Machine Learning

This book constitutes the refereed proceedings of the Second Analytics Global Conference on Analytics, Machine Learning, and Artificial Intelligenc...

This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broa...

This book features best selected research papers presented at the Fourth International Conference on Machine Learning, Internet of Things and Big D...

This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, ...

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intell...

Deep learning is an important element of artificial intelligence, especially in applications such as image classification in which various architec...

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields of reinforceme...

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements includin...

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The boo...

This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signal...

Green Internet of Things (IoT) envisions the concept of reducing the energy consumption of IoT devices and making the environment safe. Considering...

The success of predictive large language models (PLLMs) like GPT3 and ChatGPT has created both enthusiasts and skeptics of their widespread practic...

This book presents a broad range of regression models including count regression models, constrained and penalised regression models such as ridge,...

This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.' This book studi...

A comprehensive book providing high-quality research addressing challenges in theoretical and application aspects of soft computing and machine lea...

Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bio...

This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer visi...

Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three cr...

Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in c...

This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and...