Machine Learning Algorithms for Problem Solving in Computational Applications

The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture.

●Ten in-depth case studies explore a range of applications for all of the major functional areas of IHRM ensuring students grasp the principles in each chapter.●Additional questions and further reading recommendations provide scope for reflection and support learning for students at all levels.●A fully updated companion website is available to support you including PowerPoint slides, Instructor Manual, and a Cognero Test Bank.●Topics examine the practical complexities that arise within the major areas of IHRM, detail the key components, outline the main approaches and its advantages and disadvantages as well as considering the problem areas.