General

The term ""4th Industrial Revolution"" has become commonplace, popping up in various media, but the public's understanding of the underlying technologies is often lagging the fast-pace of its related technological developments. This book is designed to...

Artificial intelligence (AI) is "the study and design of intelligent agents", where an intelligent agent is a system that perceives its environment and takes actions that maximise its chances of success. In this book, the authors present recent...

The modern definition of artificial intelligence (or AI) is "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions which maximise its chances of success. AI research...

Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '13, an international conference that serves researchers, scholars, professionals, students, and academicians. Selected topics include: *...

Artificial Intelligence is a compendium of articles and papers that were presented at ICAI '13, an international conference that serves researchers, scholars, professionals, students, and academicians.Book InformationISBN 9781601322470Author Hamid R...

Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In particular, there are many problems in biology that are too...

Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish...

An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems...

This book is primarily for computer scientists who research the individual and multitude's intelligence and knowledge representation. The author attempts to answer the following question: Can intelligence spontaneously emerge? The answer is yes...

Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges...

Genetic Programming Theory and Practice VII presents the results of the annual Genetic Programming Theory and Practice Workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the...

Imagine yourself as a military officer in a conflict zone trying to identify locations of weapons caches supporting road-side bomb attacks on your country's troops. Or imagine yourself as a public health expert trying to identify the location of...

In this work, we provide a treatment of the relationship between two models that have been widely used in the implementation of autonomous agents: the Belief DesireIntention (BDI) model and Markov Decision Processes (MDPs). We start with an informal...

Exploration and Innovation in Design is one of the first books to present both conceptual and computational models of processes which have the potential to produce innovative results at early stages of design. Discussed here is the concept of exploration...

Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing "knowledge pieces" as rather universal objects that should fit to multi-purpose a- ing systems...

This work was created from the statement "But, all you have to do is make the robot recognize its surroundings. Salamanders do it, and how complex are they?" Little did we know what a long path was started with those simple words. This book is...

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book...

This book is about model-based diagnosis of a class of discrete-event systems called active systems. Roughly, model-based diagnosis is the task of finding out the faulty components of a physical system based on the observed behavior and the system model...

Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and...

The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever...

Militarized Conflict Modeling Using Computational Intelligence examines the application of computational intelligence methods to model conflict. Traditionally, conflict has been modeled using game theory. The inherent limitation of game theory when...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780750361125Author Animesh MukherjeeFormat HardbackPage Count 132Imprint Institute of Physics PublishingPublisher Institute of Physics Publishing

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780750349550Author Sadegh RaeisiFormat HardbackPage Count 233Imprint Institute of Physics PublishingPublisher Institute of Physics PublishingDimensions(mm)...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780750347990Author Mukhdeep Singh ManshahiaFormat HardbackPage Count 726Imprint Institute of Physics PublishingPublisher Institute of Physics Publishing

This volume, with chapters by leading researchers in the field, is devoted to early vision and attention, that is, to the first stages of visual information processing. This state-of-the-art look at biological neural networks spans the many subfields,...

Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book...

Blockchain Technology Solutions for the Security of IoT-based Healthcare Systems explores the various benefits and challenges associated with the integration of blockchain with IoT healthcare systems, focusing on designing cognitive-embedded data...

Studies on integer optimization in emergency management have attracted engineers and scientists from various disciplines such as management, mathematics, computer science, and other fields. Although there are a large number of literature reports on...

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While...

The Industry 4.0 vision has been baking for quite a while, but the enabling technologies are now ripe enough to turn this vision into a grand reality sooner than later. It is pronounced by many as the fourth industrial revolution and it involves the...

To realize the goals of healthcare professionals and exploit doctors' talents across the globe, it becomes necessary to use their expertise. The expertise can be utilized by requesting a primary or second opinion for a particular ailment. Request doctors...

With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of modern days' requirements. The main aim of the modern healthcare system is to predict...

Traditional robotic systems rely on extensive feature engineering for sensor data and environment state representation, followed by data analysis steps that are usually disconnected from the data representation. Deep Learning-based methodologies,...

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning...

Cognitive Big Data Intelligence with Meta-Heuristic Approach presents an exact and compact organization of content relating to the latest meta-heuristics methodologies based on new challenging big data application domains and cognitive computing. The...

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams. The book brings new advances and generalized techniques for...

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative...

The majority of current medical image computing (MIC) research into deep learning directly applies the techniques developed from computer vision. This book draws a distinction between computer vision and MIC and investigates what are the correct ways to...

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and veri?cation. Sections cover adversarial attack, veri?cation and defense, mainly focusing on...

Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE...