Artificial intelligence Books

Recent Research in Autonomous Robots.- Mobile Robots for Polar Remote Sensing.- Guidance and Control of Formation Flying Spacecraft.- Adaptive Sampling for Field Reconstruction With Multiple Moblie Robots.- Grasping Affordances: Learning to Connet...

"Information Theory and Statistical Learning" presents theoretical and practical results about information theoretic methods used in the context of statistical learning. The book will present a comprehensive overview of the...

Automated Video Surveillance.- Identifying Regions of Interest in Image Sequences.- Object Detection and Categorization.- Object Tracking in a Single Camera.- Tracking in Multiple Cameras with Disjoint Views.- Knight Surveillance System Deployment.-...

Recent Trends in Computational and Robot Vision.- Extracting Planar Kinematic Models Using Interactive Perception.- People Detection Using Multiple Sensors on a Mobile Robot.- Perceiving Objects and Movements to Generate Actions on a Humanoid Robot.-...

Contents Foreword viii Acknowledgements x Theoretical Advances in AI 1 An Evolving Oblique Decision Tree Ensemble Architecture for Continuous Learning Applications 3 Ioannis Christou, Sofoklis Efremidis Clustering Improves the Exploration of Graph...

Contributing Authors.- Preface.- Foreword.- Genetic Programming: Theory and Practice.- A Population Based Study of Evolutionary Dynamics in Genetic Programming.- An Application of Information Theoretic Selection to Evolution of Models with...

Some background material on probability and biology.- Using Cognition and Physiology to Build a Cognitive Model.- Representation.- Perception/Action System.- Design of a Reification Engine.- Bridging the Sensor to Symbol Gap.- Working Memory and the...

Micro-assembly is a key enabling technology for cost effective manufacture of new generations of complex micro products. It is also a critical technology for retaining mdustrial capabilities in high labour cost areas such as...

Genetic Programming: Theory and Practice.- Better Solutions Faster: Soft Evolution of Robust Regression Models InParetogeneticprogramming.- Manipulation of Convergence in Evolutionary Systems.- Large-Scale, Time-Constrained Symbolic...

Learning and Neural Nets.- Detection of Breast Lesions in Medical Digital Imaging Using Neural Networks.- Identification of Velocity Variations in a Seismic Cube Using Neural Networks.- Improving the k-NN method: Rough Set in edit training set.- Agents.-...

and Overview.- and Overview.- Foundations.- Definitions.- Scenarios.- Related Work.- Ontology Alignment Approach.- Process.- Advanced Methods.- Implementation and Application.- Tools.- Semantic Web and Peer-to-Peer - SWAP.- Semantically Enabled Knowledge...

Micro Handling and Feeding Techniques.- Design of a Capillary Gripper for a Submillimetric Application.- Multi-Axes Micro Gripper for the Handling and Alignment of Flexible Micro Parts.- Design, Fabrication and Characterization of a Flexible System Based...

Background of the Verification and Validation of Neural Networks.- Augmentation of Current Verification and Validation Practices.- Risk and Hazard Analysis for Neural Network Systems.- Validation of Neural Networks Via Taxonomic Evaluation.- Stability...

An Introduction to Intrusion Detection.- The Base-Rate Fallacy and the Difficulty of Intrusion Detection.- Visualizing Intrusions: Watching the Webserver.- Combining a Bayesian Classifier with Visualization: Understanding the IDS.- Visualizing the Inner...

Biometric user authentication techniques evoke an enormous interest by science, industry and society. Scientists and developers constantly pursue technology for automated determination or confirmation of the identity of...

Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math­ ematics, etc. aim to understand the processes leading to visual...

Fundamentals, Preliminaries and Reviews.- Fundamentals.- Preliminaries and Reviews.- Face Recognition Under Variations.- Symmetric Shape from Shading.- Generalized Photometric Stereo.- Illuminating Light Field.- Facial Aging.- Face Recognition Via Kernel...

Human Identification Based on Gait is the first book to address gait as a biometric. Biometrics is now in a unique position where it affects most people's lives. This is especially true of "gait", which is one of the most...

