Machine learning

Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD).

Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design.

This book discusses technology and systems to create valuable ideas from data through the construction of knowledge.

This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing.

Businesses that want to stay competitive know that AI has become a crucial technologyand so do their employees looking to grow their careers.

This book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face.

This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications.

Machine Learning Governance for Managers provides readers with the knowledge to unlock insights from data and leverage AI solutions.

In recent years, deep learning has shown great potential in transforming various fields including healthcare.

This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard.

How we think and react has a direct impact on experience design, but often designers don't understand the "e;whys"e; behind their best practices, leaving them at risk for misusing or underutilizing those designs.

In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount.

Engineering Swarms for Cyber-Physical Systems covers the whole design cycle for applying swarm intelligence in Cyber-Physical Systems (CPS) and guides readers through modeling, design, simulation, and final deployment of swarm systems.

Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing.

Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "e;do-it-yourself"e; approach to extracting interesting patterns from graph data.

The 2022 World Economic Forum surveyed 1,000 experts and leaders who indicated their risk perception that the earths conditions for humans are a main concern in the next 10 years.

The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies.

It is with great pleasure and enthusiasm that we welcome you to the International Conference on Advances in Computational Intelligence and its Applications (ICACIA-2023).

This book focuses on the techniques of artificial intelligence that are mainly used in the power electronics field for the optimization of lost vehicle power.

This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software.

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.

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.

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.