Artificial intelligence (AI) Books
Springer Uncertainty and Imprecision in Decision Making and Decision Support New Advances Challenges and Perspectives
Book SynopsisIntuitionistic Fuzzy Multi-Modal Topological Structures.- From Type-2 Fuzzy to Type-2 Intervals and Type-2 Probabilities.- Fuzzy Metric on Fuzzy Sets Induced by Fuzzy Arithmetic.- Properties of Some Intuitionistic Fuzzy Operators Defined over Intuitionistic Fuzzy Index Matrices.- About the Completeness of Lp Space of Intuitionistic Fuzzy Observables.- McCulloch-Pitts Neuron Model in OFN Notation.- Unbalanced Data Supported by Federated Learning with Uncertainty by Different Aggregation Methods.- The Use of PerceptronOFN to Implement Logical Functor.- Generalized Net Model of Ordering Points to Identify the Clustering Structure (Optics) Algorithm.- New Version of the InterCriteria Analysis.- Harnessing Monarch Butterfly Optimization Algorithm for Efficient Vehicle Routing with Time Windows and Priorities.- Use of Artificial Duroc Pigs Optimization in Solving Multi-Extreme Problems.- Neuro-Fuzzy Models of Certain Human Movements in Post-Stroke Patients.- Deep Neural Network-Based Intuitionistic Fuzzy Assessment Prediction for Acute Uncomplicated Cystitis.- Generalized Net Model of Arterial Supply to the Brain in Healthy Individuals.- Generalized Net Model of the Cerebral Venous System in Healthy Individuals.- Intuitionistic Fuzzy Multicriteria Decision Making in Low Urinary Tract Symptoms.- Intercriteria Analysis of the Influence of the Different Sports Activities on the Physical and Emotional Status of University Students.- Generalized Net Model of Rehabilitation Algorithm for Patients with Osteoarthritis.- Improving Insurance Catastrophic Data with Resampling and GAN Methods.- Smart City Intelligent Transport System: Intuitionistic Fuzzy Estimates for the Use of Parking Spaces in Large Cities of Bulgaria.- A Hybrid Method with Intuitionistic Fuzzy Estimations in Water Leak Detection with Underground Vibration Sensors.- A Generalized Net Model of Quality of Service Estimation of the Information Security Stage of an Overall Telecommunication System.- Use of Order Fuzzy Numbers in a Fuzzy Logic Control System.- An Application of Particle Swarm Optimization Algorithm in the Sensor Placement Optimization Problem.- A Generalized Net Model of the Electrical Power and Security Functioning of Smart House.
£170.99
Springer Applied Artificial Intelligence 3 Medicine Biology Chemistry Financial Games Engineering
Book Synopsis.- Community Event Discovery Using ‘X’ Data Stream.- Advanced Risk Management Practices The Application of the Exact Solutions Methods for Resilience Factors Improvement.- Efficient Sequential Detection: Enhancing Cancer Detection In Sequential MRI Sequences.- On Semantic Association Capabilities of GPT LLMs in a Game of Word Associations.- The Possibility of Bone Fracture Prediction in Osteoporosis Treatment Through Use of AI, etc.
£170.99
Springer Artificial Intelligence in Education. Posters and Late Breaking Results Workshops and Tutorials Industry and Innovation Tracks Practitioners Doctoral Consortium Blue Sky and WideAIED
Book Synopsis.- BlueSky..- CLJ4AI: Citizen Learning Journey for AI..- Why the Future of AIED is Causal: Arguments for Creating a Tradition Based on Causal Thinking..- Pedagogy-driven Evaluation of Generative AI-powered Intelligent Tutoring Systems..- AI in Educational Digital Escape Rooms: State of the Art and Perspectives..- On the role of domain experts in creating effective tutoring systems..- Practitioners, Industry and Policy..- SchrijfBlik: Safeguarding the validity of writing assessment in the age of AI..- AMELIA: An AI teaching assistant for equitable STEM Education in Rural Peru..- MindMate: An LLM-Powered Mental Health Companion for Adolescents..- A Conversational Tool Based on Knowledge Graph, LLMs and BERT Model for Work-Study Programs in France..- From Insights to Impact: An Agentic Learning Intelligence Framework for Student-Centred Success..- Pilot Study of Self-explanation Based Automate Stuck Point Detection and Personalized Feed-back Recommendation by Educational eXplainable AI Tool in Middle School Math Classes..- Building Effective Safety Guardrails in AI Education Tools..- A Gateway for Egalitarian Access to LLM Based Resources..- Systematic Control of Multiple-Choice Item Difficulty through LLM-Based Distractor Generation..- Towards Actionable GenAI-Classroom Integration: A Social Role Framework for Teacher’s Practice..- SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context..- WideAIED.- AI Coding Assistants in Competitive Programming: Empirical Studies from India on Human-AI Interactions in Learning, Problem Solving, and Curiosity Development Perspectives..- Gamified Intelligent Communities of Practice: A Path To Support Underprivileged Teachers..- Artificial Intelligence and Public Education Policy: Improving Textbook Evaluation in Brazil..- Prediction of Online Mathematics Test Efficiency Based on Stacked Integrated Models: A Case Study of NAEP Data..- Structural and Semantic Analysis Techniques for Translation Evaluation of Educational Materials..- Advancing MOOCs Personalization: The Role of Generative AI in Adaptive Learning Environments..- Does the Early Bird Get the Worms? K -12 Teachers’ Perceptions on the Use of Generative Artificial Intelligence in Chinese Classrooms..- MAS-CPS Assessor: A System for Evaluating Collaborative Problem-Solving Skills in Multi-Agent Environments..- Doctoral Consortium.- Evaluating the Impact of LLM-Generated Assignment Report Summaries in Intelligent Tutoring Systems..- Fair for whom? Investigating school identity, algorithmic fairness, and educational technologies..- Fine-tuning Large Language Models for Knowledge Tracing Harnessing Insights from Explainable AI..- Assessing the Effectiveness of GenAI Tutoring for Tertiary Academic Probation Students: A Repeated Measures Study using ChatGPT..- AI-Powered Classification of Medical Students’ Professionalism Profiles..- Identifying and Fostering Self-Regulated Learning Among Computer Programmers Using Artificial Intelligence Systems..- Personality-Aware Conversational Intelligent Tutoring System with GenAI: Studying the effect on Learners in Introductory Programming..- Perceptions of Secondary School Students Solving Math Word Problems in a Foreign Language with GenAI Support..- Designing An Ethical Framework for the Integration of Generative AI in Higher Education: Balancing Stake-holder Interests and Enhancing Learning Outcomes..- Augmenting LLM Generated Feedback with Data Mining..- Towards Ordinal Few-Shot Learning for Automated Essay Grading..- Rewriting the Rules: LLMs vs. Traditional ML in University Admissions ..- A Learner-AI-Parent Collaboration Framework for Home Learning Environment..- LFPKT: Enhancing Learning and Forgetting Processes in Attention Based Knowledge Tracing Models..- Towards Secure AI in Education: A Case Study on Automatic Short Answer Grading..- Integrating Learner Models: The mAIchart Project..- Enhancing Knowledge Tracing with Large Language Models (LLMs)..- Towards Mining Effective Pedagogical Strategies from Learner–LLM Educational Dialogues..- Intelligent Support for Practice Goal Setting to Enhance Learning..- Toward Extracting Computational Thinking Evidence with Large Language Models: Empowering K-12 Educators..- Comparing the Effectiveness of Digital Game-Based Learning and Embodied Learning..- AI-Powered Intelligent Tutoring System for Game Design Document Writing..- Improving Student Support Personalization with Historical Data and Theoretically Informed Feature Choice..- Predicting At-Risk Programming Students in Small Imbalanced Datasets using Synthetic Data..- Exploring Multimodal Quiz Generation and Evaluation Aligned with Higher-Order Learning Objectives in Bloom’s Taxonomy..- Adaptive, Scalable, and Human-Centered Technology for Data Visualization Literacy and Educational Assessment Development..- Designing and Evaluating AI-generated Multimodal Analogy-Based Explanations..- Multimodal Story Generation Using Generative AI for Contextualised Mathematics Education..- Large Language Models to Enhance Learning In Cultural Heritage..- Understanding Human-GenAI Collaboration for Complex Problem-Solving Tasks in Online Settings..- Overview of AI Grading of Physics Olympiad Exams..- From One-Size-Fits-All to Personalisation: Transforming Gamified Learning Through Localisation and Multidimensionality in the Arab Culture..- Supporting Information Problem Solving in the Age of Misinformation and Generative AI: A Socio-technical Approach.
