Expert systems / knowledge-based systems

Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available.

This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data.

This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data.

Classical and Fuzzy Concepts in Mathematical Logic and Applications provides a broad, thorough coverage of the fundamentals of two-valued logic, multivalued logic, and fuzzy logic.

This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies.

Classical and Fuzzy Concepts in Mathematical Logic and Applications provides a broad, thorough coverage of the fundamentals of two-valued logic, multivalued logic, and fuzzy logic.

Developing Semantic Web Services is "e;well-informed about work on WS [Web Services] and the SemWeb [Semantic Web], and in particular .

Engineering systems such as an aircraft or frigate are highly complex and specifically designed to meet the customer's requirements.

Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure.

The management of an educational system is referred to as educational administration.

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.

Unlock the power of generative AI in Python development and learn how you can enhance your coding speed, quality, and efficiency with real-world examples and hands-on strategiesKey FeaturesDiscover how GitHub Copilot, ChatGPT, and the OpenAI API can boost your coding productivityPush beyond the basics to apply advanced techniques across the software development lifecycleMaster best practices and advanced techniques to achieve quality code for even complex tasksPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSoftware development is being transformed by GenAI tools, such as ChatGPT, OpenAI API, and GitHub Copilot, redefining how developers work.

Real-Time Systems in Mechatronic Applications brings together in one place important contributions and up-to-date research results in this fast moving area.

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Real-time computer systems are very often subject to dependability requirements because of their application areas.

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.

Real-time systems are now used in a wide variety of applications.

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.

This book is dedicated to exploring and explaining time series event detection in databases.

Knowledge management has become an important topic for the theory and practice of organisation management.

This is the first book to take a truly comprehensive look at clustering.

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.

In recent years AI has been experiencing a deep internal debate on the appropriateness of the symbolic-based paradigm and all of its consequences.

This book will show how generative technology works and the drivers.

Automation in the Virtual Testing of Mechanical Systems: Theories and Implementation Techniques provides a practical understanding of Knowledge-Based Engineering (KBE), an approach that is driving automation in engineering.

First published in 1992, this volume identifies the problems facing the designer of multi-environmental knowledge-based systems, and explains the principles that must be followed in order to obtain successful results.

This book introduces the field of artificial intelligence in medicine, a new research area that combines sophisticated representational and computing techniques with the insights of expert physicians to produce tools for improving health care.

This book introduces the field of artificial intelligence in medicine, a new research area that combines sophisticated representational and computing techniques with the insights of expert physicians to produce tools for improving health care.

Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions.

Computational inference has taken its place alongside asymptotic inference and exact techniques in the standard collection of statistical methods.

Comparing Distributions refers to the statistical data analysis that encompasses the traditional goodness-of-fit testing.

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework.

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.

The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options.

In recent years there has been an explosion of network data - that is, measu- ments that are either of or from a system conceptualized as a network - from se- ingly all corners of science.

Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area.

The papers in this volume comprise the refereed proceedings of the First Int- national Conference on Computer and Computing Technologies in Agriculture (CCTA 2007), in Wuyishan, China, 2007.

The papers in this volume comprise the refereed proceedings of the the First International Conference on Computer and Computing Technologies in Ag- culture (CCTA 2007), in Wuyishan, China, 2007.

Every mathematical discipline goes through three periods of development: the naive, the formal, and the critical.

One of the "e;image"e; problems with wavelets is that because they have been a dominant area of interest (in nonparametric smoothing) people have forgotten that they are general tools with a fascinating role and future in other areas.

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics.