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This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial... Læs mere
Artificial intelligence and digital engineering have become prevalent in business,... Læs mere
People want to create a better world and planet; however, where and how to start remains the question. This book uses the Systems... Læs mere
This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached maturity.
Life's context is uncertain environmental information, communication is its means, and genes are its tools. Evolution is its yield as continuous non-random self-referential cellular problem-solving.
The text investigation various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It... Læs mere
The text presents mathematical modeling techniques such as wavelet transform, differential calculus, and... Læs mere
The book offers comprehensive coverage of the essential topics, including machine Learning and Deep Learning for cybersecurity,... Læs mere
The book focuses on developments in AI and IoT integration for smart healthcare, with an emphasis on current methodologies and frameworks for... Læs mere
Computational complexity is critical in analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time space trade-off, symptotic notations and so forth.
The text covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care... Læs mere
The book is concerned with contemporary methodologies used for automatic text summarization. It proposes interesting approaches to solve well-known problems on text-summarization using computational intelligence (CI) techniques including cognitive approaches.