Artificial intelligence (AI) Books

Book SynopsisThis book constitutes the refereed proceedings of the XXIInd International Conference on AIxIA 2023 – Advances in Artificial Intelligence, AIxIA 2023, held in Rome, Italy, during November 6–10, 2023.The 33 full papers included in this book were carefully reviewed and selected from 53 submissions. They were organized in topical sections as follows: Argumentation and Logic Programming, Natural Language Processing, Machine Learning, Hybrid AI and Applications of AI.Table of Contents​Argumentation and Logic Programming.- ABALearn: An automated logic-based learning system for ABA frameworks.- Deriving Dependency Graphs from Abstract Argumentation Frameworks.- ReConf: An Automatic Context-based Software Reconfiguration Tool for Autonomous Vehicles using Answer-Set Programming.- Mining contrast sequential patterns with ASP.- Ontologies.- An ontological modelling of reason-based preferences.- A Defeasible Description Logic for Abduction.- Ontology-based Data Management in Healthcare: The Case of the Italian Arthroplasty Registry.- Planning.- A Structure-Sensitive Translation from Hybrid to Numeric Planning.- Intrinsically Motivated High-Level Planning for Agent Exploration.- Natural Language Processing.- Mining Argument Components in Essays at Different Levels.- Unraveling ChatGPT: A Critical Analysis of AI-Generated Goal-Oriented Dialogues and Annotations.- Scaling Large Language Models to the Extreme: Neural Semantic Processing of Multiple Tasks in Italian.- Named Entity Recognition and Linking for Entity Extraction from Italian Civil Judgements.- Machine Learning.- CENTAURO: an Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.- Toward Novel Optimizers: A Moreau-Yosida View of Gradient-based Learning.- Mastering the Card Game of Jaipur through Zero-knowledge Self-Play Reinforcement Learning and Action Masks.- Uncovering Bias in the Face Processing Pipeline: An Analysis of Popular and State-of-the-Art Algorithms Across Demographic Groups.- A multi-label classification study for the prediction of long-covid syndrome.- PAUL-2: An Upgraded Transformer-Based Redesign of the Algorithmic Composer PAUL.- Robotics and Perception.- Understanding the Effect of Deep Ensembles in LiDAR-based Place Recognition.- Enanching LiDAR performance: Robust De-skewing Exclusively Relying o n Range Measurements.- Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study.- Embedding Shepard's Interpolation into CNN Models for Unguided Depth Completion.- Performance evaluation of depth completion neural networks for various RGB-D camera technologies in indoor scenario.- Hybrid AI.- Inference in Probabilistic Answer Set Programming under the Credal Semantics.- Efficient Modal Decision Trees.- Clique-TF-IDF: A New Partitioning Framework based on Dense Substructures.- Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language.- Applications of AI.- Recognizing the Style, Genre, and Emotion of a Work of Art Through Visual and Knowledge Graph Embeddings.- Combining genetic algorithms and temporal constraint satisfaction for recommending personalized tourist itineraries.- Towards Automatic Digitalization of Railway Engineering Schematics.- Election Manipulation in Social Networks with Single-Peaked Agents.- Learning to Prompt in the Classroom to Understand AI Limits: A pilot study.

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Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

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Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

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Book SynopsisThis two-volume set LNCS 14383 and LNCS 14384 constitutes the refereed proceedings of the 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, held in Kobe, Japan, during November 11–15, 2023.The 30 full papers presented in this book together with 11 short papers were carefully reviewed and selected from 101 submissions. Additionally, the proceedings includes 22 Late Breaking Works.The papers focus on topics such as: theory, history and foundations; social and cultural contexts; tools and systems; interactive narrative design; virtual worlds, performance, games and play; applications and case studies; and late breaking works.Table of Contents​Virtual Worlds, Performance, Games and Play.- As If They Were Here: The Impact of Volumetric Video on Presence in Immersive Augmented Reality Storytelling Traversing Space in The Under Presents (2019), a VR Game.- ”It’s About What We Take With Us And What We Leave Behind”: Investigating the Transformative Potential of Pervasive Games with Various Stakeholders.- Communal Ritual Play: Repetition and Interpretation of Game Narratives Across Communities.- Bridging the gap between the physical and the virtual in tabletop role playing games: exploring immersive VR tabletops.- Circulation and Narrative in a Virtual Environment Detecting Player Preference Shifts in an Experience Managed Environment.- Applications and Case Studies.- ”Bury Me, My Love”: the boundary between reality and fiction in IDNs for smartphone.- Traversing boundaries when translating a literary IDN into several languages: a case study.- The Ethical Colonizer? Grand Strategy Games, Colonization, and New Ways of Engaging Moral Choices.- Gaming the System: Case Study in Investigative Journalism and Playful Interactive Narrative Design to Explain Systemic Bias in Immigration Policy.- Fostering Interdisciplinary Learning for Elementary Students through Developing Interactive Digital Stories.- Merging site recreation and museum exhibition in archaeology exhibition.- Teaching Interactive Digital Narrative Through Found Photography.- Late Breaking Works.- Figure of speech detection and generation as a service in IDN authoring support.- ChatGPT as a Narrative Structure Interpreter.- Curatorial Challenges of Exhibiting VR IDN’s in Film Festival Formats.- What really happened here? Dealing with uncertainty in The Book of Distance: a critical historiography perspective.- A theory-of-mind game for the early detection of frontotemporal dementia.- Towards Procedural Generation of Narrative Puzzles for Open World Games.- Mind Stories: a Story Making game - From Narrative Therapy to Interactive Narrative Therapy. Empathic Experiences of Visual Conditions with Virtual Reality.- The Chronicles of ChatGPT: Generating and Evaluating Visual Novel Narratives on Climate Change Through ChatGPT.- A Crossmedia Storytelling Platform to Empower Vulnerable Groups for IT Security.- Introducing the Comic Automaton: Interaction Design Options for an Interactive Comic for Higher Education.- Comic for Higher Education Dataset Collected Using Illustration Cards.- Analyzing Audience Comments: Improving Interactive Narrative with ChatGPT.- Integrating Storytelling and Making: A Case Study in Elementary School.- Designing a Language Model-Based Authoring Tool Prototype for Interactive Storytelling.- Alice Dali MR: A Mixed Reality Interactive Narrative Experience.- Exploring the Union Between Procedural Narrative and Procedural Content Generation.- A Design-Oriented Framework for Interactive Digital Narrative in Virtual Reality - Focus on Branching Narrative and Agency.- What Is Waiting for Us at the End? Inherent Biases of Game Story Endings in Large Language Models.- Breaking Bad: Unraveling Influences and Risks of User Inputs to ChatGPT for Game Story Generation.- Playing Story Creation Games With Large Language Models: Experiments With GPT-3.5.- Traversing language, the author, and the word in Amira Hanafi’s A Dictionary of the Revolution.

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Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

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Book SynopsisThis book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13–15, 2023.The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.Table of ContentsAn ontology for Tuberculosis Surveillance System.- Should I Stay or Should I Go: A New Reasoner for Description Logic.- An Intelligent Article Knowledge Graph Formation Framework using BM25 Probabilistic Retrieval Model.- Defeasible Reasoning with Knowledge Graphs.- Recommendation of Learning Paths based on Open Educational Resources.- An enterprise architecture for interpersonal activity knowledge management.- Unlocking the Power of Semantic Interoperability in Industry 4.0: A Comprehensive Overview.- On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs.- Towards a Framework for Seismic Data.- Using Pregel to create Knowledge Graphs subsets described by non-recursive Shape Expressions.- ITAQ : Image Tag Recommendation Framework for Aquatic Species integrating Semantic Intelligence via Knowledge Graph.- Automatic Semantic Typing of Pet E-Commerce Products Using Crowdsourced Reviews: An Experimental Study.- A Modular Ontology for MODS – Metadata Object Description Schema.- A Topic Model for the Data Web.- Automating the Generation of Competency Questions for Ontologies with AgOCQs.- KnowWhereGraph-Lite: A Perspective of the KnowWhereGraph.- Ontology-Based Models of Chatbots for Populating Knowledge Graphs.- An Ontology for Reasoning about Fairness in Regression and Machine Learning.- SCIVO: Skills to Career with Interests and Values Ontology.- Topic Modeling for Skill Extraction from Job Postings.

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Book SynopsisThis book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023.The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.Table of ContentsGenerative AI for Explainable Automated Fact Checking on the FactEx: a New Benchmark Dataset.- Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media.- faKy: A Feature Extraction Library to Detect the Truthfulness of a Text.- From sharing misinformation to debunking it: How Coordinated Image Text Sharing Behaviour is used in political campaigns on Facebook.- The Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content.- Lost in Transformation: Rediscovering LLM-generated Campaigns in Social Media.- The Effect of Misinformation Intervention: Evidence from Trump’s Tweets and the 2020 Election.- Coordinated Information Campaigns on Social Media: A Multifaceted Framework for Detection and Analysis.- Unveiling Truth Amidst the Pandemic: Multimodal Detection of COVID-19 Unreliable News.- Holistic Analysis of Organised Misinformation Activity in Social Networks.- Towards Multimodal Campaign Detection: Including Image Information in Stream Clustering to Detect Social Media Campaigns.- ChatGPT as a commenter to the news: can LLMs generate human-like opinions?.- Is foreign language news more or less credible than native language news? Examining the foreign language effect on credibility perceptions.

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Book SynopsisThe two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29–December 2, 2023.The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: ​automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization.Table of Contents​Industrial Speech and Language Technology.- Analysing Breathing Patterns in Reading and Spontaneous Speech.- Audio-Visual Speaker Verification via Joint Cross Attention.- A Novel Scheme to Classify Read and Spontaneous Speech.- Analysis of a Hinglish ASR System’s Performance for Fraud Detection.- Anomaly Detection in Speech: A Comprehensive Approach for Enhanced Speech Analysis.- CAPTuring Accents: An Approach to Personalize Pronunciation Training for Learners with Different L1 Backgrounds.- Speech Technology for Under-Resourced Languages.- Improvements in Language Modeling, Voice Activity Detection, and Lexicon in OpenASR21 Low Resource Languages.- Phone Durations Modeling for Livvi-Karelian ASR.- Significance of Indic Self-Supervised Speech Representations for Indic Under-Resourced ASR.- Study of Various End-to-End Keyword Spotting Systems on the Bengali language under Low-Resource Condition.- Bridging the Gap: Towards Linguistic Resource Development for the Low-Resource Lambani Language.- Studying the Effect of Frame-Level Concatenation of GFCC and TS-MFCC Features on Zero-Shot Children’s ASR.- Code-Mixed Text-to-Speech Synthesis under Low-Resource Constraints.- An End-to-End TTS Model in Chhattisgarhi, a Low-Resource Indian Language.- An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language.- Cross Lingual Style Transfer using Multiscale Loss Function for Soliga: A Low Resource Tribal Language.- Preliminary Analysis of Lambani Vowels and Vowel Classification using Acoustic Feature.- Curriculum Learning based Approach for Faster Convergence of TTS Model.- Rhythm Measures and Language Endangerment: the Case of Deori.- Konkani Phonetic Transcription System 1.0.- Speech Analysis and Synthesis.- E-TTS: Expressive Text-to-Speech Synthesis for Hindi using Data Augmentation.- Direct vs Cascaded Speech-to-Speech Translation using Transformer.- Deep Learning based Speech Quality Assessment Focusing on Noise Effects.- Quantifying the Emotional Landscape of Music with Three Dimensions.- Analysis of Mandarin vs. English Language for Emotional Voice Conversion.- Audio DeepFake Detection Employing Multiple Parametric Exponential Linear Units.- A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection.- On the Asymptotic Behaviour of the Speech Signal.- Improvement of Audio-Visual Keyword Spotting System Accuracy using Excitation Source Feature.- Developing a Question Answering System on the material of Holocaust survivors’ testimonies in Russian.- Enhancing Children’s Short Utterance based ASV using Data Augmentation Techniques and Feature Concatenation Approach.- Studying the Effectiveness of Data Augmentation and Frequency-Domain Linear Prediction Coefficients in Children’s Speaker Verification under Low-Resource Conditions.- Constant-Q based Harmonic and Pitch Features for Normal vs Pathological Infant Cry Classification.- Robustness of Whisper Features for Infant Cry Classification.- Speaker and Language Identification, Verification, and Diarization.- I-MSV 2022: Indic-Multilingual and Multi-Sensor Speaker Verification Challenge.- Multi-Task Learning over Mixup Variants for the Speaker Verification Task.- Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language.- Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification.- Ensemble of Incremental System Enhancements for Robust Speaker Diarization in Code-Switched Real-Life Audios.- Enhancing Language Identification in Indian Context through Exploiting Learned Features with Wav2Vec2.0.- Design and Development of Voice OTP Authentication System.- End-to-End Native Language Identification using a Modified Vision Transformer(ViT) from L2 English Speech.- Dialect Identification in Ao using Modulation-based Representation.- Self-Supervised Speaker Verification Employing Augmentation Mix and Self-Augmented Training-based Clustering.

