This book series presents books that are specifically designed to address Distributed Computing and Intelligent Data Analytics. Distributed computing is a much broader technology that has been around for more than three decades now. Distributed memory systems use multiple computers to solve a common problem, with computation distributed among the connected computers (nodes) and using message-passing to communicate between the nodes. Distributed technologies are systems of technology composed of many small parts without centralized coordination or control. Examples of this would include peer-to-peer file sharing networks on the internet, mesh cellular telephone networks, or swarm robotic systems. Intelligent Data Analytics contains AI, ML techniques. Based on artificial intelligence, machine learning, pattern recognition, statistics, database and visualization technology mainly, IDA automatically extracts useful information, necessary knowledge and interesting models from a lot of online data in order to help decision makers make the right choices.
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By Arvind Selwal, Deepika Sharma, Mukesh Maan, Sudeshna Chakraborty, Valentina E. Balas, Ouh Eng Lieh
October 02, 2024
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this ...
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By H S Madhusudhan, Punit Gupta, Pradeep Singh Rawat
September 11, 2024
This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and meta-heuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource...
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By Sangita Roy, Rajat Subhra Chakraborty, Jimson Mathew, Arka Prokash Mazumdar, Sudeshna Chakraborty
June 28, 2023
Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis aims to systematically collect quality research spanning AI, ML, and deep learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also ...
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By Rashmi Priyadarshini, R M Mehra, Amit Sehgal, Prabhu Jyot Singh
September 23, 2022
Artificial Intelligence: Applications and Innovations is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists, professionals, academicians and students dealing ...
By Parveen Berwal, Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Shashi Kant
April 08, 2022
The book Computer Applications in Engineering and Management is about computer applications in management, electrical engineering, electronics engineering, and civil engineering. It covers the software tools for office automation, introduces the basic concepts of database management, and provides ...
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By Punit Gupta, Mayank Kumar Goyal, Sudeshna Chakraborty, Ahmed A. Elngar
February 28, 2022
Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various ...