£71.24
Springer Artificial Intelligence in Education. Posters and Late Breaking Results Workshops and Tutorials Industry and Innovation Tracks Practitioners Doctoral Consortium Blue Sky and WideAIED
Book Synopsis.- Late Breaking Results.- Using ControlNets with Generative AI Models to Create Illustrative Diagrams for Mathematics Word Problems..- A RAG-Enhanced AI Feedback for UML Education..- A Zero-Shot LLM Framework for Automated Assignment Grading in Introductory Higher Education Courses..- From Code to Insight: How LLMs Help and Hinder Qualitative Research..- Grading university students with LLMs: Performance and acceptance of a Canvas-based automation..- Short-Term Gains, Long-Term Gaps: The Impact of GenAI and Search Technologies on Retention..- Enhancing Teacher Support in Learning Technologies: A Human Centered Approach with WearableLearning..- SSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning..- TPRS: AI-Assisted Research Topic Refinement for Distance Learners..- Facilitating Teacher Coaching: Generating Insightful Comments on Classroom Instruction through Multi-Agent Reflection..- Modeling Socially Constructed Knowledge using Multimodal Machine Learning: A Case Study in K-12 AI Literacy Education Classroom..- beSEL: A Human-Aligned LLM Teaching Assistant for Enhancing Social-Emotional Learning..- Automated Essay Scoring using Logical Structure Graph Information..- Leveraging AI for Persons with Disabilities: Investigating their Needs and Gaps in AI-supported Assistance..- AI-Powered Math Learning: Evaluating the Impact of a Personalized Tutoring Platform that Respond to Affect..- Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students’ (Mis)Understanding Is Hinted..- Leveraging Large Reasoning Models for Test Equating Without Anchor Items: A Simulation Study with O1 and DeepSeek-R1..- Leveraging Knowledge Profiles and Generative AI for Realistic Student Response Generation..- LLMs to Support K–12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example..- Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses..- ScoreCLIQ: A Dynamic LLM-Based Framework for Item Difficulty Estimation..- LLM Agents for Verifiable Question Generation and Grading..- Computer Vision for Objects used in Group Work: Challenges and Opportunities..- From Sketch to Understanding: Exploring LLM-Based Assessment of Student-Drawn Science Models..- Riding on The Back of A Whale: A Hackathon Framework for Introducing High School Students to Large Language Models..- Design and Validation of the Psychometric Properties of a Questionnaire Measuring AI Literacy Among University Students: Preliminary Results..- ChatGPT’s Impact on Students’ Performance in Solving Tasks Requiring Critical Thinking..- Intent-Based vs. LLM-Based Chatbots in MOOCs: Do Diverse Students Experience Them Differently?..- A GenAI-enhanced Platform for Personalized Doctoral Progress and Well-being Support through Single-case Analytics..- AGen: Personalized Analogy Generation with Large Language Model..- ’The World of AI’: A Novel Approach to AI Literacy for First-year Engineering Students..- Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving..- VETTING AI for Deeper Learning: Constraining LLMs to Encourage Student Inquiry..- Exploring the Feasibility of Personalized AI Feedback to Improve Children’s Planning Skills..- Exploring AI Chatbots for Learning Mathematics: Students’ Perspectives on Accuracy and Educational Value..- Making Generative AI Hallucinations Useful by Reassessing the Troublemaker Agent Strategy..- Enhancing Collaborative Academic Writing with Generative Artificial Intelligence: Use and Effects..- Exploring Students’ Generative AI Usage Patterns and Knowledge Creation in Collaborative Problem Solving..- Leveraging Multi-Modality and Collaborative Filtering for Supporting Automatic Scoring in Mathematics Education..- Developing Artificial Intelligence Explanations for Technology Enhanced Learning with and for Special Educational Needs Children and Teachers..- SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback..- How far are we from automatic grading of handwritten cloze form questions?..- ProductiveMath: A Generative-AI-Powered App to Support Productive Failure Teaching..- Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework..- Mining Student Activity Sequences in a Large-scale Online Programming Course..- Assessing Lecture Difficulty and Unexpected Events Using Subtle Facial Cues.
£71.24
Springer Artificial Intelligence in Education. Posters and Late Breaking Results Workshops and Tutorials Industry and Innovation Tracks Practitioners Doctoral Consortium Blue Sky and WideAIED
Book Synopsis.- Late Breaking Results.- Beyond Detection: Rethinking Education in the Age of AI-writing..- Help-Seeking in Problem-Solving: Comparing Generative AI, Peers, and Teacher..- How Teacher-Provided Need Support Affects Learning Performance in Human-Computer Collaborative Teaching Environments..- Deep Reinforcement Learning for Engagement-Aware Question Selection in Adaptive Assessment Systems..- Knowledge, uses and perceptions of ChatGPT in higher education..- Inclusive Data Literacy: UDL and AI-Assisted Data Storytelling for BVI Students..- Virtual Simulated Patients for Medical Interviews Using Large Language Models with a Self-Refinement Mechanism to Suppress Excessive Responses..- Playful Pathways to AI Literacy: Designing NLP Activities for Middle School AI Education..- Generating Diverse Difficulty Examples in Embedding Vector Spaces via Inverse Embedding..- Knowledge Tracing with A Temporal Hypergraph Memory Network..- An Augmented Intelligence System for Automated Quality Control and Feedback Generation of Multiple Choice Test Items..- ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs..- Effects of Human and Automated Feedback on Preservice Teachers’ Nonverbal Teaching Skills During Microteaching..- Avalon: A Human-in-the-Loop LLM Grading System with Instructor Calibration and Student Self Assessment..- Empowering Teachers with Technology: A National Study on a Formative Assessment Platform..- CASSA: Context-Aware Self-Attention with Global Context Suppression and Relevance Modulation for MCQ Difficulty Estimation..- Privacy-Preserved Automated Scoring using Federated Learning for Educational Research..- Dude, where’s my utterance? Evaluating the effects of automatic segmentation and transcription on CPS detection..- VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback..- "Small Device, Big Decision:" Comparing Lightweight LLMs’ Computational Performance and Output Quality for AIED Unplugged..- Personalized Math Learning for Young Learners: Preliminary Findings from a Rigorous Study of a Game-Based Program..- Teachers’ Perspectives on Using and Teaching Artificial Intelligence in Early Primary Education..- Automatic Assessment of Spoken English for Uruguayan Spanish L1 Young Learners..- Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment..- Tutor or Mentor. A Comparative Usability Study of AI Roles in Higher Education..- Workshops and Tutorials.- XAI-Ed: Half-day Workshop on Pedagogy-Founded Explainable AI for Transparent, User-Centered AI in Education..- Workshop on Epistemics and Decision-Making in AI-Supported Education..- D-SAIL - Transformative Curriculum Design: Digitalisation, Sustainability, and AI Literacy for 21st Century Learning (Half-Day Workshop)..- Second Workshop on the Automatic Evaluation of Learning and Assessment Content..- Human-AI Collaboration and Culture For Equity and Inclusion..- Preparing teachers for an equitable AI integration in education (Half-day workshop)..- AI Literacy For All: 1st International Workshop on AI Literacy Education For All (Half-Day Event)..- Workshop on Advancements in AI-Supported Exploratory Learning (AI4EL)..- Applications of Generative AI to Support Teaching and Learning in Higher Education: A Half-Day Workshop..- Intelligent Textbooks: The Sixth International Workshop..- Full-day Tutorial: Conducting in-the-moment data-driven classroom interviews (DDCI) during digital learning using Quick Red Fox (QRF)..- Ethical Artificial Intelligence and Education: The need for international regulation to foster human rights, democracy and equity..- The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’25)..- NLP and Generative AI for Language Learning and Assessment: Synergies between Research and Practice..- Fair4AIED 2025 – First International Workshop on Fairness in Algorithmic Decision-Making for Education..- Multimodal Interactions and Explainable AI for Reflective Physical and Online Learning: miXai^learn Workshop.
£71.24
Springer Innovation and Research Smart Technologies and Systems
Book Synopsis.- Application of Reverse Engineering and Additive Manufacturing in the Construction of Mechanical Components through 3D Printing.- Functional Prototype of an Ultrasonic Smart Cane for Visually Impaired People.- Streamlined Signal Processing for Electrocardiogram ECG.- Trajectory tracking of a wheeled mobile robot based on particle swarm optimization, etc.
£170.99
Springer Quantum Computing from Hopfield Nets
Book SynopsisPreface.- Part I. Preliminaries.- 1. Setting the Stage.- 2. Boolean Domains, Numbers, and Vectors.- 3. Kronecker Products.- 4. QUBOs.- 5. QUBO Models.- Part II. Hopfield Nets.- 6. Hopfield Nets.- 7. Hopfield Nets in Action.- 8. Hopfield Nets and Statistical Mechanics.- 9. Hopfield Nets and Quantum Mechanics.- Part III. Quantum Computing.- 10. Quantum Mechanics in a Nutshell.- 11. Exploring Quantum Weirdness.- 12. Adiabatic Quantum Computing.- 13. An Outlook to Quantum Gate Computing.- Index.
£44.99
Springer International Publishing AG New Trends in Disruptive Technologies Tech Ethics and Artificial Intelligence
Book Synopsis.- Benchmarking DINOv2 on Large-Scale Multiclass Classification Tasks: a Flowers Case Study.- AI-Driven Personalization in Mobile Health Applications: An Elderly-Focused Approach to Health Monitoring and Prediction.- Assisted Development of an Urban Planning Ontology via Human–AI Collaboration: A Case Study in Algodre (Zamora).- Are the graph neural networks better than standard classifiers? - Classification of skin cell structure in optical microscope images using transfer learning and watershed segmentation, etc.
£170.99
Springer Green Artificial Intelligence and Industrial Applications GAIIA
Book SynopsisUnveiling the Unexpected Links Between Low-Cost Transactions and Taxi Usage.- A Case Study Predicting the Type of Intrusion Attack Using Deep Learning Algorithms.- A Comparative Study of Temperature Prediction Using Deep Learning Models.- Wind Speed Prediction using Deep Learning.
£189.99
Springer Intelligent Systems and Applications
Book SynopsisAnalyzing the Role of Fusing Image and Time Series Data in Forecasting Rainfall-Induced Landslides.- GenAI Chatbots as Agents in a Community of Inquiry: Exploring Their Role in Online Distance Learning.- Behavior Design for Building Trust on Smart Home-Based Food Intake Monitoring System for Older Adults.- Quantitative Assessment of a Communication Architecture for Smart Manufacturing.
£189.99
Springer Progress in Intelligent Computing and Secure Communication Systems
Book Synopsis.- Communication, Networking, and Broadcast Technology.- Wireless Communication Systems.- Optical Communication Systems.- Satellite Communication Systems,etc.
£189.99
Springer Intelligent Systems From Theory to Applications
Book Synopsis"Dedication.- Acknowledgments.- Foreword.- Preface.- About This Book.- Acronyms.- 1".- " Introduction to Intelligent Systems".- "2. The Evolution of Artificial Intelligence".- "3. The Turing Test and Fundamental AI Concepts".- "4. Modern Applications of Intelligent Systems".- "5. Problem Formulation and Search Spaces".- "6. Uninformed Search Algorithms".- "7. Informed Search Algorithms".- "8. The A* Algorithm".- "9. Genetic Algorithms".- "10. Hill Climbing".- "11. Simulated Annealing".- "12. Gradient-Based Optimization".- "13. Tabu Search.- "14. Swarm Intelligence".- "Part III. Advanced Machine Learning".- "15. Introduction to Machine Learning".- "16. Supervised Learning".- "17. Unsupervised Learning".- "18. Reinforcement Learning.- Appendix A: Uninformed Search Algorithm Exercises.- Appendix B: Informed Search Algorithm Exercises.- Appendix C: A* Algorithm Implementation Exercises.- Appendix D: Genetic Algorithms Exercises.- Appendix E: Hill Climbing Exercises.- Appendix F: Simulated Annealing Exercises.- Appendix G: Gradient Descent Optimization Exercises.- Appendix H: Tabu Search Exercises.- Appendix I: Swarm Intelligence Exercises.- Appendix J: Machine Learning Fundamentals Exercises.- Appendix K: Supervised Learning Exercises.- Appendix L: Unsupervised Learning Exercises.- Appendix M: Reinforcement Learning Exercises".
£53.99
Springer Intelligent Systems and Applications
Book SynopsisIoT for Sustainable and Intelligent Health Care.- Literature Review on Architecture for Smart Product Service Systems.- Personalized Healthcare Using AI and IoT.- Modeling the Relationship Between Traffic Intensity and Urban Air Pollution with LSTM Networks.- Multi Timescale Traffic Intensity Forecasting.- Extraction of Entities from Stock Analyst Reports via Language Models.- Repeated Clustering of Scores Improving the Precision.
£189.99
£189.99
Springer Advances in Data Science and Optimization of Complex Systems
Book Synopsis.- Investigation of the modeling capability of Kolomogrov Arnold network for part quality prediction in machining.- Enhancing Taxonomy Construction via Sentence Embedding Models Trained with LLM-Generated Similarity Scores.- Feature Extraction Methods for Anomaly Detection using Electrocardiography Signal, etc.
£170.99
£208.99
£189.99
Springer-Verlag GmbH Agents and MultiAgent Systems Development
£178.20
Springer-Verlag GmbH Emerging Trends in Information Systems and Technologies
£198.00
Springer Agentic Design Patterns
Book SynopsisIntroduction.- Prompt Chaining.- Routing.- Parallelization.- Reflection.- Tool Use.- Planning.- Multi-Agent.- Memory Management.- Learning and Adaptation.- Model Context Protocol (MCP).- Goal Setting And Monitoring.- Exception Handling and Recovery.- Human-in-the-Loop.- Knowledge Retrieval (RAG).- Inter-Agent Communication (A2A).- Resource-Aware Optimization.- Reasoning Techniques.- Guardrails/Safety Patterns.- Evaluation and Monitoring.- Prioritzation.- Exploration and Discovery.- Appendix.
£42.74
Springer AI and ChatGPT Technology in Education
Book SynopsisChapter1 Introduction.- Chapter2 How does Chatgpt work - and what can it do? From open and spontaneous curiosity to systematic analysis.- Chapter3 Do chatbots have consciousness?.- Chapter4 KB: Do you have self-consciousness? From self-consciousness to machine learning.- Chapter5 AI-chatgpt in the education sector's public and political debate.- Chapter6 Chatgpt in the educational practical action roo.- Chapter7 AI-chatgpt involved, but also challenged by the milestones of the learning process.- Chapter8 In light of the debate on professional bildung and increased digital literacy.- Chapter9 The necessity of academic subject critique and technology criticism.
