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AN INTRODUCTION TO DEEP LEARNING
Using model architectures, complex structures, or other techniques that are generated from a range of nonlinear transformations, such as neural networks, it is an area of machine learning that is based on algorithms that aim to express high-level abstractions in data. Neural networks are one example of such an approach. In the subject of machine learning, this particular topic is referred to as classification and regression. Deep learning is an area of machine learning that is the topic of the term "deep learning," which is one of the ways that it is defined. When it comes to machine learning, it is a member of a larger family of methodologies that serve as a basis for training models by usi...
INTRODUCTION TO CYBER SECURITY
The capacity to both depends against and recover from an attack via cyberspace is one definition of cybersecurity. According to the definition provided by the National Institute of Standards and Technology (NIST), cybersecurity is the ability to protect or defend against attacks that are made via cyberspace. The totality of cyberspace is composed of several distinct networks of information systems architecture, all of which are interdependent on one another. Internet, telecommunications network, computer systems, embedded systems, and controllers are all examples of networks that fall under this category. In light of this, cybersecurity is concerned with domains such as critical infrastructu...
Thermal and Solutal Convection in Some Hydromagnetic Flows
This book presents a theoretical analysis of several problems in thermal and solutal convections in magneto-hydrodynamic (MHD) flows. It provides a systemic discussion on the development of fluid dynamics, continuum hypothesis, Newton’s law of viscosity, heat transfer, mass transfer, thermal diffusion, diffusion-thermo-MHD, gray and non-gray gases, Fourier’s law of conduction, and Fick’s law of diffusion in such a way that readers with little knowledge in physics will find it easier to understand the contents. Some physical principles, such as those governing fluid motion, fluid temperature, and fluid concentration, are presented in vector form, allowing the corresponding form to be de...
Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1)
Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) examines how federated learning can address key challenges within the Internet of Vehicles, from data security to routing efficiency. This volume explores how federated learning, a decentralized approach to machine learning, enables secure and adaptive IoV systems that enhance road safety, optimize traffic flow, and support reliable data sharing. Chapters cover essential topics, including technologies to address IoV routing issues, secure data exchange using blockchain, privacy-preserving methods, and NLP applications for vehicle safety. By combining theoretical insights with practical solutions, the book highlights how federated learning fosters scalable, resilient IoV systems that respond dynamically to the demands of connected vehicles. Key Features: - Addresses data privacy, secure communication, and adaptive solutions in IoV - Explores federated learning applications in real-time IoV systems - Combines practical examples with theoretical foundations in IoV technology - Includes emerging research areas in IoV federated learning frameworks
Technologies for Sustainable Healthcare Development
In contemporary healthcare, Industry 5.0 technologies present a paradoxical challenge and opportunity. The rapid integration of Cyber Physical Systems, Cloud Computing, Internet of Things, Artificial Intelligence, Smart Factories, and Cognitive Computing has ushered in unprecedented transformations, yet it has concurrently given rise to critical vulnerabilities within healthcare systems. As sensitive patient data becomes increasingly digitized, the specter of cybersecurity threats looms larger than ever. The book, titled "Technologies for Sustainable Healthcare Development," undertakes the crucial task of addressing this pressing concern. Focused on Cybersecurity and Data Science Innovations...
