This book investigates the potential and limitations of using Generative AI (GenAI) in terms of quality and capability in agile web development projects using React.
Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning problems.
Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning problems.
Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them.
Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them.
This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.
This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.
This book presents high-quality research papers presented at 4th International Conference on Smart Data Intelligence (ICSMDI 2024) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during February 2024.
This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field.
This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field.
Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data.
Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure.
This book introduces the concept of "e;bespoke learning"e;, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.
Real-Time Systems in Mechatronic Applications brings together in one place important contributions and up-to-date research results in this fast moving area.
Real-time computing plays a crucial role in our society since an increasing num- ber of complex systems rely, in part or completely, on processor control.
Foundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications.
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes.
Foundations of Dependable Computing: Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level.
The Engineering of Complex Real-Time Computer Control Systems brings together in one place important contributions and up-to-date research results in this important area.
Autonomous agents or multiagent systems are computational systems in which several computational agents interact or work together to perform some set of tasks.
Real-Time Systems Engineering and Applications is a well-structured collection of chapters pertaining to present and future developments in real-time systems engineering.
Real-Time Video Compression: Techniques and Algorithms introduces the XYZ video compression technique, which operates in three dimensions, eliminating the overhead of motion estimation.
The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipate and plan is an essential feature of intelligent systems, whether human or machine.
A comprehensive look at General automata and how it can be used to establish the fundamentals for communication in human-computer systems Drawing on author Eldo C.
The idea for this book came from the time the authors spent at the Statistics and Applied Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina starting in fall 2003.
Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information.
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields.
