Diptendu Sinha Roy – författare

Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities presents the applications of the healthcare sector in the context of futuristic smart cities. It explores various applications like the advancements in computational and network models along with the innovative paradigms for an able healthcare model. The book discusses the state-of-the-art intelligent network and computing paradigms and machine learning models for robust healthcare. This book is for academicians, researchers, and entrepreneurs working on healthcare-driven intelligent computing paradigms to secure futuristic smart cities. It includes several aspects of the challenges faced by a futuristic smart city in healthcare, includes challenges emanating from the immense data generated by the wearable sensors, data analysis, and security concerns owing to the patient-related data. It works as a pertinent resource on how cutting-edge technologies can be integrated to aptly provide solutions for the numerous challenges faced by the healthcare industry. Includes several use cases, practical challenges, and solutions for executing smart healthcare.FeaturesCovers a multitude of computing paradigms viz; Cloud computing, Fog Computing, and Mist ComputingHealthcare is discussed leveraging smart city, so it can potentially identify the gaps and present some newer use cases to handle future pandemicsThe network aspect is also covered with an inclusion of the next-generation paradigm which is Software Defined Networking (SDN)Security and privacy issues are considered, which is crucial to handle security-related aspectsMachine Learning models are also discussed to provide any entrepreneur develop a business model involving cutting-edge technologiesThis book is for academicians, researchers, and entrepreneurs working on healthcare-driven intelligent computing paradigms to secure futuristic smart cities.

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.