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Book SynopsisThese two volumes constitute the proceedings of the 21st International Conference, ICSOC 2023, held Rome, Italy, during November 28–December 1, 2023.The 35 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 208 submissions. The volumes focus on cutting-edge topics like artificial intelligence, machine learning, big data analytics, the Internet of Things (IoT), and emerging technologies such as quantum computing, blockchain, chatbots, and sustainable green IT solutions.Table of ContentsProcesses and workflows.- Service descriptions, tags, discovery and recommendation.- Service frameworks for IoT, mobile and smart environments.- Industrial papers.

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Book SynopsisThis book constitutes the refereed proceedings of the 19th International Symposium on Algorithmics of Wireless Networks, ALGOWIN 2023, held in Amsterdam, The Netherlands, during September 7–8, 2023.The 10 full papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: design and analysis of algorithms, models of computation and experimental analysis.Table of ContentsSegment Visibility for k-transmitters.- Conflict Resolution in Arbitrary Hypergraphs.- Dispatching the Minimum Number of UAVs in Neighborhood IoT Networks.- Mutual Visibility with ASYNC Luminous Robots having Inaccurate Movements.- Minimum Degree and Connectivity in 1-Dimensional Line of Sight Networks.- WUBBLE: Energy Efficient BLE Neighborhood Discovery Leveraging Wake-up Radio.- Byzantine Fault-Tolerant Protocols for $(n, f)$-evacuation from a Circle.- Temporal Reachability Dominating Sets: contagion in temporal graphs.- Fair Scheduling Under Packet Management: Competitive Analysis of Age of Information.- Run for Cover: Dominating Set via Mobile Agents.

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Book SynopsisThis book constitutes the refereed proceedings of the 4th Southern African Conference on Artificial Intelligence Research, SACAIR 2023, held in Muildersdrift, South Africa, in December 2023. The 22 full papers presented in these proceedings were carefully reviewed and selected from 66 submissions. The papers are organized in the following topical sections: Responsible and Ethical AI Track; Socio-Technical and Human-Centered AI Track; Algorithmic, and Data Driven and Symbolic AI.Table of ContentsResponsible and Ethical AI track.- Emerging AI Discourses and Policies in the EU: Implications for Evolving AI Governance.- Intergenerational Justice as Driver for Responsible AI.- AI Literacy: A Primary Good.- Exploring the ethical and societal concerns of Generative AI in Internet of Things (IoT) environments.- Warfare in the Age of AI: A Critical Evaluation of ArkinÕs Case for Ethical Autonomy in Unmanned Systems.- Socio-technical and human-centered AI track.- The decision criteria used by large organisations in South Africa for adopting Artificial Intelligence.- Let’s play games: Using no-code AI to reduce human cognitive load during AI solution development.- Algorithmic, Data Driven and Symbolic AI.- Unit-Based Genetic Algorithmic Approach for Optimal Multipurpose Batch Plant Scheduling.- Investigating the extent and usability of webtext available in South Africa’s official languages.- Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices.- Extending Defeasible Reasoning Beyond Rational Closure.- Sequence Based Deep Neural Networks for Channel Estimation in Vehicular Communication Systems.- Comparative Study of Image Resolution Techniques in the Detection of Cancer Using Neural Networks.- Investigating Frequent Pattern-based Models for Improving Community Policing in South Africa.- Financial Inclusion in Sub-Saharan Emerging Markets: The Application of Deep Learning to Improve Determinants.- Viability of Convolutional Variational Autoencoders for Lifelong Class Incremental Similarity Learning.- PuoBERTa: Training and evaluation of a curated language model for Setswana.- Hierarchical Text Classification using Language Models with Global Label-wise Attention Mechanisms.- Multimodal Misinformation Detection in a South African Social Media Environment.- Improving Semi-Supervised Learning in Generative Adversarial Networks.- Impacts of Architectural Enhancements on Sequential Recommendation Models.- A comparative study of over-sampling techniques as applied to seismic events.

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Book SynopsisThis book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).Table of ContentsA combination of Active Learning and Deep Learning for improving breast cancer prediction.- A Novel Arm Bone Fracture Detection Using Deep Learning.- A systematic review of Artificial Intelligence in Geographic Information Systems.- Build an effective system for container code recognition.- Building an Efficient Retriever System with Limited Resources.- Deep Learning based Coconut Fruit Maturity Classification.- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.