£142.49
£132.99
Springer Advances in Computational Intelligence
Book Synopsis.- Explainable and Interpretable Machine Learning (xAI) with a Focus on Applications..- Understanding of Latent spaces in a battery aging prediction model through eXplainable AI..- Exploring brain lateralization using Tensor decomposition of EEG phase-amplitude coupling..- Ethical Considerations in Artificial Intelligence and Machine Learning..- Kolmogorov-Arnold Networks for the Development of Intrusion Detection Systems..- General Applications of AI..- Machine Learning based Screening for Psychological Distress using a Perceived Control Mobile App..- Tobacco and Weed Segmentation from Remote Images Using Artificial Intelligence..- A Hybrid ResNet50-LSTM Architecture for Video Sentiment Analysis..- Towards a Framework that facilitates the Construction of Image Segmentation Models..- TASER-Net: Transformer Based Speech Emotion Recognition..- Experimental Analysis and Modeling of Electrochemical Oxygen Pump Cell ECOpump..- Empowering Scalable Fraud Detection Using Graph Neural Networks and Incremental Learning..- Transfer Learning approach for prediction of maximum wave height in two locations of the Bay of Biscay: Bilbao and Cabo de Pe˜nas..- Classifier fusion for the detection of defects from active thermography..- Multimodal analysis of neuropsychological tests from EEG and fMRI data..- Solid-waste Classification Using Deep Learning Fusion Model..- Improving PV power prediction based on GRU and meteorological factors..- Poisson Hamiltonian Neural Networks: Structure-Preserving Learning of Dynamical Systems..- SEF-Net: A Hybrid Deep Learning Architecture for Multi-Step Forecasting in Sustainable Energy Markets..- A new approach to detecting occupational diseases using time series..- Comparative Analysis of Spiking Neurons Mathematical Models Training using Surrogate Gradients Techniques..- ITOMAD – Intelligent Techniques for Optimization, Modeling, and Anomaly Detection..- Design and Capture of a 5G SA Traffic Dataset Under Jamming Conditions..- Predicting TiO2 and FeO Concentrations in Lunar Regolith Using Machine Learning Models: A Spectral Reflectance Approach..- Optimal malware mitigation in IoT networks: A comparative study of Neural ODEs and Pontryagin’s maximum principle..- Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications..- A Short Analysis of Hybrid Frameworks Based on Self-Organizing Maps to Improve Traditional Systems..- Comparative Performance of Convolutional Neural Networks and Vision Transformers for Quality Assurance of a Welding Process..- A Novel Indicator for Nitrogen Prediction in Wastewater Treatment Plants. Implementation of Intelligent Agent-Based..- Power Prediction System for Photovoltaic Panels Using Artificial Intelligence..- Towards safer hydrogen infrastructure: anomaly detection in synthetic hydrogen dispensing data..- Machine Learning for 4.0 Industry Solutions..- Physics Informed Machine Learning for Power Flow Analysis: Injecting Knowledge via Pre-, In-, and Post-Processing..- Dimensionality Reduction and Outlier Analysis for the NF-ToN-IoT Cybersecurity Dataset..- Data-Driven All-Optical Magnetometry: A Comparative Evaluation of Regression Models Using NV Center Fluorescence Lifetimes..- Smart Incident Prediction from NOC Alert Events in Digital TV Broadcasting Networks..- Machine Learning for Photovoltaic System Optimization and Control in Modern Energy Grids..- Symmetrical Current Flow Reconstruction for Sector-shaped Multi-Wire Cables using Machine Learning..- Comparison of Multiclass Classification on Impedance Spectra to Estimate the State of Charge of Zinc-Air Batteries..- Edge Machine Learning for All-Optical Fluorescence Lifetime-Based Sensing With NV Centers..- Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data..- Computational Approaches for Resolving the Low-Field Ambiguity in All-Optical Magnetic Field Sensing With NV Centers..- Improved Post Processing Model for Photovoltaic Power Forecasting based on Clustering..- New and future advances in BCI-based Spellers..- An event-related potential BCI speller using a wearable, single-channel EEG headset with electrodes on the forehead..- A Framework for Controlling NV Centers with OPX+: Design, Implementation, and Applications..- Exploring Code-Modulated Visual Evoked Potentials Spellers in Realistic Scenarios..- Towards Secure Transaction Authentication Using a cVEP-Based BCI..- Evaluating Color Heterogeneity in RSVP-Based ERP-BCIs..- Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance..- BCI with Intuitive Object Control based on Code-Modulated Visual Evoked Potentials..- Exploring the integration of c-VEP-based BCI spellers in mixed reality: a pilot study..- Social and Ethical aspects of AI..- Quantitative and qualitative evaluation on local explainability models for anomaly detection algorithms..- Bias and Fairness in NLP: Addressing Social and Cultural Biases..- Trustworthy AI Benchmark for Responsible Smart Grid as Critical Infrastructure..- TextNet: End-to-End Deep Learning Framework for Dynamic and Contextually Aware Text Clustering..- Implications of Human+Machine Systems as Critical Infrastructures under Sustainable Development Goals.
£123.49
Springer KI 2025 Advances in Artificial Intelligence
Book Synopsis.- Full Technical Papers..- Augmenting Systematic Literature Reviews: A Human-AI CollaborativeFramework..- Balanced Reciprocity for Data Sharing - Axiomatization andMechanism Design..- Toward Short and Robust Contrastive Explanations for ImageClassification by Leveraging Instance Similarity and Concept Relevance..- Intermediate-Task Transfer Learning for Bioacoustic Data..- On the Domain Robustness of Contrastive Vision-Language Models..- Numbers Don’t Lie: Hybrid Extraction and Validation of QuantitativeStatements in Arguments with Semi-Structured Information..- A Hybrid Constraint-Based, Greedy, and Local Search Approach forthe Transshipment Problem..- Re-examining learning linear functions in context..- ODExAI: A Comprehensive Object Detection Explainable AI Evaluation..- Enhancing Semi-Supervised Learning with a Meta-Feature BasedSafeguard System..- Ca¨issa AI: A Neuro-Symbolic Chess Agent for Explainable MoveSuggestion and Grounded Commentary..- Unsupervised Selection of Features by their Resilience to the Curse ofDimensionality..- Development of Hybrid Artificial Intelligence Training on Real andSynthetic Data..- Towards Systematic Evaluation of Computer Vision Models under DataAnonymization..- Accessible Language Simplification: Large Language Models forGenerating Easy German..- Technical Communications..- Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance..- Deep learning emulators for large-scale, high-resolution urban pluvialflood prediction..- Towards Observing the Effect of Abstraction on Understandability ofExplanations in Answer Set Programming..- XAIRob — An Explainable-AI-Based Relative Robustness Measure forObject Detection..- LLMs for Easy Language Translation: A Case Study on German PublicAuthorities Web Pages..- Re-Evaluating the Robustness and Interpretability of the ContrastiveExplanations Method for Image Classification..- Visualizing and Interpreting Neural Network Focus Regions: AComparative Study of Vision Transformers on Synthetic and Real Data..- Comparing the visual quality of deep generative models for steelmicrostructures..- Extended Abstracts..- Makrut Attacks Against Black-Box Explanations..- Positional Overload: Positional Debiasing and Context WindowExtension for Large Language Models using Set Encoding..- Exploiting Contexts of LLM-based Code-Completion..- The origins of AI research in the Federal Republic of Germany..- Probabilities of the Third Type: Statistical Relational Learning andReasoning with Relative Frequencies.
£59.99
Springer AI for Medical Image Analysis
Book SynopsisPreface.- Chapter 1 Introduction to AI in Medical Image Analysis.- Chapter 2 Fundamentals of medical image analysis.- Chapter 3 The Role of AI in Enhancing Imaging Modalities.- Chapter 4 Machine Learning for Image Processing in Healthcare.- Chapter 5 Deep Learning Revolution in Medical Image analysis.- Chapter 6 Harnessing Diffusion Models for Advanced Medical Image Analysis.- Chapter 7 AI-Enhanced Tumor Detection and Segmentation.- Chapter 8 Personalized Medicine Through AI-Driven Imaging.- Chapter 9 AI-Driven Medical Image Analysis: Challenges and Limitations.- Chapter 10 Future Directions for AI in Medical Image Analysis.- Chapter 11 Ethical and Regulatory Considerations in AI-Based Imaging.- Chapter 12 AI in Medical Image Analysis: Societal Impact and Inclusivity.- Chapter 13 Conclusion: Seeing Beyond—AI's Promising Future in Medical Image Analysis.
£132.99
Springer Proceedings of Data Analytics and Management
Book SynopsisAI-Powered Workforce Optimization: A Robust Model for Managing Complex Supply Chain Dynamics in MNC Companies.- Advancements in Agriculture Disease Detection: Employing Federated Learning for Plant Leaves.- Enhancing Botnet Detection through Deep Learning and Representation Learning.- Secure Blockchain Node Certification and PBFT Con-sensus for Fog Computing.- A Heap-based Automated ICU Bed Allocation Optimization Mechanism for Prioritizing Medical Care.- Evaluating the Practicality of Language Models on Edge devices for Sensor Data Analysis: A Sensible Approach?.- Oil Spill Detection in Heterogeneous Environments Using YOLOv9 with Aerial Imagery.- Oil Spill Detection in Heterogeneous Environments Using YOLOv9 with Aerial Imagery.- House of Mirrors: A survey on Hallucination Detection and Mitigation via Decoding Techniques in Language Models..- House of Mirrors: A survey on Hallucination Detection and Mitigation via Decoding Techniques in Language Models.
£208.99
Springer Conceptual Knowledge Structures
Book Synopsis.- Methodology..- Conceptual Topic Aggregation..- The Geometric Structure of Topic Models.- Relational Concept Analysis and Graph-FCA in Practice: Analyzing Multirelational Data..- Reduced Subcontext Completion in Lattices and Concept Lattices..- Limitations of attribute derivations for approximating user-based attribute weighting..- Moregraph: Metadata-driven Enterprise Architecture using Conceptual Structures..- LLM-Assisted Concept Analysis for Class Model Restructuring..- Empowering Relational Concept Analysis using Large Language Model knowledge delivery..- Patterns, Clusters, Visualization and Software..- Towards Explainable Clustering in Process Mining and Sequential Pattern Mining: A Formal Framework..- A Proposal for Building a Compact and Tunable Representation of a Concept Lattice Based on Clustering..- Atomic Patterns for Efficient Computation with Pattern Structures..- Layout Decisions for Tabular Euler Diagrams..- Spanning Concept Trees: Enhanced Algorithm and Visualisation..- Closure versus Dualization: A Comparison of Software Tools for Formal Concept Analysis..- Data Analysis..- Comparative analysis of COVID-19 vaccines applied in Mexico through FCA..- Metatheoretic Structuralism Meets Formal Concept Analysis..- Qualitative and Quantitative Analyses of C. elegans’ Perception with Concept Lattices as Information Channels..- Image processing in Boolean matrix factorization..- On distance functions between closure systems and their application in industrial maps..- Theory..- When Horn is All You Need..- Rational Inference in Formal Concept Analysis..- Incomplete Formal Contexts and their Intrinsic Dimension..- The E-base of finite semidistributive lattices..- A Data Model for Relational Concept Algebras..- Rises for Measuring Local Distributivity in Lattices..- A Stone duality for pure and trivial double Boolean algebras..- Concept multilattices with truth-stressing hedges.
£104.49
£189.99
Springer Proceedings of Data Analytics and Management
Book SynopsisMitigating Social Engineering Attacks Through AI and Behavioral Analytics in Human-Centric Cybersecurity.- Evaluating the Effectiveness of Generative Adversarial Networks (GANs) in Creating Synthetic Datasets for Healthcare Applications.- Comprehensive Approach to Vietnamese Scene Text Recognition: Challenges, Models and Framework Development.- Trusted Federated Learning: A Sustainable Framework for Edge Intelligence in Healthcare Applications.- Optimizing Sentiment Classification of Product Reviews with NLP and Machine Learning.- Delay-Optimized Approximate Realization Technique for Chaotic Systems (DART).- Rationality in Changing Online Purchase Decisions: The impact of Robotic process Automation Among Youngsters.- Improving Industrial Control System Security: A Data Balanced Machine Learning Approach.- MLMCID: Machine Learning for Multi-Class Intrusion Detection Using the CIC-loT-2023 Dataset.- Study of Driver Behaviour Due to Diverted Attention Using Vienna Testing System.
£208.99
Springer Prompting Causal Events
Book SynopsisDedication.- Preface.- Acknowledgments.- 1. A Technical Introduction to Prompting.- 2. The Language of Causality.- 3. Goal-Oriented Prompting.- 4. Role-Based Prompting.- 5. Structure-Based Prompting.- 6. Tool- and Function-Based Prompting.-7. Memory and Contextual Prompting.- 8. Reasoning-Based Prompting.- Chapter 9. Self-Improving Prompting.- 10. Evaluation-Based Prompting.- 11. Workflow Prompting.- Chapter 12. Creative Prompting.- 13. Ethical Prompting.- 14. Causal Prompting in Practice.- 15. Conclusion: The Art and Theory of Prompting.- Appendix 1. Prompting Techniques Taxonomy.-Appendix 2. Comparative Atlas of Prompting Techniques by Causal Function.- Appendix 3. Glossary.- Appendix 4: The Causal Prompt Canvas.
£39.99
Springer Artificial Intelligence and Soft Computing
Book Synopsis.- Computer Vision, Image and Speech Analysis..- An Autonomous Weeding Robot with Novel Unsupervised DomainAdaptation..- Swin-Editor: Enhancing Consistency in Text-Driven Video Editing..- A Study on Highly Efficient Compact Transformer Features forHistopathological Image Recognition..- Invariant Pattern Recognition with Selectively Denoising andRidgelet-Fourier Features..- Accessibility of Graphical User Interfaces for Autistic People..- Is It Large Enough? A Prompt Learning for Large Multi-Modal Models..- Neural Network-Based Verification of Document Authenticity via PaperStructure and Scan Analysis..- Fuzzy attention module for CNNs in the application of space analysis..- Dataset Augmentation for Detecting Small Objects in Fisheye RoadImages..- Attention U-Net Image Deblurring via Hybrid Loss Optimization..- A Predictive Model for Mean Opinion Score in Text-to-Image QualityAssessment..- Vision Transformer Representations for Efficient Content-Based ImageRetrieval..- Intensification of Dermatological Asymmetry Measure of Skin Lesionsusing PCA..- The role of text and vision modalities in solving Bongard Problemswith VLMs..- Leveraging Vision in Transformers model for Point Cloud PatternMatching..- One Shot, Few Perspectives: Ensemble Learning for Image Segmentation..- Comparison of the effectiveness of optical flow methods in determiningthe velocity of a UAV..- Fine-tuned Data Augmentation Techniques for Digit Recognition in AIoT..- Segmented Medical Image Classification with Deep ConvolutionalNeural Networks Architectures for WBC Detection..- Data Mining..- Deterministic and Nondeterministic Decision Trees for Decision RuleSystems from Closed Classes..- Some Regularized Tools for Dimensionality Reduction..- New approach to instance selection leveraging clustering andneighboring strategies..- Bottleneck Analysis in Software Development: A Case Study UsingProcess Mining..- Pattern Classification..- Channel Attention for Fusarium Head Blight Detection in HyperspectralImages..- Invariant Aircraft Recognition with Fourier and Dual-tree ComplexWavelet Features..- Combining classifiers for texture classification..- Elliptic Separator: A Geometric Approach to Linear Classification..- Artificial Intelligence in Modeling and Simulation..- Entropic metrics in feature selection for neural network-based dataerror detection in CMDB..- UAV Forensics: Transformer-Based Identification of Mobile Devices forDrone Piloting..- Predictive Monitoring of Workforce Dynamics via Neural Networks.
£66.49
Springer Artificial Intelligence and Soft Computing
Book Synopsis.- Various Problems of Artificial Intelligence..- Evaluating Scalability in Open-Set Face Recognition Systems..- Magic Numbers: Algorithm for Mitigating Hallucinations in LLMs..- Lightweight Anomaly Detection for IoT: Evaluating Machine Learningand Deep Learning Models on CICIDS2017..- A survey on algorithms used for drone energy consumption modelling..- Extension to LIBLINEAR’s Logistic Regression Supporting Elastic-NetPenalty..- LoRa Device Identification: A Lightweight Alternative to CNN-BasedMethods..- Enhanced Graph Deviation Networks for Anomaly Detection in SpaceTelemetry..- Hybrid Retrieval in RAG: A Comparison of Semantic, Lexical andReranking Methods..- Analysis of Data and Supervised Machine Learning Algorithms forIntrusion Detection..- AI-Driven Tourist Destination Recommendation Systems: A NeuralNetwork Approach..- Privacy-Preserving Inference for Public Neural Networks..- Use of graph-based knowledge organization to improve the results ofRetrieval Augmented Generation for narrative texts..- Using frequent subgraph mining in flat layout quality classification..- Adaptive Interactive Process Drift Detection: Detecting and visualizingprocess drifts..- Agent Systems, Robotics and Control..- Distributed Variational Autoencoder Using Actor-Based Architecture..- A Comprehensive Framework for Turn-Taking Evaluation inMulti-Agent Systems: Rotational Periodicity for Scalable CoordinationAnalysis..- Application of Adaptive PSO Algorithm in Design of FIR Filters..- Bioinformatics, Biometrics and Medical Applications..- Novel Method for ICG Data Augmentation By Using Noise-BasedApproach..- A Statistical Reconstruction Algorithm for CT with a Flying FocalSpot Using Direct, Interpolation-Free Projections..- Optimizing OpenMax Parameters for Open-Set Face Recognition..- Taxonomic Classification of Spiders (Araneae) Based on Image TextureAnalysis Using Multifiltering..- A Hybrid Handcrafted and Deep Transfer Learning-Based Frameworkfor COVID-19 Detection Using Voice Analysis..- A modified method for an iterative reconstruction algorithm utilizing aback-projection correlation approach in multi-focus low-dose tomography..- Emotions and App-supported Artificial Intelligence as a Helpful Toolin Psychiatry..- Dermoscopy-specific XAI for melanoma recognition..- Analysis of Respiratory Sinus Arrhythmia with Neural Networks..- A method for verifying dynamic signatures based on signature regions..- Concurrent Parallel Processing..- Efficiently Parallelized Associative Inference of Associative Graph DataNeural Networks.
£49.99
Springer Proceedings of Data Analytics and Management
Book SynopsisData-Driven Agriculture Using LSTM and PCA: Enhancing Crop Yield with Ensemble and Bayesian Learning Techniques.- Enhancing Precision in Gestational Diabetes Mellitus: A Technical Review of Predictive Models, Challenges, and Future Directions.- AI-Powered Cloud Automation: Reducing Latency in Distributed Systems.- Predicting Mental Health Disorders with Variational Autoencoders.- Could Logarithmic Transformation Spot the Cancer in Leukaemia Microarray Dataset? - A Study Technological Trend in Quadcopter: Analysis and Application.- Real vs Synthetic Face Detection using AI and rPPG Technology.- Comparative Analysis of LSTM, Transformer- based LSTM and Transformer-based GRU for Stock Price Pre-diction: An Implementation in Vietnam Market.- Decoding Breast Cancer Prognosis: An AI-Driven Analytical Approach to Genetic Markers and Prediction Metrics.- The Convergence of AI, IoT, and Agricultural Sensors for Sustainable Agricultural Practices.
