This book is the first attempt to provide a general theory of self-destruction in complex systems applicable to natural, social and cultural phenomena.
The analysis of lunar crescent visibility criterion is vital in providing a comparative insight for predicting the visibility and suitability for Hijri calendar determination.
This volume looks at the forms and functions of counterspeech as well as what determines its effectiveness and success from multidisciplinary perspectives.
This book explores the transformative potential of blockchain technology and shows how blockchain can promote equitable access to resources and bridge societal gaps.
This book presents a comprehensive analysis of the historical progression, present condition, and prospective trajectory of biomedical robotics through the lens of engineering.
This book provides a unique blend of interdisciplinary information to help readers grasp how bioengineering and Internet of Things (IoT) technologies are transforming healthcare.
This book presents a comprehensive analysis of the historical progression, present condition, and prospective trajectory of biomedical robotics through the lens of engineering.
Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of Tiny Machine Learning (TinyML), enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge Internet of Things (IoT) nodes.
Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of Tiny Machine Learning (TinyML), enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge Internet of Things (IoT) nodes.
This book provides a unique blend of interdisciplinary information to help readers grasp how bioengineering and Internet of Things (IoT) technologies are transforming healthcare.
Das Buch richtet sich an Leser, die eine Einfuhrung in Algorithmen und Datenstrukturen erhalten und an Interessierte, die sich daruber hinaus informieren mochten.