Information theory Books

Book Synopsis.- Main Track..- Transformer Based Models for Offline Multi-Agent Reinforcement Learning..- Theory and Practice of Natural Strategy Checking in Concurrent Games with Imperfect Information..- Optimizing road intersections using phase scheduling..- SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2..- Evaluating Infrastructure-Less Cooperative Parking Guidance via Agent-Based Simulation..- Multi-Agent Reinforcement Learning with Automated Negotiation for Serial Supply Chain Management..- Royal FLush: a MAS-based platform for Decentralized Federated Learning based on SPADE agents..- Prioritized Path Planning for Multi-Agent Pickup and Delivery with Multi-Item Packing Problem..- Distribution Model: Separation of Concerns to Facilitate the Distribution of Agent-Based Models..- Towards an LLM-powered Social Digital Twinning Platform..- Knowledge Graph-Enhanced Multi-Agent Infrastructure for coupling physical and digital robotic environments..- Applying an Innovative TCN and Multi-Tasks SVM for Early Sepsis Prediction..- Towards understanding Complex Adaptive Systems: An illustration on urban logistics..- Efficient Assignment of Immediate Tasks Using Deep Reinforcement Learning in Multi-Agent Pickup and Delivery..- Towards a replicable synthetic population and agent-based transport model for Bavaria..- LDAS: Proposal for semi-optimal Storage Locations using LDA and SA.- Influence of State Representation on Algorithmic Collusion under Deep Learning..- MASPY: A Python-Based Framework for Developing BDI Multi-Agent Systems..- Is Generative Artificial Intelligence Ready for Computational Social Science?..- Learning Controllability Using Destination Channels with Reward Navigation in Multi-Agent Systems..- A migration control approach to improve security for Open MAS in IoT networks..- Drone Swarms for Multi-Perspective Monitoring of Large Mammals in their Natural Habitats: Deployment and Field Trials..- An Identity Based Agent Model for AI Value Alignment..- Rasa4JaCa - A Communication Interface between Multi-agent Systems and Opensource Chatbot Technologies..- SPADE as a MAS framework for the development of Digital Twins..- TimeCIEL : Contextual Interactive Ensemble Learning for Time Series Classification..- Marketing Strategies and Context Effects..- DEMONSTRATIONS TRACK..- Why is intersection control such a difficult task? A demonstration..- Situated Agents in Action: Extending VEsNA with Spatial and Grabbable Artifacts..- On the Usability and Extensibility of VITAMIN..- Analysis, Implementation and Demonstration of the Nim Game Mathematical Winning Strategy..- Machine learning for decision support and automation in games: agent city navigation..- Planner-Guided Robot Swarm Demonstration with Natural Language Control..- Demonstration: WellProdSim Social Simulator Terrain Model..- From Console to Dashboard: A Demonstration of Real-Time Visualization for Social Simulation with WellProdSim..- CyberAIMs: Using Agent-based Modeling & Simulation to address Strategies in Cyberspace.

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Book SynopsisEnsemble Classifier for Real-Time Breast Cancer Classification on Histopathology Images.- A Smart Surveillance Framework for Real-Time Suspicious Activity Detection and Automated Alert Generation Using YOLOv8.- Enhancing E-Commerce Trust: An Integrated Product Recommendation and Fake Review Detection System.- Hardware-Efficient Neural Network for Voice Disorder Classification from Multi-Source Datasets.- Predictive Maintenance on C-MAPSS Using LSTM Variants and Attention.- Unveiling Ebola-Human Protein Links through Network Embedding and Unsupervised Machine Learning.- Discount Optimisation in Food Delivery Using Machine Learning.

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Book Synopsis.- A Phenomenological Study on Experiences and Challenges of African Swine Fever in the Case Hog Raisers in San Jose, Batangas..- The Monitoring, Analysis and Adjustment of the Production Efficiency in the Manufacturing Workshop..- The Dynamic Role of Letters to the Editor in Literature: An Analysis Based on a Bibliometric and Content Analysis Using VOSviewer, R & MAXQDA..- GenAI-Driven Migration of Legacy COBOL Applications to Clean Java Code..- Self-Explaining Neural Networks for Business Process Monitoring..- Students’ Career Path in Databases and Web Programming..- Resilient Smart Construction Sites: A Simulation-Based Analysis of Material Flow Disruptions..- Community Relations Management (CoRM) Analytics: A Text Analytics Approach to Elevate Community Happiness..- Frugal Data Science..- Business Intelligence for Contract Management Using Large Language Models and AI Agents..- Traditional Coding, Low-Code and AI Assistants..- AI-Driven Dynamic Task Difficulty Adjustment for an SQL Learning Game..- Responsible Marketing in the Age of AI: Ethical Reflection for Companies Between Innovation and Responsibility..- A Hybrid Approach Combining Robotic Process Automation andArtificial Intelligence to Automate Unstructured Business Processes..- Challenges and Limitations of Leveraging LLMs for Anomaly Detection:Insights from a Manufacturing Case Study..- Benefits from the Implementation of New Digital Technology Trends in the Colombian Oil and Gas Industry..- Digitalization of Businesses with Low-Cost Web and IoT Technologies:A Case Study of a Smart Gym..- Exploring Interoperability in Blockchain Games: A Systematic Review..- AI-Based Efficient Automation of Decision Logic Representation.