£208.99
Springer Machine Learning and Clustering for a Sustainable Future
Book SynopsisChapter 1. Artificial Intelligence, Machine Learning, and Clustering in Sustainability.- Chapter 2. Fundamentals of Clustering: Methods, Metrics, and Optimization.- Chapter 3. Programming for Clustering: Python, R, MATLAB, and Anaconda Libraries.- Chapter 4. Clustering Applications in Process Systems Engineering.- Chapter 5. Greenhouse Gas Emissions Clustering for Net Zero Goals.- Chapter 7. The Energy-Food Nexus: Geopolitical and Health Crises Analysis.- Chapter 8: Clustering Urban Zones: A Study of Gentrification.- Chapter 10: Spatiotemporal Clustering of Dam Filling Patterns.
£151.99
Springer The Convergence of Federated Learning and Healthcare 5.0 and Beyond A New Era of Intelligent Health Systems
Book SynopsisUnderstanding Healthcare 5.0 and Emerging Technologies.- Fundamentals of Federated Learning: Principles and Applications.- Data Privacy Challenges in Artificial Intelligence-Driven Healthcare.- Regulatory Frameworks: HIPAA, GDPR, and Compliance in Federated Learning.- Real Time Patient Monitoring and IOMT Applications.- Integration of Blockchain Technology for Ensuring Trust and Security in the Digital Health Market: A Comprehensive Review.- The Convergence of Federated Learning for the Digital Healthcare Market: An Overview.- Differential Privacy and Homomorphic Encryption in Healthcare Artificial Intelligence.- Analysis of Consumer Emotions Impacted By COVID-19.- Guiding The Development of AI In Healthcare Through Ethical Considerations and Effective Governance.- Intelligent Workforce Management in Healthcare 5.0: Redefining HR Through Federated Learning.- The Legal Labyrinth of Smart Wearable Medical Devices: A Literary Overview.- From Traditional to Intelligent: Transforming Global Health Care through Innovation.- Ethical Considerations of Emotion AI used in the Synthetic Media Generations and Applications.- Machine Learning-Based Prediction of Gene-Disease Associations for Reliable Evidence.- Addressing Computational Overhead in Federated Learning Models in Healthcare 5.0 and Beyond.- Robustness Against Adversarial Attacks and Model Security in Healthcare 5.0 and Beyond.-Scalable Model Aggregation and Interoperability Solutions in Healthcare Systems.- Federated Learning for Decentralized Healthcare: Privacy, Efficiency, and Scalability in Healthcare 5.0.- Federated Learning Architectures: Centralized Vs. Decentralized Models In Human Resource(HR).- A Two-staged Optimized Stacking Ensemble learning Classifier for the Prediction of Cervical Cancer.- AI-Assisted Histopathological Image Analysis for Automated Gastric Cancer Detection.- Robotics and AI-Powered Surgical Interventions in Gastric Cancer: Enhancing Precision and Efficacy of Oncologic Treatment24. Electronic Health Records using Blockchain.- Centralized vs. Decentralized Federated Learning Architectures: Design Trade-offs, Security, and Performance in Healthcare 5.0 Applications.- Navigating Healthcare 5.0: How Emerging Technologies Are Transforming Care Delivery and Medical Innovation.- Identification of Stress in IT Professionals Using Convolutional Neural Network.- Federated Learning for Precision Medicine: A Blockchain Enhanced Framework for Privacy Preserving Predictive Analytics in Healthcare 5.0.- Machine Learning Advancements for Diabetes Prediction with LightGBM.- Blockchain Integration for Enhanced Trust and Security in Federated Learning for Healthcare 5.0.- Ontology-Based Data Harmonization and Federated Transfer Learning: Enabling Scalable and Interoperable Intelligence in Healthcare 5.0 for Next-Generation Healthcare.- Future Trends in Federated Learning for Next-Generation Healthcare.- Advancing Federated Learning in Healthcare 5.0.- A Futuristic Pathway in Healthcare.- Federated Learning in Healthcare Finance: A Systematic Review of Privacy-Preserving Models.- AI-Induced Digital Addiction: Its Impact on Human Relationships within Healthcare 5.0 Ecosystems.- Real-Time Detection of Latent Infections Using LSTM and IoMT-Based Health Monitoring.- Federated Learning and Healthcare 5.0: Paving the Road Ahead for Privacy-Preserving Smart Health Systems.- Neuro-Symbolic Federated Learning Models for Diagnostic Intelligence in Healthcare 5.0.- Reducing Computational Overhead in Federated Learning: A Comprehensive Analysis.- Future Trends in Federated Learning: Enabling Secure and Personalized Healthcare Solutions.
£170.99
Springer-Verlag GmbH 12th EAI International Conference on Advancements of Science and Technology
£217.79
Springer-Verlag GmbH Science Engineering Management and Information Technology
Book Synopsis.- Sustainable & Circular Decision-Making.. Eco-Friendly Hospitality in the Digital Era: Trends, Technologies, and Transformations..- Management tools for developing competitive advantages in farming..- Assessing Climate and Economic Risks to Food Security in Europe: A Multiscenario and Lag-Based Modelling Approach..- Strategic Mechanisms for Managing Sustainable Development Hospitality Industry in Ukraine..- Integrating digital technologies into the design of ejection carbonization systems to reduce greenhouse emissions..- The Strategic Role of Information Systems in Modern Business: Empowering Decision-Making and Sustaining Competitive Advantage..- Harnessing Information Systems for Sustainable Enterprise Development: A Systematic Literature Network Analysis..- A framework for blockchain-enabled sustainable supply chain..- Computational Intelligence and Data Privacy in Healthcare, IT, and Public Services..- IT technologies in translation as an important component of Ukraine's interaction with partners in the global food market..- Optimizing Non-Emergency Patient Transport with Variable Neighborhood Search: A Real-World Case Study.. Enhancing Data Security and Privacy Using Federated Learning: A Scalable Framework for Distributed Systems..- Human Papillomavirus Detection using Novel Machine Learning Algorithm Based on Cytology Images..- XAI-Augmented Decision Support Systems for Complex, Multi-Criteria Problems in Uncertain Healthcare Environments.
£72.22
Springer-Verlag GmbH The Power of Complex Systems
£173.33
Springer-Verlag GmbH Perspectives in Business Informatics Research
£73.25
Palgrave Macmillan Cognitive Diplomacy and Digital Autonomy
Book SynopsisChapter 1: The Evolution of Diplomacy.- Chapter 2: The Neuro Aspect.- Chapter 3: Cyber Diplomacy and State Presence.- Chapter 4: Decision-Making in the Digital Era.- Chapter 5: Anomaly Detection and Cyber Security.- Chapter 6: International Relations in the Digital Age.- Chapter 7: Building a Neurodiplomatic Framework.- Chapter 8: Challenges and Ethical Considerations.- Chapter 9: Future of Neurodiplomatic Presence.- Conclusion.