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Book SynopsisThe two-volume set LNCS 14461 and LNCS 14462 constitutes the refereed proceedings of the 17th International Conference on Combinatorial Optimization and Applications, COCOA 2023, held in Hawaii, HI, USA, during December 15–17, 2023. The 73 full papers included in the proceedings were carefully reviewed and selected from 117 submissions. They were organized in topical sections as follows: Part I: Optimization in graphs; scheduling; set-related optimization; applied optimization and algorithm; Graph planer and others;Part II: Modeling and algorithms; complexity and approximation; combinatorics and computing; optimization and algorithms; extreme graph and others; machine learning, blockchain and others.Table of ContentsModeling and Algorithms.- ​Differentiable Discrete Optimization using Dataless Neural Networks.- When Advertising meets Assortment Planning: Joint Advertising and Assortment Optimization under Multinomial Logit Model.- Twin-treewidth: A single-exponential logic-based approach.- Highway Preferential Attachment Models for Geographic Routing.- Complexity and Approximation.- Restricted Holant Dichotomy on Domains 3 and 4.- Earliest Deadline First is a $2$-approximation for DARP with Time Windows.- Improved approximation for broadcasting in k-Path Graphs.- The fine-grained complexity of approximately counting proper connected colorings (extended abstract).- Combinatorics and Computing.- Strong edge coloring of subquartic graphs.- Two multicolor Ramsey numbers involving bipartite graphs.- Mechanism Design for Time-Varying Value Tasks in High-Load Edge Computing Markets.- Computing random r-orthogonal Latin squares.- Optimization and Algorithms.- A Two-stage Seeds Algorithm for Competitive Influence Maximization considering User Demand.- Practical Attribute-Based Multi-Keyword Search Scheme with Sensitive Information Hiding for Cloud Storage Systems.- Testing Higher-order Clusterability on graphs.- The $2$-mixed-center color spanning problem.- A Dynamic Parameter Adaptive Path Planning Algorithm.- On the Mating Between a Polygonal Curve and a Convex Polygon.- A Faster Parameterized Algorithm for Bipartite 1-Sided Vertex Explosion.- Multi-Winner Approval Voting with Grouped Voters.- EFX Allocation to Chores Over Small Graph.- Extreme Graph and Others.- Zero-visibility Cops and Robber game on Cage graph.- Online Facility Assignment for General Layout of Servers on a Line.- Guarding Precise and Imprecise Polyhedral Terrains with Segments.- The Bag-Based Search: A meta-algorithm to construct tractable logical circuits for graphs based on tree decomposition.- On Problems Related to Absent Subsequences.- Some Combinatorial Algorithms on the Dominating Number of Anti-Rank k Hypergraphs.- Parameterized and exact-exponential algorithms for the read-once integer refutation problem in UTVPI constraints.- Critical $(P_5,dart)$-Free Graphs.- Graph Clustering through Users' Properties and Social Influence.- Machine Learning, Blockchain and Others.- Incorporating Neural Point Process-based Temporal Feature for Rumor Detection.- Improving Contraction Hierarchies by Combining with All-Pairs Shortest Paths Problem Algorithms.- Information Theory of Blockchain Systems.- Machine Learning with Low Resource Data from Psychiatric Clinics.- Single Image Dehazing Based on Dynamic Convolution and Transformer.- Reinforcement Learning for Combating Cyberbullying in Online Social Networks.

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Book SynopsisThis volume LNCS 14343 constitutes the refereed proceedings of the 8th ECML PKDD Workshop, AALTD 2023, in Turin, Italy, in September 2023. The 20 full papers were carefully reviewed and selected from 28 submissions. They are organized in the following topical section as follows: Machine Learning; Data Mining; Pattern Analysis; Statistics to Share their Challenges and Advances in Temporal Data Analysis. Table of ContentsHuman Activity Segmentation Challenge.- Human Activity Segmentation Challenge@ECML/PKDD’23.- Change points detection in multivariate signal applied to human activity segmentation.- Change Point Detection via Synthetic Signals.- Oral Presentation.- Clustering time series with k-medoids based algorithms.- Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting.- RED CoMETS: an ensemble classifier for symbolically represented multivariate time series.- Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving.- Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression.- ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging.- Poster Presentation.- Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks.- Evaluating Explanation Methods for Multivariate Time SeriesClassification.- tGLAD: A sparse graph recovery based approach for multivariate time series segmentation.- Designing a New Search Space for Multivariate Time-Series Neural Architecture Search.- Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms.- Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Behaviours and Detect Health Issues.- Exploiting Context and Attention with Recurrent Neural Network for Sensor Time Series Prediction.- Rail Crack Propagation Forecasting Using Multi-horizons RNNs.- Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies.- Time-aware Predictions of Moments of Change in Longitudinal User Posts on Social Media.

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Book SynopsisLeveraging Quantum Artificial Intelligence for Intelligent Face Recognition on the Internet of Medical Things (IoMT) for Smart City Surveillance.- Enhancing Privacy and Security for UAV and IoT Enabled Drones An Intelligent Integration of Blockchain, AI, and Quantum Computing.- Harnessing the Synergy of Blockchain, Artificial Intelligence, and Sustainable Energy for a Greener Future.- Impact of Artificial Intelligence on Compulsive Buyers.- Temperature and Humidity Optimization of Smart Greenhouses: Comparison Between Simulated Annealing and Genetic Algorithm.- Utilizing Fuzzy Logic for Autism Detection: An Expert System Framework.- Leveraging Sentiments Generated by AI to Manage Favorable Reviews.- Leveraging AI on images captured through drones for Solar Panel Fault Identification.- Optimizing Energy Usage: Genetic Algorithms Leading the Charge Toward Sustainability.- Novel Bat Algorithm with Cubic Cost Function for Thermal Economic Dispatch Problem Solving.

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Book SynopsisThis book presents many valuable tips for making decisions related to road traffic in transport networks. The knowledge base in practical examples, as well as the decision support systems described in this volume, finds interest among people who face the daily challenge of searching for advanced solutions and practical applications in road traffic engineering. The publication is therefore addressed to local authorities related to the planning and development of development strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions. The tips contained in individual sections of the publication allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (among others, in relation to the heuristic approach to assessing the performance efficiency of road intersections in urban environments from the resilience perspective, modeling the distribution of transport pollutants in a naturally ventilated road tunnel, development of a camera-based parking monitoring system with an automatic parking spot identification). In turn, due to a new approach to theoretical models (including, inter alia, problems with the safety of passengers at tram stops or energy-efficient radio platforms for the implementation of nodes of sensor networks), the publication also interests scientists and researchers carrying out research in this area. The publication entitled "Road Traffic Analysis, Theoretical Approaches and Practical Solutions" contains selected papers submitted to and presented at the 19th “Transport Systems. Theory and Practice” Scientific and Technical Conference organized by the Department of Transport Systems, Traffic Engineering and Logistics at the Faculty of Transport and Aviation Engineering at the Silesian University of Technology. The conference took place on September 18–19, 2023, in Katowice (Poland).Table of ContentsDevelopment of a camera-based parking monitoring system with an automatic parking spot identification.- Energy-efficient radio platforms for implementation of nodes of sensor networks.- A heuristic approach to assess the performance efficiency of road intersections in urban environments from the resilience perspective.- The ecological footprint of embedded rail structures.- Vectors of development of mountain tricycles.

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Book SynopsisThis conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions.The proceedings of MICAI 2023 workshops are structured into three sections: – WILE 2023: 16th Workshop on Intelligent Learning Environments – HIS 2023: 16th Workshop of Hybrid Intelligent Systems – CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and ApplicationsTable of ContentsArtificial intelligence. - Knowledge representation and reasoning.- Planning and scheduling.- Control methods.- Philosophical/theoretical foundations of artificial intelligence.- Computer vision.- Machine learning.- Symbolic and algebraic manipulation.- Simulation theory.- Robots.- Evolutionary computation.- Intelligent systems.- Natural language processing.- Bioinformatics.- Medical applications using AI.

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Book SynopsisFacial Recognition in the Public Space: Challenges and Perspectives.- Emotion Recognition: Benefits and Human Rights in VR Environments.- Facial Recognition Technologies (FRT) in Public Spaces and their Impact on Individual and Collective Behavior.- Enhancing Transparency of Political Micro-Targeting on Facebook.- Taking Responsibility: Who Should be Held Responsible for the Misuse and Unintended Consequences of Social Media's AI Algorithms.- Social Bots Spreading Disinformation About Finance: Research Trends, and Ethical Challenges.- Data Protection and Surveillance: Novel Pathways of an Ethical Data Economy.- The Responsible Implementation of Artificial Intelligence in Childcare.- AI in Pre-Employment Assessments; How Unbiased, Fair and Objective Is It.- AI-Controlled Autonomous Tractors in German Agriculture.

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Book Synopsis1. Demystifying: The Role of Artificial Intelligence in Neurodegenerative Diseases.- 2. Role Of Artificial Intelligence and Internet of Things in Neurodegenerative Diseases.- 3. Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases.- 4. Clinical Genomics to Drug Discovery Using Machine Learning for Neurodegenerative disorders: A Future Perspective.- 5. Amyotrophic Lateral Sclerosis (ALS) Monitoring using Explainable AI.- 6. Prevalence of Dementia in India.- 7. Exploring AI's Role in Managing Neurodegenerative Disorders: Possibilities and Hurdles.- 8. Artificial Intelligence in Neuro Degenerative Diseases: Opportunities and Challenges.- 9. Ethical considerations: Case Scenarios.

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Book SynopsisComparison of OSS Reliability Assessment Methods by Using Wiener Data Preprocessing Based on Deep Learning.- Reliability and sensitivity analysis of a wastewater treatment plant operating with two blowers as a single system.- A Review on Cardiovascular Disease / Heart Disease By Machine Learning Prediction.- A Role of Network Data Envelopment Analysis Approach in Manufacturing Industry: Review of last 5 years.- Exploring Software Systems Engineering through complexity of code changes: A Study based on bugs count, features improvement and new add-ons.- Generating image captions in Hindi based on Encoder-Decoder based Deep Learning techniques.- Fault Removal Efficiency: A Key Driver in Software Reliability Growth Modelling.- Analysis of Progressively Censored Repair Time of Airborne Communication Transceiver with Burr-Hatke Exponential Model.- Bug Prediction Techniques: Analysis and Review.- A Review on Kidney Failure Prediction Using Machine Learning Models.- Machine Learning Based Remaining Useful Life Estimation Concept and Case Study.- Modelling Software Reliability Growth incorporating Testing Coverage Function and Fault Reduction Factor.- Software Defect Prediction using Abstract Syntax Trees Features and Object - Oriented metrics.- A Review of Alzheimer's Disease Identification by Machine Learning.- Weighted Entropic and Divergence Models in Probability Spaces and their Solicitations for Influencing an Imprecise Distribution.- Considering multiplicative noise in a software reliability growth model using stochastic differential equation.- An Insight into Code Smell Detection Tool.- Efficiency of Divergence Measure in Fuzzy TOPSIS Algorithm for Multi-Attribute Decision Making.- Exploring the Impact of Latent and Obscure Factors on Left-Censored Data: Bayesian Approaches and Case Study.- Reliability Perspective of Software and Hardware Models.- Stress-Strength Modelling for a New Modified Lindley Distribution Under Progressively Censored Data.- Imperfect debugging, testing coverage, and compiler error-based SRGM with two types of faults under the uncertainty of the operating environment.- A statistical approach to estimate severe accident vehicle collision probability inside a multi-lane road tunnel with unidirectional traffic flow.   

