Resultaten voor 'dipankar dasgupta'

1. Dipankar , Dasgupta
2. Arunava , Roy
3. Abhijit , Nag

Advances in User Authentication

Covers different authentication approaches and their advantages and disadvantagesProvides best practices for secure online access of information resourcesIncludes a special chapter on an innovative approach called Negative Authentication (a game-changer)Gives details of recent trends in continuous active authentication techniques as next generation identity ecosystem and industry adoption such systems

1. Dipankar , Dasgupta
2. Fernando , Nino

Immunological Computation

Over the last decade, the field of immunological computation has progressed slowly and steadily as a branch of computational intelligence. Immunological Computation: Theory and Applications presents up-to-date immunity-based computational techniques. After a brief review of fundamental immunology concepts, it examines computational models based on the negative selection process that occurs in the thymus. The text then explores immune networks, including continuous and discrete immune network models, clonal selection, hybrid models, and computational models based on danger theory. It also discusses real-world applications for the models covered in each chapter.

1. Dipankar , Dasgupta
2. Arunava , Roy
3. Abhijit , Nag

Advances in User Authentication

Covers different authentication approaches and their advantages and disadvantagesProvides best practices for secure online access of information resourcesIncludes a special chapter on an innovative approach called Negative Authentication (a game-changer)Gives details of recent trends in continuous active authentication techniques as next generation identity ecosystem and industry adoption such systems

Artificial Immune Systems and Their Applications

Artificial immune systems are highly distributed systems based on the principles of the natural system. This is a new and rapidly growing field offering powerful and robust information processing capabilities for solving complex problems. Like artificial neural networks, artificial immune systems can learn new information, recall previously learned information, and perform pattern recognition in a highly decentralized fashion. This volume provides an overview of the immune system from the computational viewpoint. It discusses computational models of the immune system and their applications, and provides a wealth of insights on immunological memory and the effects of viruses in immune response. It will be of professional interest to scientists, academics, vaccine designers, and practitioners.

1. Dipankar , Dasgupta

Modern Growth Theory

The book deals with Growth Theory, one of the most interesting as well as important subjects universities across the world teach at the Master's level. It is based on lectures delivered to Master's level students and Research Scholars at the Indian Statistical Institute, the Jawaharlal Nehru University, the Delhi School of Economics, the Indian Institute of Technology, Kharagpur, Kobe University, Japan, and the City University of Hong Kong. In order to take into account student inputs, several batches of students were exposed to the ideas presented here, who provided their feedbacks to the author. The book provides an in depth treatment of Old Growth Theory and then follows it up with the best known works in New Growth Theory. In addition, to ensure that the book serves the purpose of a classroom textbook, the exercises have been added at the end of each chapter that teachers can use to test the understanding of the students. The first two chapters deal with Control Theory which is explained in detail with reference to the best known of Growth Theory Models, viz. Robert Solow's neoclassical model of growth. These ideas extend easily to the later chapters as well. The first two chapters of the book can be used for a first year Master's level course in Macroeconomics as well, though the book as a whole deals with the subject of Economic Growth, which is usually taught as a special paper at the second year Master's level. Finally, given that the book starts off with numerical examples relating to the Indian economy, it should appeal to students studying in Indian universities.

Evolutionary Algorithms in Engineering Applications

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.