ForewordPreface1: INTRODUCTION1.1 Goal of this book1.2 Overview2: BASIC CONCEPTS AND RELATED WORK2.1 Distributed Real-Time Systems2.2 Concepts of Dependability2.3 Degrees of Synchrony2.4 Communication System Paradigms2.5 Computational Models2.6 System...

Biometrics: When Identity Matters.- Information Fusion in Biometrics.- Levels of Fusion in Biometrics.- Score Level Fusion.- Fusion Incorporating Ancillary Information.

Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a...

Keynote Presentations.- Swarm Robotics: The Coordination of Robots via Swarm Intelligence Principles.- Immuno-engineering.- Inspiration Based on Insect Behaviors.- Heuristics for Uninformed Search Algorithms in Unstructured P2P Networks Inspired by...

Introduction: Machine Learning for Intelligent Optimization.- Reacting on the neighborhood.- Reacting on the Annealing Schedule.- Reactive Prohibitions.- Reacting on the Objective Function.- Reacting on the Objective Function.- Supervised Learning.-...

Here is, for the first time, a book that clearly explains and applies new level set methods to problems and applications in computer vision, graphics, and imaging. It is an essential compilation of survey chapters from the...

Starting with fingerprints more than a hundred years ago, there has been ongoing research in biometrics. Within the last forty years face and speaker recognition have emerged as research topics. However, as recently as a decade...

Presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systemsThe new edition features six new chapters and has undergone substantial revision...

Are you interested in Machine Learning? Are you fascinated by how robots work? Are you ready to open up to the dynamics of technological change?Machine Learning has been approached in a definitive manner as a subset falling under a larger set of...

This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer vision techniques using PyTorch.

Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and...

Get started with the simplest, most powerful prolog ever: Visual PrologIf you want to explore the potential of Artificial Intelligence (AI), you need to know your way around Prolog.Prolog - which stands for "programming with logic" - is one of the most...

This text offers a comprehensive set of lecture notes introducing live audio programming through the use of Sonic Pi and ChucK, two powerful and versatile tools for creating music with code. These notes are intended to act as a course companion, not...

WSN and IoT: An Integrated Approach for Smart Applications discusses the integration of IoT and WSN which enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of ML, AI, deep learning, and blockchain...

This volume focuses on relevant activities in three main subject areas: Healthcare and Emotion, Mental Health, and Nurse Care Records.

This book provides a cohesive overview of the field of QAI, providing the tools for readers to create and manipulate quantum programs on devices as accessible as a laptop computer.

This handbook offers a cross-disciplinary perspective, models, and innovations in telehealth systems that utilize AI technologies such as Machine Learning, Augmented Reality, Virtual Reality, Big Data Management, and IoT as it discusses various methods...

This book provides a comprehensive overview of the use of AI in wireless communication for the B5G networks. The authors draws on their expertise in the field to explore the latest developments in AI technologies and their application in B5G wireless...

This book is a comprehensive guide that explores the ground-breaking applications of virtual reality (VR), augmented reality (AR), and mixed reality (MR) in various industries. This book aims to equip practicing professionals with the knowledge to...

The book explores edge intelligent techniques and solutions that can be incorporated into IoT-enabled applications. It paves way for researchers and innovators to rethink the application of edge intelligent techniques for their problem domains.

In a world where the boundaries between technology and humanity are rapidly blurring, the looming threat of rogue artificial intelligence has become a haunting reality. "AI Handguide to Global Domination" delves into the gripping and thought-provoking...

This book consolidates and summarizes smart technologies like IoT, edge computing, and AI used in different aspects of waste material management, mitigation, and recycling for a sustainable environment. One of the cases explains how IoT-based systems and...

Computational intelligence (CI) in concrete technology has not yet been fully explored worldwide because of some limitations in data sets. This book discusses the selection and separation of data sets, performance evaluation parameters for different...

The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is ...

This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. Topics: covers learning-group activity models, unsupervised behaviour profiling,...

Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking with a dynamic leader, and containment control with multiple leaders,...

Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual...

Large-scale video networks are of increasing importance in a wide range of applications. However, the development of automated techniques for aggregating and interpreting information from multiple video streams in real-life...