£151.99
Springer Artificial Neural Networks and Machine Learning ICANN 2025
Book Synopsis.- HARNet: Human Activity Recognition with Spatial-temporal Features..- Wavelet-based Self-image Blending for More General Face Forgery Detection..- HCNQA: Enhancing 3D Visual Question-Answering with Hierarchical Concentration Narrowing Supervision..- Text-Image Encoder-based Contrastive Regression for AI-Generated Image Quality Assessment..- Deblurring with Improved Video Diffusion Model..- Understanding Image Classification Prediction with Any Segment Explanation..- F2Unet: F-shaped U-Net Architecture for Medical Image Segmentation Combining Fourier Transforms..- Efficient Real-Time On-Mobile Video Super-Resolution with Automatic Evolutionary Neural Architecture Search..- Swin-DAG-VNet for Fetal Head Segmentation and Elliptical Parameter Regression for Circumference Measurement..- GPIS: Geometric Informed Polygon Prompt for Incision Segmentation..- Topological Enhancement Learning Module for Segmentation of Complex and Irregular Structures in 3D Medical Imaging..- Multi-Representation Adapter with Neural Architecture Search forEfficient Range-Doppler Radar Object Detection..- LPSF-LiDARNet: Log-Polar Spatiotemporal Fusion-Based LiDAR Point Cloud Semantic Segmentation for Autonomous Driving..- PSRDET: Fast Multimodal Detecton based on Prior Scene Repair for All-weather Road Sensing..- Art Style Backdoor Attacks on Semantic Segmentation Models..- CLIP-Guided Frequency-Aware Representation Learning for Generalizable Remote-Sensing Image Tampering Detection..- Generalized Object Detection in the Infrared Domain based on Common-Representation Learning..- Balance Discriminability and Integrality for Robust Salient Object Detection..- Unsupervised Domain Adaptive Hand Mesh Reconstruction of 2D Images in the Wild..- Towards Context-Aware Compositional Zero-Shot Food Recognition via SalientFusion..- SparWR: A Lightweight Architecture for Medical Grayscale Image Super-Resolution..- PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification..- Sparse Attention Diffusion Model for Pathological Micrograph Deblurring..- RDIF: Infrared and Visible Image Fusion Based on Reverse Cross-Attention and Diffusion Model..- RDGE-6D: Reverse Direction Geometry Injection for 6D Pose Estimation..- YOLO11n BSS: Examination Room Behaviors Detection Based on Improved YOLO11n Model..- Efficient Long-Term Motion Feature Learning via Frequency-Based Key Frame Guidance for Action Recognition..- Region Expansion: Optimization of Patch-fetching Method for Point Cloud Denoising..- SAMTNU: Adaptive Segment Anything Model for Thyroid and Nodule Ultrasound Image Segmentation..- AgileIR: Memory-Efficient Group Shifted Windows Attention for Lightweight Image Restoration..- Constrained Learnable Channel-wise Normalization for Single-Source Domain Generalization in Medical Image Segmentation..- FaceSnap: Enhanced ID-fidelity Network for Tuning-free Portrait Customization..- Improving the Transferability of Point Cloud Attack via Spectral-aware Admix and Optimization Designs..- IHCP:Image Hiding against Blind Compression Based on Quality Prediction..- VideoPCDNet: Video Parsing and Prediction with Phase Correlation Networks..- Uncertainty Quantification in Video Distortion Classification under Dataset Shift..- PIMSeg: Point Cloud Segmentation via 2D Image Mapping and Multimodal Feature Integration..- Prototype-Guided Local Spatial Attention for Model Explanation..- Robustness Verification for Object Detectors using Set-Based Reachability Analysis..- Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation..- PaFi-GS: Gaussian Splatting via Propagation-Aware Filtering for Urban Street View Rendering..- Vision-Text Interaction with Orientation-Awareness for Referring Remote Sensing Image Segmentation..- U-FQA: A Unified Face Quality Assessment Score for Improved Unknown Identity Detection in Facial Recognition Systems..- DFU-Net: A Diffusion-based Fourier Neural Operator-aided U-Net Model for Medical Image Segmentation in Edge Devices..- An Enhanced Dual-Stream Architecture for State-of-the-Art Artist and Style Classification..- A Scene Text Detection Method Based on Supervised Contrastive Learning..- CM-MNet: A Coordinate Space-Aware Mamba-Based Multi-Task Model for 3D Fine Lesions in Elongated Structures Segmentation and Diagnosis in MS and NMOSD..- Problem-Driven and Shape-Guided: Multi-scale Deform KAN for X-shaped Anterior Visual Pathway Segmentation..- A Camouflaged Object Detection Network with Global Cross-space Perception and Flexible Local Feature Refinement Network..- See Beyond: Benchmarking MLLMs’ Visual Relational Reasoning Ability..- HeteroCap: Hierarchical Visual-Semantic Fusion with Heterogeneous Graphs for Image Captioning..- Dual-Head Feature Enhancement for Graph-Based Cross-View Multi-Object Tracking..- Semantic Enhanced Interaction for Unsupervised Cross-modal Hashing Retrieval.
£64.99
Springer Artificial Neural Networks and Machine Learning ICANN 2025
Book Synopsis.- ACGCN: A Sequence-Attention-Based Graph Convolutional Model for Enhanced Recommendation Systems..- Hyperparameter-Free Bi-Level Knowledge Graph Optimization for Link Prediction..- SWIFT: State-space Wavelet Integrated Forecasting Technology for Enhanced Time Series Prediction..- Federated Privacy-Preserving for Cross-Domain Sequential Recommendation..- An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models..- Multimodal Sentiment Analysis with Parallel Attention and Correlation Fusion..- A Hybrid Learning Approach for Continual Knowledge Graph Embedding: Contrastive Masking and Joint Anti-Forgetting..- Leveraging Machine-Translated Data for Sentiment Analysis in Low-Resource Languages: A Case Study on Bengal..- RRetFC: Leveraging Recursive Retrieval For LLM-Enhanced Complex Fact-Checking..- Feature-Aware Sequence Models for Tabular Data Processing with Missing Values..- Topic-Driven Hyper-Relational Knowledge Graphs with Adaptive Reconstruction for Multi-Hop Question Answering Using LLMs..- Toward Better Document-Level Relation Extraction: De-Sampling and Mixture of Experts in Action..- ConSens: Assessing context grounding in open-book question answering..- ChiMDQA: Towards Comprehensive Chinese Document QA with Fine-grained Evaluation..- Emotional Text-to-Speech via Style Decoder with Emotion Shared Styleformer Block and RoPE Prior Encoder..- Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study..- Early Acoustic and Vision Cross-modal Interation Learning for Multimal Sentiment Analysis..- Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions..- Sustainable techniques to improve Data Quality for training image-based explanatory models for Recommender Systems..- TimeFlowDiffuser: A Hierarchical Diffusion Framework with Adaptive Context Sampling for Multi-Horizon Time Series Forecasting..- ConDTab: Conditional Diffusion Transformer for Mixed-Type Tabular Synthesis with Dual Attention Latent Encoding..- SentiAug: Adaptive Keywords Replacement and Confidence-guided Self-training Selection for Robust Sentiment Classification..- Real-time and personalized product recommendations for large e-commerce platforms..- A Two-Stage Framework Integrating Prompt Learning and Fine-tuning for Code Summarization..- DialGACL: Nonlinear Graph Attention Reasoning with Contrastive Learning for Complex Dialogue Fact Verification..- TimbreAdv: Timbre Adversarial Attacks on Speaker Verification Systems..- Time Series Generation for Augmenting Multi-Channel Automotive Audio Data..- PGD: Probe Guided Decoding for Alignment.
£64.99
Springer Artificial Neural Networks and Machine Learning ICANN 2025
Book Synopsis.- Epilepsy Prediction based on Intra- and Inter-Channel Feature Mixing..- Fine-grained Recognition of Arteriovenous Fistula Stenosis Using Blood Flow Sounds: An Animal Model-Based Dataset and a Frequency-Aware Decoupling Network..- SMART-RetroNet: A Framework for Chemical Retrosynthesis Prediction..- Few-shot Learning for Syndrome Differentiation with Two Prompts..- Neural QSLIM for Mesh Autoencoders..- Evolving Spatially Embedded Recurrent Spiking Neural Networks for Control Tasks..- Amortizing Personnalization in Virtual Brain Twins..- MPCCP:A Multi-chain Perception Crime Charge Prediction Method..- Beran Estimator Kernel Learning using Nearest-Neighbours and its Application to Reliability Analysis..- Conformalized Causal Learning for Uncertainty-Aware MineralProspectivity Mapping..- PhysMamba: Synergistic State Space Duality Model for Remote Physiological Measurement..- Proactive Depot Discovery: A Generative DRL Framework for Adaptive Location-Routing..- Learning Joint General and Specific Representation with Masked Auto-encoder for Radiology Report Generation..- Process Adaptive Learning for Visual-Language Navigation..- Audio-Driven Talking Head Generation with Emotion Based on FLAME Geometry Model..- Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals..- NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction..- CSM: Corn Instance Segmentation Model Fusing Dilated Residual Networks and Low-Rank Adaptation..- Sensor-Enhanced PINNs for Contaminant Dispersion Modeling..- Uniform Representation of Parametric CAD Models for Generative Application..- Surrogate-Assisted Multi-Objective Design of Complex Multibody Systems..- KANLoc: WiFi Localization with A Lightweight KAN..- DualGF: Example-based Path Planning via Dual Gradient Fields..- Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions..- A Spiking Central Pattern Generator Capable of Adaptive Gait Control in Quadruped Locomotion..- ViSMoE: Visual-Aware Sparse Mixture-of-Experts for Embodied Referring Expression Grounding..- FDFRL: Credit Card Fraud Detection Based on Federated Reinforcement Learning..- MENGLAN:Multiscale Enhanced Nonparametric Gas Analyzer with Lightweight Architecture and Networks..- Targeted trust-based merging of customers’ opinions..- DA-NeRF: High-Fidelity Talking Face Generation From Speech With Neural Radiance Fields..- Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-realistic Rendering..- Accurate SDF Reconstruction with Geometric-Differential Regularization and Categorized Sampling Strategy..- Optimized Supervised Control of Stochastic Timed Discrete Event Systems using Supervisory Control Theory and Reinforcement learning..- A Classification Algorithm for Bronchiolitis Obliterans in Pediatric CT Images with Extreme Class Imbalance..- DISEncoder:A Dual-Branch Query Encoder Using Graph Models for Distributed Databases..- A Subject-Independent Stress Detection Model Based on Temporal Feature Disentanglement.