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Book Synopsis.- Neuro-Symbolic and AI-Assisted Contradictions..- Research on Technology Opportunity Discovery and Implementation Based on Multi-Layer Knowledge Graphs ..- Systematic Cause Elimination in TRIZ Cause-Effect Models With Partially Defined Logical Operators..- Comparative Study on AI-Augmented Inventive Problem Solving With TRIZ, TRIZ-AI Hybrid, and Autonomous AI: An Inline Coating Measurement Case in Lithium-Ion Cell Production..- AI-Powered Identification of Main Parameters of Value (MPVs) for Trends of Engineering System Evolution (TESE): Benchmarking Language Models on Wound Care Medical Device Patents..- Generative Agents for Ideation and Design..- Enhancing Patent Drafting Through Contradiction Identification..- Discovery Omnia: Dynamic RAG for Enhanced Patent Analysis and Systematic Innovation..- Study on PBL (Problem/Project-Based Learning) Based on TRIZ Methodology..- Evaluating LLM Performance in TRIZ-Based System Forecasting: A Study Using the 9-Windows Tool..- Leveraging Problem Graph Extraction and Improvement Perspectives for AI-Assisted Invention..- Leveraging Large Language Models and TRIZ for Automated Patent Drafting and Innovation Generation. .- Tech Mining, Forecasting and Cross-Domain Exploration..- Artificial Intelligence for Contradiction Solving in Lean Green Supply Chain Performance Context: A Comparative Case Study..- Contradiction Formulation Using Large Language Models and Generative AI..- Patents as Signals for Green Investment Opportunity Evaluation: A Full-Cycle AI-Powered TRIZ Framework..- Automated TRIZ Function Model Generation Using Large Language Models: An Ontology-Guided Framework for Engineering Problem Analysis..- TRIZ in Speech Analytics: Overcoming the AI Precision-Resource Efficiency Contradiction for Scalable Contact Center Innovation..- Modeling, Verification and Optimization of Technical Systems..- LLM-Based Functional Modeling of Technical Systems..- Measuring Transdisciplinarity in Startups With NLP and TRIZ Principles..- CPU-Efficient Verification of Science Problem-Solution Pairs: Design Rationale and Baselines..- Classification of Geometric Effects Based on the 40 Inventive Principles..- Frameworks for Digital Transformation and Industry 5.0..- A TRIZ and Socratic AI-Based Problem-Solving Framework..- Resilient Innovation Portfolio Management Approach: Exploring Alternative Strategies..- Investigating the Integration and Adaptation of ARIZ With Large Language Models..- Seeking Additional Mitigation Strategies for State Machine Cause-Effect Modeling.

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Book Synopsis.- Health and Well-Being..- Deep Learning for Depression Detection Using EEG Signals: A RNN Based Approach..- Detection of gynecological and andrological cancers using AI: A Review..- Developing a framework driven by analytics to forecast the binding free energy level and, consequently, the new inhibitor nature of medicinal chemical compounds..- Dynamic Weighted Deep Learning Ensemble Model for Accurate Cervical Cancer Classification from Pap Smear Images ..- Is The Indian Information Technology Sector COVID-19 Infected?..- SLR Framework: Enhancing Communication for Deaf Individuals with Smart Glove and Machine Learning..- Social Well-Being..- Automated Thematic Analysis of CSR Reports Using Machine Learning..- Information Hiding by Graph Labelling through AI..- Machine Learning of Forced Convection Heat Transfer..- Simulated Longitudinal Dynamic Decision Networks (SLDDN)..- The Effects on Bug Resolution Time: A Causal Discovery Perspective..- Vulgar Language Detection using web-scraped X data: A Machine Learning Approach..- Financial Security..- ATM Fraud Detection using Streaming Data Analytics..- FedELF: A Privacy-preserving Federated Classification using Iterative Extreme Learning Factory..- Gen AI-Assisted Copilot for Risk Analysts..- Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark.

