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This book presents an overview of the emerging topics in Artificial Intelligence (AI) and cybersecurity and addresses the latest AI models that could be potentially applied to a range of cybersecurity areas.
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The excellent generalizability of deep learning is like a “cloud” to conventional complexity-based learning theory: the over-parameterization of deep learning makes almost all existing tools vacuous.
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This book is a sequel to the book 'Fieldwork in Humanities Education in Singapore' (Springer, 2021). The... Læs mere
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The rich case study analysis in the area of adoption of AI in healthcare helps generate insights for the academicians and researchers of this field in terms of the parallels drawn between adoptions of AI in healthcare industry 4.0 across the world.
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This book compiles artificial intelligence (AI) applications in new communication technologies such... Læs mere
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Various socio-demographic, medical, technological, and managerial trends determine the emergence and... Læs mere
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Summarizing our current knowledge and highlighting gaps, it offers original examples from empirical research... Læs mere
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The book features the first volume of the proceedings of the 10th... Læs mere
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This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming... Læs mere
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Based on the classic adverse selection model, this book sets up the cyber “lemons” market model and analyzes the basic rule of asymmetric information.
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This book brings together selected papers from the Fourth International Conference on Research in... Læs mere