The scope of 11th International Conference Confluence 2020 covers the broad spectrum of Influential areas in the field of Information Technology and Computer Science The major topics include, but not limited to Ad hoc and Sensor Networks, Artificial Intelligence, Autonomic Computing, Big Data Business Clouds, Cloud Computing Architectures, Cloud Computing Consulting Methods, Cloud Security, Privacy and Compliance Challenges Content Management Data Mining & Ontology, Grid Computing, Image Processing, Intelligent Information System Interaction of Mobile Computing, mCommerce and Clouds Natural Language Processing, Network Architectures and Protocols, Network Security & Cryptography, Pattern Recognition, Quantum Computing, Remote Sensing & GIS, Service Oriented Architecture and Cloud Computing Soft Computing, Software Engineering, Software Security & Risk Management Ubiquitous Computing Virtual and Overlay Networks Web Mining Wireless Communication and any other Relevant Topics Field

This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

This book is a collection of selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2023), held at South Asian University, New Delhi, India, during 22–23 April 2023. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

The book is a collection of best selected research papers presented at International Conference on Cyber-Technologies and Emerging Sciences (ICCTES 2021), organized by Graphic Era Hill University, Bhimtal Campus, Uttarakhand, India, during 17 – 18 December 2021. The book covers state-of-the-art applications, innovative methods, and analyze the unexplored and unsolved challenges to establish the relative solutions to advance the existing applications and theories of Cyber-Technologies and Emerging Sciences.

This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.

This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: • Focuses on hybridization and optimization of machine learning techniques. • Reviews supervised, unsupervised, and reinforcement learning using case study-based applications. • Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing. • Explains computing models using real-world examples and dataset-based experiments. • Includes case study-based explanations and usage for machine learning technologies and applications. This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.