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Book SynopsisDesigning a Collaborative Safety Training Experience in Virtual Reality.- Data-Efficient Student Profiling in Online Courses.- Understanding Practices, Needs and Challenges of Lifelong Learning Digitalization.- Exploring AI in Videogames: An Application to the Didactic Paradigm "the Virtual Class".- Generative Artificial Intelligence to Improve the Learning of Test-Driven Development.- Reflections on the implications of artificial intelligence in inclusive education.- Peek the Edu-Metaverse: from an Educational Framework to the AI Challenges for Biometrics.- Toward the Deployment of a Chatbot to Augment Computer Science Education.- Breaking Barriers in the Metaverse: An Exploration of Accessibility for Users with Disabilities.- BitStory-An Immersive Serious Game for Computer Science Education.- ProjectCoding-Applied Game for Learning Java.- The impact of music and metaverse on education: results of a scoping review.- Teachers' perceptions and opinions on e_ective learning through th

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Book SynopsisSTAM-SNN: Spatio-Temporal Associative Memory in Brain-inspired Spiking Neural Networks: Concepts and Perspectives.- Fast Multi-scale Batch-Learning Growing Neural Gas.- Conversion between Denavit-Hartenberg and Hayati conventions for calibration and forward kinematics of manipulators.- Stability and Stabilization Conditions for Switching Positive T-S Fuzzy Interval Observes.- Surgical Data Science: Emerging Trends and Future Pathways.- Which Random-Set Representation of a Fuzzy Set Is the Simplest.

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Book SynopsisA Machine Learning framework for improving Resources Process  and Energy efficiency towards a Sustainable Steel Industry.- Overall Writing Effectiveness Exploring Students Use of Large Language Models Pushing the Limits of Automated Text Generation.- Evaluating Room Occupancy with CO2 Monitoring in Schools A Student Participative Approach for Presence Based Heating Control.- Data driven Mobility And Transport Planning In Municipalities Smart Solutions For Limited Resources.- Investigating the Effect of Personal Emotional Score Display on Classroom Learning.

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Book SynopsisChapter 1. Foundations of Cybersecurity.- Chapter 2. Introduction to Zero Trust.- Chapter 3. Implementing Zero Trust Networks.- Chapter 4. Zero Trust for Cloud.- Chapter 5. Compliance and Governance in Zero Trust.- Chapter 6. Applications & Case Studies of Successful Zero Trust.- Chapter 7. Zero Trust Awareness: Creating A Culture Aware of Security.- Chapter 8. Challenges and Future Scope.

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Book SynopsisMisdirection attack in wireless sensor network using  threshold method.- Blockchain for data traceability in the agricultural sector.- Detection of fake URLs using deep LSTM architecture over Social Media.- Leveraging Blockchain for Secure Water Meter Reading.- A Hybrid Differential-Evolution-based approach to the sensor network localisation problem.- A Review on Physical Abuse Detection Techniques using Video Surveillance Systems.- Detection of Suspicious Activities at Hypervisor in Cloud Computing A Brief Study.- A Simple Genetic Algorithm for the Maximum Min Sum Dispersion Problem  Max MinSum DP and New Node Similarity based Variants.- Towards Analysis of Threat Modeling of Software Systems According to Key Criteria.- Deepfake Detection System for Facial Evidence Verification in Criminal Justice and its Legal and Ethical Implications.- A methodology to evaluate the security of block ciphers against neurocryptanalytic attacks.

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Book SynopsisGeometrical Realization for Time Series Forecasting.- Brains over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute.- Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory N Networks.- Bayes Classification Using an Approximation to the Joint Probability Distribution of the Attributes.- Pollutant Source Localization Based on Siamese Neural Network Similarity Measure.- Automatic Emotion Analysis in Movies: Matteo Garrone's Dogman as a Case Study.- Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine Learning and Deep Learning for Dynamic Ransomware Detection.- Empirical Performance of Deep Learning Models with Class Imbalance for Crop Disease Classification.- Automating the Conducting of Surveys Using Large Language Models.- Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0.- Self-Supervised Learning for Robust Surface Defect Detection.- Efficient Deep Neural Network Veri

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Book SynopsisChapter 1. A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0.- Chapter 2. Analyzing the industry 5. adoption barriers in the pharmaceutical sector using an integrated Fuzzy MCDM methodology: A case study application for Turkey.- Chapter 3. Fuzzy Analysis of Ground Humidity Sensor Readings on a Crop Area Managed Using IoT-Technology.- Chapter 4. Intelligent Illumination: Fuzzy Logic Applications in IoT Driven Lighting Solutions.- Chapter 5. Fuzzy Logic and Cybersecurity: An Intelligent Shield in the Digital Age.- Chapter 6. A Text Mining Procedure for Recognizing the Awareness of Industry 4.0 and digitalization perceptions in Construction Industry.- Chapter 7. Additive Manufacturing: Fuzzy Logic Strategies In The Manufacturing Of The Future.- Chapter 8. Share of Local Assortments in Revenue for a Large Scale National Food Retailer : Assessment of Long and Short Time Series Patterns.- C

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Book SynopsisTheory.- Sub-directly irreducible and semi-simple double Boolean algebras.- The Birkhoff completion of finite lattices.- Towards a generalized modus ponens based on the f-index of inclusion.- Efficiency of fuzzy decision algorithms based on the strength of decision rules.- Comparing Relational Concept Analysis and Graph-FCA on their common ground.- Algorithms, Methods, and Resources Shapley value in classification problems with Triadic Formal Concept Analysis.- What is the intrinsic dimension of your binary data? and how to compute it quickly.- Rearrangement of fuzzy formal contexts for reducing cost of algorithms.- What can FCA-based Boolean matrix factorization do for object-attribute biclustering.- FCAvizIR: Exploring Relational Data Set's Implications using Metrics and Topics.- Realizability of Rectangular Euler Diagrams.- Spanning Concept Trees: Algorithms and Interaction.- A Repository for Formal Contexts.- Applications.- Conceptual Mapping of Controversies.- Conceptual Knowledge Modelling for Human-AI Teaming in Data-Frugal Industrial Environments.- Handling Knowledge over Moving Object Trajectories using Formal Concept Analysis.- Discovering the Structure of Odorants in Caenorhabditis elegans using Formal Concept Analysis.- Exploiting Formal Concept Analysis for Data Modeling in Data Lakes.- Document Classification via Stable Graph Patterns and Conceptual AMR Graphs.- Exploring Old Arabic Remedies with Formal and Relational Concept Analysis.- Enhancing JAAD with Knowledge Graphs for Improved Pedestrian Crossing Predictions.- Symbolic Artificial Intelligence for Schema Therapy using Knowledge Graphs.

