- Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks..- SoMORE: Social Context-aware MLLM for Video Character Search..- A Multimodal Feature Fusion Method for Analyzing Children's Interests..- Seaformer: An Adaptive forecasting Framework for Multi-source Heterogeneous Ocean Observation Data..- Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting under Uncertainty.

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Book Synopsis.- Multimodality and Explainability..- DPIMerge: An Efficient Dynamic Parameter Interpolation Framework for Alleviating Pure Text Forgetting in Multimodal Large Models..- MRF: A Modality-Resilient Framework for Handling Missing Modalities in Multimodal Learning..- StoryBench: A Dataset for Diverse, Explainable, Multi-hop Narrative Text-to-Image Generation..- Mitigating Object Hallucination through Assembled Chain-of-Thought Reasoning..- DuplexMamba: Enhancing Real-time Speech Conversations with Duplex and Streaming Capabilities..- Bi-directional Semantic Alignment for Large Vision Language Model Training via Echo-Former..- A Southeast Asian Language OCR Dataset and Evaluation for Large Multimodal Models..- DiagDiff: A Diagnosis-Aware Diffusion Model for Radiology Report Generation..- Fine-grained prosody-controllable Lao speech synthesis guided by natural language..- How Do Shared Experts Dynamically Adapt to Routing Constraints in Mixture-of-Experts?..- End-to-End VideoQA with Frame Scoring Mechanisms and Adaptive Sampling..- Visual Sketchbook: Enhancing Chart-to-Code Generation via Reflective Refinement..- Latent Feature Activation Steering for Enhancing Semantic Consistency in Large Language Models..- Gradient Co-occurrence Analysis for Detecting Unsafe Prompts in Large Language Models..- NLP Applications / Text Mining..- Enhancing Coherence Measurement based on Rhetorical Structure Theory for AES Task..- Enhancing GPT-based Input Method with Domain-Adaptive Pinyin Encoder(s)..- Improving Grammatical Error Correction with Dynamic Linguistic Knowledge Fusion..- SAGEC: Syntax-Aware Grammatical Error Correction with Retrieval-Augmented Generation..- DRA: A Dual Retrieval Architecture for Domain Chinese Spelling Check..- Label-Guided Self-Knowledge Distillation for Multi-class Text Classification..- MvDDI: A Multi-view Interaction Framework for Few-shot Drug-Drug Interaction..- MQA-SQL: Mitigating Question Ambiguity in Text-to-SQL with Multi-Model Collaboration and Multi-Variant Query Rephrasing..- Dialogue-Based Multi-Dimensional Relationship Extraction from Novels..- RAG-targeted SFT Improves RAG-enhanced Math Reasoning..- Linguistic Error-aware Data Augmentation for Lao Grammatical ErrorCorrection..- LyRE:Learning Varying Fusion Degrees with Hierarchical Aggregation to Improve Multimodal Misinformation Detection..- FTAF: Facilitating Fine-grained Toxic Language Detection via Text Rewriting and Relationship Chain Learning..- CLSurCoder: LLMs based Cross-Lingual Transfer Learning for Low-resource Language Surgical Records Coding..- CPO-SQL: Boosting Small LLMs for Text-to-SQL via Efficient In-Context Learning and Preference Optimization..- Structured Topic-Enhanced News Recommendation Method with Multi-View Learning..- Identity-Driven Hierarchical Role-Playing Agents..- MoSGCN: Aspect-based sentiment analysis via distance matrix and similarity graph..- Two Steps to Precision: Enhancing Reliable API Invocation in Code Generation..- FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios..- Open Bilingual Benchmark and Leaderboard for Large Language Models in Cybersecurity..- LLMA4ITOps: A Lightweight LLM-based Multi-Agent Framework for IT Operations and Maintenance..- Genre-Wise Graph Representations for Multi-Trait Essay Scoring..- Automatic Evaluating Scientific Reviews through Meta-Reviewer’s Lens: A Reliable Benchmark for Peer Review Generation..- Control Extreme Multi-Label Generation via Level-Guided Token Filtering..- Astronomical Catalogue Recommendation Based on Graph Neural Networks.

