S Vijayalakshmi – författare

The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing artificial intelligence for cyber defense and smart policing.Salient Features:Combines AI for both cyber defense and smart policing in one placeCovers novel strategies in future to help cybercrime examinations and policeDiscusses different AI models to fabricate more exact techniquesElaborates on problematization and international issuesIncludes case studies and real-life examplesThis book is primarily aimed at graduates, researchers, and IT professionals. Business executives will also find this book helpful.

The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing artificial intelligence for cyber defense and smart policing.Salient Features:Combines AI for both cyber defense and smart policing in one placeCovers novel strategies in future to help cybercrime examinations and policeDiscusses different AI models to fabricate more exact techniquesElaborates on problematization and international issuesIncludes case studies and real-life examplesThis book is primarily aimed at graduates, researchers, and IT professionals. Business executives will also find this book helpful.

Smart Systems for Disease Prediction: Advancements, Applications and Challenges is a comprehensive book that explores the use of intelligent technologies to predict diseases accurately and efficiently. It covers a wide range of topics, including image and signal processing, behavioural analysis, and the integration of multimodal data in healthcare. The book examines the application of artificial intelligence, machine learning, and data analytics in creating predictive models for diseases. It also addresses the challenges, ethical considerations, and future directions in the field. This work emphasises the significant impact of intelligent systems on enabling early diagnosis, personalised medicine, and improving patient outcomes.

AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems.

AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems.

As the demand for electricity grows, the need for efficient and cleaner energy sources becomes increasingly critical. This book looks at the world of smart power systems, where artificial intelligence (AI) and the Internet of Things (IoT) are revolutionizing traditional power grids. This book covers a wide range of topics, starting with smart grid fundamentals, benefits, and deployment strategies. It explores power system models and the application of AI and IoT in power forecasting and the assembly of smart grids, the benefits and limitations of grid automation, and the use of machine-learning algorithms to identify equipment congestion. Efficient power distribution methods with AI-IoT and ML-based methodologies are explained, along with power quality checking, smart intelligence-based control, and intelligent power and energy management, as well as the role of blockchain technology in creating smart power systems and their potential impact. The book concludes by examining efficient methods for energy price prediction, secure e-payment solutions, fault detection in transmission lines using AI-based methods and algorithms, and optimized storage systems for energy. With practical case studies and real-world examples, this book will help students, researchers, and professionals in electrical engineering, power systems, and renewable energy expand their knowledge and skills in the emerging field of smart power systems and be at the forefront of the energy transition.