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Book Synopsis.-Social Networks & Intelligent Systems:From Relevance to Discovery: Trends in Overcoming Information Bubbles.-Enhanced Link Prediction in Social Networks Leveraging Reinforcement Learning and Similarity Algorithms.-Outdoor air quality and health impact: the PANORAMA knowledge graph based approach.-An Integrative Network Modeling Approach for the Interplay of Emotion Contagion, Empathic Responding, and Interpersonal Emotion Regulation for an AI Coach.-A Formal Model for Determining the Influence Between Users in Social Media Using Directed and Weighted Graphs.-Query-Aware Temporal Knowledge Graph Reasoning with Multi-Source Knowledge Based Generation.-Self-Attention based Sequential Recommendation Systems improved with Reviews Topic Modeling in e-Commerce Transactions.-Cyber-Security, Blockchain & IoT:Enhancing Phishing URL Detection with Graph Neural Networks: A Combination of URL and HTML Features.-Enhancing DevSecOps Through Large Language Model Integration: A Pipeline-Centric Approach.-Lightweight Activity Recognition Model Based on Tiny Machine Learning for Embedded Devices.-BeDFL: A Blockchain-enabled Decentralized Federated Learning in a Non-trusted Environment.-A Dual-Layer Defense Mechanism for Dropout Attack in Wireless Link Estimation.-Black-box Two-phase Adversarial Attack: Finding Important Regions and Reducing L2-loss.-Computational Intelligence in Medical Applications:Retinal Blood Vessels Segmentation for ROP Plus Form Diagnosis.-Data imputation for noisy time-series data in healthcare.-Leukemia Detection Based on YOLOv11 with Global and Local Contexts Interaction.-MOSL: Integrating multi-omics and machine learning to predict synthetic lethality in cancer cell lines.-The New Method for Detection of Alzheimer’s Disease.-Enhanced CT Image Reconstruction Using VMD-Based Quaternion Bilateral Filtering.-Computational Intelligence for Digital Content Understanding: Automated Image Recognition Framework.-FaR: Enhancing Multi-Concept Text-to-Image Diffusion via Concept Fusion and Localized Refinement.-LTDAD-Talker: Landmark-guided Talking Face Generation with Temporal Consistency and Detail-Aware Discriminator.-Semi-Supervised Video Action Detection Using a UNet-like Architecture.-Enhancing Tracking-by-Transformer by using State Transition Prediction.-Temporal Interpolation of Variable-sized LIDAR Point Clouds.-WSS-CL: Weight Saliency Soft-Guided Contrastive Learning for Efficient Machine Unlearning Image Classification.-CLM: Momentum and Torque Conservation for Robust Continual Learning.-Learning action strategies in the Wumpus World with DQN.-Can Frequency Filtering Approximate CNNs for Enhancing Segment Anything?.-R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation.-Deep Learning-Based Source Printer Identification from Microscopic Ink Dots Using Morphology-Based Augmentation.-An algorithm to remove motion-based artifacts in MRI data based on deep learning methods.-Imbalanced Data Problem in INTERCO Detection.-Collaborative Multimodal Learning for Human-Human Interaction Recognition in Videos.

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Book SynopsisThis textbook provides an introduction to the mathematics on which modern cryptology is based. It covers not only public key cryptography, the glamorous component of modern cryptology, but also pays considerable attention to secret key cryptography, its workhorse in practice. Modern cryptology has been described as the science of the integrity of information, covering all aspects like confidentiality, authenticity and non-repudiation and also including the protocols required for achieving these aims. In both theory and practice it requires notions and constructions from three major disciplines: computer science, electronic engineering and mathematics. Within mathematics, group theory, the theory of finite fields, and elementary number theory as well as some topics not normally covered in courses in algebra, such as the theory of Boolean functions and Shannon theory, are involved. Although essentially self-contained, a degree of mathematical maturity on the part of the reader is assumed, corresponding to his or her background in computer science or engineering. Algebra for Cryptologists is a textbook for an introductory course in cryptography or an upper undergraduate course in algebra, or for self-study in preparation for postgraduate study in cryptology.Trade Review“Cryptography is technically synonymous with information security. Providing security features for data and information is the most important concern in a business requirement. … this book provides rich mathematical treatment of cryptographic algorithms in a simplified way. … This book presents nice and valuable material for students, researchers, and practitioners working in the field of information security.” (S. Ramakrishnan, Computing Reviews, March, 2017)“The present book consolidates the mathematics these students need to know into a single volume and will help them greatly. Initially, this reviewer believed that the book would be mostly redundant for mathematics majors, but as he read further, he found that it could serve as a valuable supplement within a math course. … Summing Up: Highly recommended. Upper-division undergraduates and above; faculty and professionals.” (C. Bauer, Choice, Vol. 54 (7), March, 2017)“This book introduces the basic algebra used in modern cryptology. It is mainly addressed to computer scientists and engineers entering the field of mathematical cryptology, but it may also be used as an introduction to algebra and elementary number theory with emphasis on application in cryptology for undergraduate students in computer science, engineering and also mathematics. The book is easily accessible, enjoyable to read, and essentially self-contained.” (Wilfried Meidl, zbMATH 1364.94005, 2017)“First, the text also covers number theory and also introduces information theory and coding theory. This material is of course algebraic in nature, but does go beyond what one typically expects to see in a book … that is advertised as a text in algebra. Second, the book not only discusses these topics but actually shows how they are used in the study of cryptography. … this book might definitely have some appeal as a prospective text.” (Mark Hunacek, MAA Reviews, December, 2016)Table of ContentsPrerequisites and Notation.- Basic Properties of the Integers.- Groups, Rings and Ideals.- Applications to Public Key Cryptography.- Fields.- Properties of Finite Fields.- Applications to Stream Ciphers.- Boolean Functions.- Applications to Block Ciphers.- Number Theory in Public Key Cryptography.- Where do we go from here?.- Probability.