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Book SynopsisIn late 2022, the prominence of Natural Language Generation (NLG) surged with the advent of advanced language models like ChatGPT. While these developments have captivated both academic and commercial sectors, the focus has predominantly been on the latest innovations, often overlooking the rich history and foundational work in NLG. This book aims to provide a comprehensive overview of NLG, encompassing not only language models but also alternative approaches, user requirements, evaluation methods, safety and testing protocols, and practical applications. Drawing on decades of NLG research, the book is designed to be a valuable resource for both researchers and developers, offering insights that remain relevant far beyond the current technological landscape. Natural Language Generation focuses on data-to-text but also looks at other types of NLG including text summarization. The book takes a holistic approach to NLG, looking at requirements (what users are looking for), design, data issues, testing, evaluation, safety and ethical issues as well as technology. The holistic approach is unique to this book and is very valuable for people building real-world NLG systems, and for academics and researchers who are interested in applied NLG. The author, who previously co-authored a seminal NLG book in 2000, emphasizes high-level concepts and methodologies, ensuring the material's longevity and utility. The book is structured to balance technical depth with practical relevance, including chapters on rule-based and neural NLG approaches, user requirements, rigorous evaluation techniques, and safety considerations. Real-world applications, particularly in journalism, business intelligence, summarization, and medicine, are explored to illustrate NLG's potential and scalability. With personal anecdotes and examples from the author's experiences, this book provides a unique and engaging perspective on the evolving field of NLG, making it an indispensable guide for those looking to harness the power of language generation technologies.

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Book SynopsisEnhancing Programming Education Through Gamification.- A Fault diagnosis technique with the combined DNN and CNN using motor current data.- Management of remote work in distributed software development: a systematic literature review.- Cracking the Code: Understanding Source Code Plagiarism to Enable Learning.- Application for monitoring sentiment analysis and ge-olocation in shared vehicle services.- Energy levels of conduction electrons in nickel nanocluster.

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Book Synopsis.- 1: Extrapolation of periodic signal with Poisson noise using neural networks..- 2: Method for Complexing Information From Intelligent Sensors of Mobile Components of Monitoring Systems..- 3: Using regression models to analyze data..- 4: Improving Password Generation Algorithm with Parallellism: comparative performance study..- 5: Assessing the Feasibility of Implementing Information Systems and Management Systems Projects Using Fuzzy Modeling Tools..- 6: Semi-phenomenological approach to the description of gold nanoclusters..- 7: Imaginary boundary method in studying the optical properties of ordered nanostructures..- 8: A method for controlling the efficiency of second harmonic generation by controlled change in the refractive index of an external dielectric medium..- 9: Study of the properties of selectively transparent metasurfaces tunable through external control of the properties of 2D materials, etc.

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Book Synopsis.- SPARKIT: A Mind Map-Based MAS for Idea Generation Support..- Cooperative Multi-agent Approach for Automated Computer Game Testing..- On the external concurrency of current BDI frameworks for MAS..- SADMA: Scalable Asynchronous Distributed Multi-Agent Reinforcement  Learning Training Framework..- Synergizing Trust and Autonomy: Gaia-X Enabled Multi-Agent Ecosystems for Advanced Freight Fleet Management..- Cognitive Planning for Persuasive Multimodal Interaction..- A Novel Bidding Strategy for PDAs using MCTS in Continuous Action Spaces..- Jadex BDI Agents Integrated with MATSim for Autonomous Mobility on Demand..- Towards Engineering Explainable Autonomous Systems..- Enhancing Confidence of the vGOAL Interpreter Using SAT Solving..- Agents for DDD --- Back and Forth.

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Book Synopsis.- Augmented Reality Interface for UR5e Robot that Transfers Parts to a Human in Collaborative Assembly..- Super-Twisting Algorithm Gain Adjustment Strategy for Manipulator Position Control..- Stabilizing Manipulator Trajectory via Collision-Aware Optimization..- User Perception and Evaluation of a Portrait Drawn by KUKA KR3 AGILUS Manipulator..- Prediction of Deformations on Elastic Objects Using an LSTM Model..- Development of a Dynamic Model of an Underwater Manipulator in Identification Form..- Recursive Estimation Algorithms for AUV Collaborative Navigation in Case of Abnormal Outliers in Measurements..- Improve Working Performance and Adjust Asynchronous Motor Speed in Robot Actuators with an H-bridge Inverter..- Robo-surveillance of a Solar Park for a Workshop in Interdisciplinary Education..- Adaptive Fast Terminal Sliding Mode (FTSM) Control and High Gain Observer (HGO) for Multi-Motor Web Transport Systems..- NavTopo: Leveraging Topo

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Book Synopsis1. FashionWhiz: A Novel Realtime Virtual Fashion Recommender with Try-On Feature.- 2. An efficient intrusion detection systems in the IoT and its challenges: A critical review.- 3. Artificial Intelligence in the detection of autism spectrum disorders (ASD): a systematic review.- 4. Revolutionizing Underwater Imaging: Unveiling The Impact and Advancements Enabled by The Keras UNet Family.- 5. Trustworthy Machine Emotion Intelligence Using Facial Micro-Expressions.- 6. A data management system for a uro-oncology medical clinic.- 7. Designing Energy Efficient Reinforcement Learning Based Routing Protocol for Next Generation Large Area WSN: EE-RLRP.- 8. COVID-19 Imposes Rethinking of Conferencing Environmental Impact Assessment of Artificial Intelligence Conferences.- 9. Tackling Road Hazards: Classification and Detection of Crack and Potholes using deep learning.- 10. ECPX: Empowering Commodity Price Prediction Using XGBoost AlgorithmHRIDAYA- A Cardiovascular Disease Prediction Model.