£64.99
Springer Artificial Neural Networks and Machine Learning ICANN 2025
Book Synopsis.- MRT-NAS: Boosting Training-free NAS via Manifold Regularization..- MSfusion: A Dynamic Model Splitting Approach for Resource Constrained Machines to Collaboratively Train Larger Models..- DeepCTL: Neural Branching-Time CTL Satisfiability Checking via Recursive Decision Trees..- MFMamba: A Hierarchical Weakly Causal Mamba with Multi-Scale Feature Fusion for Vision Tasks..- Characterizing trainability, expressivity and generalization of neural architecture with metrics from neural tangent kernel..- Unrolled Neural Adaptive Alternating Gradient Descent for NMF..- FedTP: Traceable Passport-based Ownership Verification for Federated Deep Neural Network Models..- Learning to Optimize Entropy in the Soft Actor-Critic..- Parallelizing Sharpness-Aware Minimization: A Semi-Asynchronous Small-Batch Approach..- Small transformer architectures for task switching..- Stochastic Covariance Regularization for Imbalanced Datasets..- Efficient Learning in Spiking Neural Networks - Introducing Feedback Alignment to the Reinforced Liquid State Machine..- Object-Centric Dreamer..- How Inductive Biases Affect OOD Generalization: An Investigation in Formal Language Recognition with Autoregressive Models..- Brain Generative Replay for Continual Learning..- Dynamic Ensembles Towards Out-Of-Distribution Generalization of Affect Models..- D2R: Dual Regularization Loss with Collaborative Adversarial Generation for Model Robustness..- The Power of Max Pooling Layer..- Firing rates and representational error in efficient spiking networks are bounded by design..- CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization..- Cascade Pre-Attention: Regulating Neuronal Activation Distributions in MetaFormer-Based Spiking Neural Networks..- MTL-SIMNAS: Task Similarity-Driven Neural Architecture Search for Enhanced Multi-Task Learning..- Towards Better Graph Anomaly Detection: A Performance-Aware Neural Architecture Search Approach..- Improving Stability of Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning..- The Explainability-Performance Coefficient: A New Metric for Model Transparency..- GLFMamba-U: Global-Local Fused Mamba-Unet..- Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data..- Evaluating the Impact of Data Curation on Off-Policy Reinforcement Learning..- Enhancing Graph Neural Networks with Mixup-Based Knowledge Distillation..- A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers..- FedP2PAvg: A Peer-to-Peer Collaborative Framework for Federated Learning in Non-IID Scenarios..- Correcting the Modified Stochastic Synaptic Model of Synaptic Dynamics - Refinement of Vesicle and Neurotransmitters Functions..- Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient..- Efficient ReliefF: A low-power optimization of ReliefF for resource-constrained devices..- Enhancing Adversarial Robustness through Multi-Objective Representation Learning..- Trustworthy Learning with Noisy Labels..- Effect of Neuromodulation on the Brain Dynamical Repertoire..- Classification of large data sets by neural networks: A probabilistic viewpoint..- Identification and Realization of a Class of Discrete Event Systems by Neural Networks -Timed Petri Nets..- Dopamine-modulated Learning and Decision-making with Neuromorphic Computing..- A Unified Platform to Evaluate STDP Learning Rule and Synapse Model using Pattern Recognition in a Spiking Neural Network..- XOOD: A Self-Supervised Algorithm for Detecting Out-of-Distribution Data for Image Classification..- Perpetual Generation: Online Learning of Linear State-Space Models from a Single Stream..- Accelerating Spatiotemporal Learning with minConvRNNs..- Full Integer Arithmetic Online Training for Spiking Neural Networks..- Regularised Loss Function for Goal Recognition as a Deep Learning Task..- Improving Consistency Distillation with Rectified Trajectories..- Merging versus Separating Replay Samples in Continual Learning..- Signal-to-noise difference as a correlate of class learning in neural networks..- Catastrophic Forgetting Mitigation via Discrepancy-Weighted Experience Replay..- Supervised feature selection with class self-representation..- Complexity and Criticality in Neuro-Inspired Reservoirs..- A Fokker-Planck Perspective on the Flow of Information in Continuous Memory Neural Networks.
£64.99
£189.99
Springer Logics in Artificial Intelligence
Book Synopsis.- Special Track: Logics for Explainable and Trustworthy AI..- A Uniform Language for Safety, Robustness and Explainability..- Reinforcement Learning Meets Logic Programming: Towards Explainable AI..- Formal Explanations of Black-Box Ranking Functions..- Why This and not That? A Logic-based Framework for Contrastive Explanations..- Argumentation..- On the Sensitivity of Extension Semantics to Similarity..- SCC-recursiveness in Infinite Argumentation..- Completing Structured Arguments in Assumption-based Argumentation..- Constraint Satisfaction and Optimization..- Engineering and Evaluating Multi-objective Pseudo-Boolean Optimizers..- Unsupervised Automata Learning via Discrete Optimization..- Finding Short Tree-like Unit Refutations in UTVPI Constraint Systems..- Deontic Reasoning..- GL-based Calculi for PCL and its Deontic Cousin..- deon-B: A Language for Well-Founded Deontic Planning..- Dual Scale Detachment..- Description Logics and Ontological Reasoning..- Towards Practicable Defeasible Reasoning for ABoxes..- Closure-Based Tractable Possibilistic Inference from Partially Ordered DL-Lite Ontologies..- Higher-order and Non-classical Logics..- Strongly First Order Disjunctive Embedded Dependencies in Team Semantics..- A Kripke Semantics for Intuitionistic Lukasiewicz Logic with Weak Excluded Middle..- From Modal Ockham Algebras to Modal Berman Variety: Relational Semantics and Kripke-Completeness..- Logic Programming and Answer Set Programming..- Lazy Atom Discovery in Compilation-Based ASP Solving..- Encoding Action Reversibility In Planning Using Quantified ASP and Bule..- DIRT: a Literature-based Benchmark Suite for Grounders..- An Experiment with Anthem: Semantic Equivalence of Tiling Programs..- Generalizing the Syntax of Terms in Mini-gringo.
£59.99
Springer Logics in Artificial Intelligence
Book Synopsis.- Non-monotonic Reasoning and Belief Change..- Comparing Dialectical Systems: Contradiction and Counterexample in Iterated Belief Revision..- The InfOCF Library for Reasoning with Conditional Belief Bases..- Lockean Beliefs that are Deductively Closed and Minimal Change..- Extending Defeasibility for Propositional Standpoint Logics..- Axiomatics of Restricted Choices by Linear Orders of Sets with Minimum as Fallback..- Propositional Reasoning, QBF, and Satisfiability Problems..- AxSAT - Bringing Axioms to SAT Planning..- On Extracting Legal Arguments..- Inclusion with Repetitions and Boolean Constants – Implication Problems Revisited..- Enhancing Query Efficiency for d-DNNF Representations Through Preprocessing..- Explanations of Unsatisfiability Beyond Minimal Subsets..- Refined Notions of QBF Equivalences..- Refinement-Based Enumeration of QBF Solutions..- Interpolating Parametric Array Theories..- Maximum Satisfiability Formulations for Nonlinear Integer Programming..- Exact Approaches for the Diverse Satisfiability Problem..- Temporal Reasoning..- A Framework for Computing Upper Bounds in Passive Learning Settings..- On Temporal References via Definite Descriptions in First-Order Monadic Logic of Order..- Alternating-Time Temporal Logic with Default Actions..- Theorem Proving..- Deciding Non-Fregean Identities: A Dual Tableau Approach..- Exposure and Hiding: Approaching the Objective Probability and Hiding the Secret in Zero-Knowledge Proof..- On a Second-Order Version of Russellian Theory of Definite Descriptions.
£59.99
£170.99