Bøker av Anshul Verma

In the present technological age, information is a valuable resource for both small and large enterprises as well as for our daily lives. The key enablers that link the computer resources and devices together to gather, process, and distribute the crucial data both locally and worldwide are network technologies. For our daily lives and commercial operations, network technologies offer effective, adaptable, and seamless communication while maximizing productivity and resources. Due to its significance, this field has undergone a significant evolution in the past few decades, moving away from traditional wired networks and toward Bluetooth, Infrared, Microwave, Radio, and Satellite networks. These days, network technologies are not only employed in computer labs, businesses, or homes; a wide range of various domains, such vehicular ad-hoc networks, mobile ad-hoc networks, and the internet of things, have been seen using network technologies. Researchers from academia and industry have worked hard to build the burgeoning software-based network technologies, such as middleware, protocol stacks, and network software architectures, in addition to the hardware-based and physical network technologies. The paradigm shift in this field is primarily being driven by software-based network technologies, which have also given rise to numerous new network innovations including grid computing, cloud computing, fog computing, edge computing, software defined networks, content centric networks, and so on. However, numerous efforts have been made in cellular network technologies to boost the user experience, and as a result, new cellular network technologies including LTE, VoLTE, and 5G have been developed. Numerous efforts have been made in the networking area by researchers due to the demand for and importance of it in the present and future situations. Many of these efforts are still in progress, and there are still many possibilities that need to be investigated. As a result, it's important to stay up to date on network technology developments and look into further research difficulties that need to be solved for the benefit of users. This book will present the most recent and leading research work in the field of network technologies in order to achieve solutions for various problems exist in this domain.

As the computers and other machines have been developed, researchers and scientists have worked very hard to increase their capacity to carry out a variety of jobs. Thus, computers' capabilities in terms of varied working areas, adaptable duties, processing speed, and smaller size are all increasing exponentially every day. We are currently competing to develop machines or computers that are as intelligent as people. Making a computer or piece of software think like a smart human being is what artificial intelligence (AI) is all about. AI is influenced by the study of the human brain, namely how people make decisions, learn, and respond when attempting to solve any problems. The findings of this study serve as the foundation for creating intelligent systems and software, or intelligent computing (IC). An IC system is capable of learning, reasoning, solving problems, perceiving, and using language. AI and other cutting-edge approaches that provide a system intelligence are used in IC systems. Virtually every branch of computer science has seen the use of intelligent computing, including networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Today, IC is also used to resolve a variety of complicated problems in many different fields, including disease prediction in medicine, crop productivity prediction in agriculture science, market growth prediction in economics, weather forecasting, etc. For all of these reasons, this book provides the most recent developments in AI as well as IC. In this perspective, the book contains the most recent research on machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems, and other related topics.

This book presents the advances in AI techniques under the umbrella of Intelligent Computing. The book provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the Intelligent Computing.

There is a need to keep track of advancements related to the network technologies and further investigate several research challenges to overcome for the ease of users. With this goal, the book provides most recent and prominent research works have been done related to the network technologies.

The IoT has emerged as a paradigm-shifting technology resulting in many new opportunities for IoT professionals. With this goal, the book will provide most recent and prominent applications of IoT in different domains as well as issues and challenges in developing IoT applications for various new domains.