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Book Synopsis1.Liver Tumor Segmentation using CBAM-U-NET.- 2. Comparative Analysis of Regression and Classification Approaches for Landmark Localization in Cephalometric Analysis.- 3. On the Planning, Search, and Memorization Capabilities of Large Language Models.- 4. An Efficient Parallel Ensemble Deep Classifier for the Prediction of Diabetic Disease.- 5. CNN Based Pest Detection and Recommender System for Plantain Trees.- 6. A Deep Dive into Smart Contracts and their Emerging Applications.- 7. VLSI implementation of secured S-Box design for light-weight block ciphers in low area applications.- 8. Semantic-Aware Image Filtering for Classification of Hyperspectral Images.- 9. Privacy-Preserving Speech Recognition System - A Conceptual Model.- 10.- A Novel Analysis and Classification of Pressure Ulcer Prediction for Coma Patients in ICU Using Deep Learning Techniques.- 11.- An Effective CNN based Indian Sign Language Recognition System using Federated Learning.- 12.- An Augmented Reality Mobile Application for Phobia Treatment.- 13.- Predator an Innovative Routing Protocol for Efficient Node Exploration and Faulty Link Detection in Wireless Sensor Network Environments.- 14.- Energy and Trust Aware Cluster-based Routing in WSN via Self-Improved Beluga Whale Optimization.- 15. Detection of Osteoporosis and Osteoarthritis using Deep Learning Algorithms.- 16. Detection of Multiple Ocular Diseases Using Machine Learning.- 17.- A Review on Lung Cancer Diagnosis and Prediction Techniques.- 18.- Short Review on Brain Activity Recognition via EEG signal.- 19. An Iterative Block Image Compressive Sensing Method for Hybrid TV Image De-Noising.- 20.- Design and Evaluation of Modified Distance Based Energy Efficient Extended Stable Election Protocol: EE-ESEP.

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Book SynopsisMultimodal Contactless Human Stress Detection Using Deep Learning.- Arabic lipreading using YOLO and CNN models.- Investigating Person Attribute Recognition in Challenging Environments.- Layer-wise Compression Analysis of CNN Architectures: Insights from VGG16.- Enhanced ECG Signals Classification with Image-Driven Ensemble Deep Transfer Learning.

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Book Synopsis.- Exploring Children's Interaction with AR to Enhance Spatial Skills: Case Study on Geometry Learning..- Mapping Employable Skills in Higher Education Curriculum Using LLMs..- Exploring collaboration readiness with multimodal learning analytics: The value of generative preparation activities..- Singular Action, Complex Cognition: An Intelligent Tutoring System in Riichi Mahjong..- Leveraging Intelligent Tutoring Systems to Enhance Project-Based Learning in Workforce Training at Community Colleges..- Learning Analytics-Supported Learning Design for a Dutch Distance Learning University..- Evaluation of an LLM-powered student agent for teacher training..- Achieving tailored feedback by means of a teacher dashboard? Insights into teachers' feedback practices..- Learning Analytics Beyond Traditional Classrooms: Addressing the Tensions of Cognitive and Meta-Cognitive Goals in Exercise Sessions..- An experimental study into th

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Book SynopsisLeveraging Quantum Artificial Intelligence for Intelligent Face Recognition on the Internet of Medical Things (IoMT) for Smart City Surveillance.- Enhancing Privacy and Security for UAV and IoT Enabled Drones An Intelligent Integration of Blockchain, AI, and Quantum Computing.- Harnessing the Synergy of Blockchain, Artificial Intelligence, and Sustainable Energy for a Greener Future.- Impact of Artificial Intelligence on Compulsive Buyers.- Temperature and Humidity Optimization of Smart Greenhouses: Comparison Between Simulated Annealing and Genetic Algorithm.- Utilizing Fuzzy Logic for Autism Detection: An Expert System Framework.- Leveraging Sentiments Generated by AI to Manage Favorable Reviews.- Leveraging AI on images captured through drones for Solar Panel Fault Identification.- Optimizing Energy Usage: Genetic Algorithms Leading the Charge Toward Sustainability.- Novel Bat Algorithm with Cubic Cost Function for Thermal Economic Dispatch Problem Solving.

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Book SynopsisConcrete Benefits of Tool Supported Social Collaborative Learning A 2CG Case Study.- Empowering Student Learning through AI: Building Chatbots for Enhanced Problem-Solving Skills InnovateX.- Exploring the Effectiveness of Blended Teaching in Promoting Entrepreneurship Education to Create Decent Work Opportunities for the Youth in Uganda.- Assembly Time: Strategies for Creating Learner Connections Online.- AI for Online Courses Using the ADDIE Model and Bloom's Taxonomy.- Fostering Innovation Through Strategic Partnerships in Aviation Training Post Pandemic.- Entrepreneurial or is it Homeric  Leadership for STEM Students.- The Use of Technologies for Learning in Museums: A Case Study.- Using AI for Critical Thinking Assessment A Digital Humanities Education Experience.- Digital Learning and Heritage Education: An Experience of Skills Development and Learning Design For Future Educators.- Cognitive Clarity Learning Unbiased Decision-Ma

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Book SynopsisVoting Theory.- Game Theory, Optimization, and Decision Making.- Preference Theory.- Allocations and Matching.

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Book Synopsis

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