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Book SynopsisThis book constitutes the refereed proceedings of the 4th International Conference on Sequences and Their Applications, SETA 2006. The book presents 32 revised full papers together with 4 invited lectures. The papers are organized in topical sections on linear complexity of sequences, correlation of sequences, stream ciphers and transforms, topics in complexities of sequences, multi-sequence synthesis, sequences and combinatorics, FCSR sequences, aperiodic correlation and applications, and boolean functions, and more.Table of ContentsInvited Papers.- Shift Register Sequences – A Retrospective Account.- The Probabilistic Theory of the Joint Linear Complexity of Multisequences.- Multi-Continued Fraction Algorithms and Their Applications to Sequences.- Codes for Optical CDMA.- Linear Complexity of Sequences.- On the Linear Complexity of Sidel’nikov Sequences over .- Linear Complexity over F p of Ternary Sidel’nikov Sequences.- Bounds on the Linear Complexity and the 1-Error Linear Complexity over F p of M-ary Sidel’nikov Sequences.- The Characterization of 2 n -Periodic Binary Sequences with Fixed 1-Error Linear Complexity.- Correlation of Sequences.- Crosscorrelation Properties of Binary Sequences with Ideal Two-Level Autocorrelation.- Extended Hadamard Equivalence.- Analysis of Designing Interleaved ZCZ Sequence Families.- Stream Ciphers and Transforms.- Security of Jump Controlled Sequence Generators for Stream Ciphers.- Improved Rijndael-Like S-Box and Its Transform Domain Analysis.- Topics in Complexities of Sequences.- Nonlinear Complexity of Binary Sequences and Connections with Lempel-Ziv Compression.- On Lempel-Ziv Complexity of Sequences.- Computing the k-Error N-Adic Complexity of a Sequence of Period p n .- On the Expected Value of the Joint 2-Adic Complexity of Periodic Binary Multisequences.- Linear/Nonlinear Feedback Shift Register Sequences.- On the Classification of Periodic Binary Sequences into Nonlinear Complexity Classes.- Sequences of Period 2 N –2.- A New Algorithm to Compute Remote Terms in Special Types of Characteristic Sequences.- Multi-sequence Synthesis.- Implementation of Multi-continued Fraction Algorithm and Application to Multi-sequence Linear Synthesis.- The Hausdorff Dimension of the Set of r-Perfect M-Multisequences.- Filtering Sequences and Pseudorandom Sequence Generators.- Lower Bounds on Sequence Complexity Via Generalised Vandermonde Determinants.- Construction of Pseudo-random Binary Sequences from Elliptic Curves by Using Discrete Logarithm.- On the Discrepancy and Linear Complexity of Some Counter-Dependent Recurrence Sequences.- Sequences and Combinatorics.- Nonexistence of a Kind of Generalized Perfect Binary Array.- FCSR Sequences.- On the Distinctness of Decimations of Generalized l-Sequences.- On FCSR Memory Sequences.- Periodicity and Distribution Properties of Combined FCSR Sequences.- Aperiodic Correlation and Applications.- Generalized Bounds on Partial Aperiodic Correlation of Complex Roots of Unity Sequences.- Chip-Asynchronous Version of Welch Bound: Gaussian Pulse Improves BER Performance.- Boolean Functions.- On Immunity Profile of Boolean Functions.- Reducing the Number of Homogeneous Linear Equations in Finding Annihilators.- The Algebraic Normal Form, Linear Complexity and k-Error Linear Complexity of Single-Cycle T-Function.- Partially Perfect Nonlinear Functions and a Construction of Cryptographic Boolean Functions.- Construction of 1-Resilient Boolean Functions with Very Good Nonlinearity.

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