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This book focuses on Deep Learning (DL), which is an important aspect of data science, that includes predictive modelling.
The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for... Læs mere
This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent-based methods.
This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications.
This book constitutes the refereed proceedings of the 15th International... Læs mere
This book treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. and whether they can produce better... Læs mere
This book explores the human-centeredness of blockchain and Web3 economy for the 6G era. By focusing on the research field of robonomics in the 6G Era, this book puts the various developed ideas and concepts into the perspective of the future Super Smart Society 5.0.
Governments around the world use machine learning in automated decision-making systems for a broad range of functions. This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in automated decision-making?
The proposed book covers the aspects of modern transportation systems, with intelligent control and would be extremely useful to students, teachers,... Læs mere
The text addresses the challenges in designing blockchain-based secured solutions for Industry 4.0 applications using artificial intelligence. It... Læs mere