Ravi Tomar

Sarishma Dangi

JavaScript is an easy-to-use, flexible, dynamic, prototype-based programming language predominantly used over the web. Although the initial focus of the language was to assist in the generation of dynamic web content, it soon found its way into numerous other applications. This book aims to cover the fundamentals of the language by providing a strong start for people who wish to start their journey to the JavaScript programming language. It provides the mandatory theoretical background, which is much needed for implementation of the exhaustive hands-on exercises and includes over 4000 lines of code for grasping a maximum understanding of the material. FEATURES A strong theoretical background and understanding of the fundamentals of the JavaScript language Hands-on and demo exercises at the end of every chapter Exercises, theory-based questions, MCQs and true/false questions for helping readers to evaluate their understanding from time to time A dedicated chapter providing extended case studies for using the language This book is targeted at undergraduate as well as postgraduate students who want to learn about front-end programming or who wish to learn a lightweight, easy-to-use programming language for working on their projects. For programmers having experience in other languages, it will serve as a quick summary to get a hold of a new language.

Syntax and Practices

JavaScript

T. P. Singh

Tanupriya Choudhury

Vaclav Skala

Md. Abul Bashar

This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Proceedings of MIDAS 2021

Machine Intelligence and Data Science Applications

Teoh Teik Toe

Nguyen Gia Nhu

Bhupesh Kumar Dewangan

Bhupesh Kumar Singh

This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud.

Autonomic Computing in Cloud Resource Management in Industry 4.0

Mukesh Kumar Awasthi

Maanak Gupta

Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results. Key Features: • Offers a well-balanced mathematical analysis of modeling physical systems • Summarizes basic principles in differential geometry and convex analysis as needed • Covers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modeling • Focuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etc. This book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.

Theory, Methods, and Simulation

Mathematical Modeling for Intelligent Systems

Thinagaran Perumal

T P Singh

Hussain Falih Mahdi

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4–5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Proceedings of MIDAS 2020

Data Driven Approach Towards Disruptive Technologies

Ravi Tomar

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