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Book Synopsis.- Machine Learning for NLP.- HandDiff-GAN: Handwriting Diffusion-Enhanced Generative Adversarial Networks for Character Generation..- Multi-Event Temporal Relation Extraction by Ranking..- Very-Long-Distance Dependency Capturing Evaluation via Language Modeling based on Gender Consistency..- InfoKANCSE: Enhancing Contrastive Sentence Embeddings with KAN and Information-Aware Aggregation..- Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models..- FedETE: Privacy-preserving Federated Event Trigger Extraction..- Fundamentals of NLP.- Parallel Task Planning via Model Collaboration..- SageRep: Enhancing Unsupervised Sentence Representations via Layer-Adaptive Self-Knowledge Distillation..- Improving Cross-Document Event Coreference Resolution with Word Sense Disambiguation and Large Language Models..- Summarization and Generation.- FactoScalpel: Locating and Injecting Knowledge in Transformer to Enhance Factual Consistency in Abstractive Summarization..- Emoji-Stega: An Emoji-Powered Linguistic Steganography Framework for Social Networks..- Knowledge-enhanced Text Summaries for Factual Problems..- DiSG: A Discourse Structure-aware Multi-Stage Approach for Long Tibetan Text Summarization..- Detecting and Correcting Hallucinations in LLMs via Substantive Uncertainty and Iterative Validation..- Others.- Directional asymmetry in the perception of Mandarin Chinese vowels by native English speakers..- Thoughts Behind Attack: Enhancing Security Against Jailbreak Attacks Using Chain-of-Thought..- Unlocking the Power of Large Language Models for Multi-Table Entity Matching..- Mongolian Speech Recognition Based on Semi-Supervised Learning and Syllable Subword Modeling Units..- CEBFL: A Cost-Effectiveness-Based Approach to Defending Against Gradient Attack in Federated Learning..- IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval base on Semantic Comprehension in Retrieval-Augmented Generation Scenarios..- Evaluation Workshop.- Overview of the NLPCC 2025 Shared Task 1: LLM-Generated Text Detection..- When Less is More: Minimal Prompts with LoRA for LLM Text Detection..- EnsemJudge: Enhancing Reliability in Chinese LLM-Generated Text Detection through Diverse Model Ensembles..- LOW-COST-AI-DETECTOR: An Efficient and Cost-Effective LLM-Generated Chinese Text Detection Model for NLPCC2025 Shared-Task 1..- Overview of the NLPCC 2025 Shared Task2: Evaluation of Essay On-Topic Graded Comments(EOTGC)..- Optimizing Automated Essay On-Topic Graded Comments via LLM-Based Prompt Augmentation..- Decomposing Topic Relevance: A Multi-Agent LLM Approach for Automated Essay Scoring and Feedback..- Overview of the NLPCC 2025 Shared Task 3: Comprehensive Argument Analysis for Chinese Argumentative Essay..- Knowledge-Enhanced and Event-Rule Guided Framework for Fine-Grained Argument Mining in Chinese Essays..- Comprehensive Argument Mining for Chinese Argumentative Essays Using Large Language Models..- Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, Multi-hop Medical Instructional Video Question Answering Challenge..- Multi-hop Knowledge-enhanced Query Reasoning for Multi-modal Medical Video QA..- Hierarchical Indexing with Knowledge Enrichment for Multilingual Video Corpus Retrieval..- Hierarchical RAG-driven Multi-hop Reasoning for Medical Video Question Answering..- Overview of NLPCC 2025 Shared Task 5: Chinese Government Text Correction with Knowledge Bases..- CGT-Corrector:Chinese Government Text Correction with Knowledge Bases..- KARTC: Knowledge-Aware Rewriting with Large Language Models for Chinese Government Text Correction..- Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge..- From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing..- Qwen-Gender: A Chain-of-Thought Based Multi-Task Gender Bias Mitigation System..- Detection, Classification, Mitigation of Gender Bias in Large Language Models..- Overview of the NLPCC 2025 Shared Task 8: Personalized Emotional Support Conversation..- Optimizing LLMs for Personalized Emotional Support with Future Cues and Response Diversity..- Empathetic Dialogue Generation with LLMs for Emotional Support..- Role-Guided Synthesis for Emotional Support: A Two-Stage Framework with Multi-Agent Dialogue Synthesis.

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Book SynopsisProposal and application of blind source separation problem.- Mathematical model and separability condition of blind source separation.- Blind source separation theory basis.- preprocessing technology of blind source separation.- Gradient based overdetermined determined blind source separation algorithm.- Fast ica algorithm for overdetermined determined blind source separation.- Overdetermined determined blind separation algorithm based on joint diagonalization.- Blind source separation technique of overdetermined convolutional mixed.- Estimation of sufficiently sparse underdetermined mixed matrix.- Estimation of insufficiently sparse underdetermined mixed matrix.-source signal recovery algorithm based on compression reconstruction.- Other algorithms for source signal recovery.- The application of bss in communication signal processing.- Measurement experiment for bss of communication signal.

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Book SynopsisChapter 1: Policy Based Verification and Enforcement for Generation of SSL/TLS CertificACates.- Chapter 2: The Revolutionary Potential of Technology for Empowering Individuals with Autism.- Chapter 3: Nepali Word Spelling Correction Using Ensemble Learning Technique.- Chapter 4: The impact of information security policies and innovations in digital technology on the transformation of healthcare in developing nations: A literature review.- Chapter 5: Integrating Multi-Omics & Clinical Narratives for Predictive Modeling: Genomics, Transcriptomics, Proteomics, and Medical Texts in Disease Analysis.- Chapter 6: A Comprehensive Survey of Fake Review Detection Technology.- Chapter 7: A Hybrid Intelligent Decision Support System for Automating Financial Credit Evaluation.- Chapter 8: Advancing Taxation in the New Era: Enhancing Tax Ratios with the Core Tax Administration System (CTAS).- Chapter 9: Enabling Grid Stability: Harnessing PMU Data for Data-Driven Analysis of Grid Frequency Events.- Chapter 10: Machine learning techniques to detect fake news on social media: A systematic review. etc.

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