Machine learning

This book is a collection of selected research papers presented at the 2023 4th International Conference on Artificial Intelligence in Education Technology (AIET 2023), held in Berlin, Germany, on June 30 - July 2, 2023.

We are all aware that artificial intelligence (AI) has brought a change in our lives, driven by a new form of interaction between man and machine.

Generative artificial intelligence (AI) is a transformative force in smart healthcare.

This book offers insight into the current issues of the merger between reliability engineering and computational intelligence.

This book offers insight into the current issues of the merger between reliability engineering and computational intelligence.

This book reviews the development of physics-based modeling and sensor-based data fusion for optimizing medical decision making in connection with spatiotemporal cardiovascular disease processes.

The dark universe contains matter and energy unidentifiable with current physical models, accounting for 95% of all the matter and energetic equivalent in the universe.

This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random environment.

* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition

This book details the emerging area of the induction of expert systems in thermal spray technology, replacing traditional parametric optimization methods like numerical modeling and simulation.

An interdisciplinary framework for learning methodologies covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data.

This book details the emerging area of the induction of expert systems in thermal spray technology, replacing traditional parametric optimization methods like numerical modeling and simulation.

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

The study of complex systems has attracted a broad range of researchers from many disciplines spanning both the hard and soft sciences.

Comprehensive introduction to the neural network models currently under intensive study for computational applications.

The book is a summary of a time series forecasting competition that was held a number of years ago.

This book provides different mathematical frameworks for addressing supervised learning.

The study of complex systems has attracted a broad range of researchers from many disciplines spanning both the hard and soft sciences.

Comprehensive introduction to the neural network models currently under intensive study for computational applications.

The book is a summary of a time series forecasting competition that was held a number of years ago.

This book provides different mathematical frameworks for addressing supervised learning.

The Science of Biometrics: Security Technology for Identity Verification covers the technical aspects of iris and facial recognition, focusing primarily on the mathematical and statistical algorithms that run the verification and identification processes in these two modalities.

The Science of Biometrics: Security Technology for Identity Verification covers the technical aspects of iris and facial recognition, focusing primarily on the mathematical and statistical algorithms that run the verification and identification processes in these two modalities.

Soft computing methods such as neural networks and genetic algorithms draw on the problem solving strategies of the natural world which differ fundamentally from the mathematically-based computing methods normally used in engineering.

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts.

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts.

Historically, the term quality was used to measure performance in the context of products, processes and systems.

Historically, the term quality was used to measure performance in the context of products, processes and systems.

A graphical model is a statistical model that is represented by a graph.

A graphical model is a statistical model that is represented by a graph.

Hybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields.

Hybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields.

This volume addresses context from three comprehensive perspectives: first, its importance, the issues surrounding context, and its value in the laboratory and the field; second, the theory guiding the AI used to model its context; and third, its applications in the field (e.

This volume addresses context from three comprehensive perspectives: first, its importance, the issues surrounding context, and its value in the laboratory and the field; second, the theory guiding the AI used to model its context; and third, its applications in the field (e.

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded.

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded.

This textbook provides a general introduction to the field of neural networks.

This textbook provides a general introduction to the field of neural networks.

In recent years, machine learning has gained a lot of interest.

In recent years, machine learning has gained a lot of interest.

Military organizations around the world are normally huge producers and consumers of data.

Military organizations around the world are normally huge producers and consumers of data.

First published in 1998, this volume enters the debate on human behaviour in the form of neural networks in a spatial context.

First published in 1998, this volume enters the debate on human behaviour in the form of neural networks in a spatial context.

Speech and audio processing has undergone a revolution in preceding decades that has accelerated in the last few years generating game-changing technologies such as truly successful speech recognition systems; a goal that had remained out of reach until very recently.

Speech and audio processing has undergone a revolution in preceding decades that has accelerated in the last few years generating game-changing technologies such as truly successful speech recognition systems; a goal that had remained out of reach until very recently.

For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification.

For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification.

As technology continues to advance, the Internet is evolving into what is often referred to as Web 3.

The field of machinery maintenance is undergoing a remarkable transformation, driven by the convergence of intelligent technologies and data-driven approaches.