Smita Sharma - Böcker

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into various use cases where deep learning is applied in industrial, social, and personal contexts within the biomedical domain. By gaining a comprehensive understanding of deep learning in biomedical data analysis, readers will develop the skills to critically evaluate research papers, methodologies, and emerging trends. In 11 chapters, this book provides insights into the fundamentals of the latest research trends in the applications of deep learning in biosciences. With several case studies and use cases, it familiarizes the reader with a comprehensive understanding of deep learning algorithms, architectures, and methodologies speci cally applicable to biomedical data analysis. This title is an ideal reference for researchers across the biomedical sciences.Provides a succinct overview of the cutting-edge technologies that are altering disease diagnosis, patient monitoring, and medical researchBridges the gap between biomedical engineering and deep learning by providing a comprehensive resource for comprehending the intersection of these disciplinesInvestigates how deep learning may change healthcare by providing new insights, diagnostics, and treatments via intelligent biomedical systems

This book offers a comprehensive overview of the current state of cybersecurity in smart cities and explores how AI and IoT technologies can be used to address cybersecurity challenges. It discusses the potential of AI for threat detection, risk assessment, and incident response, as well as the use of IoT sensors for real-time monitoring and data analysis in the context of smart cities. It includes case studies from around the world to provide practical insights into the use of AI and IoT technologies for enhancing cybersecurity in different contexts and highlight the potential benefits of these technologies for improving the resilience and security of smart cities.Key Features:Studies the challenges of and offers relevant solutions to using AI and IoT technologies in cybersecurity in smart citiesExamines the unique security risks faced by smart cities, including threats to critical infrastructure, data privacy and security, and the potential for large-scale cyber-attacksOffers practical solutions and case studies to be used to inform policy and practice in this rapidly evolving fieldDiscusses the Fourth Industrial Revolution framework and how smart cities have been a significant part of this manufacturing paradigmReviews aspects of Society 5.0 based on intelligent smart cities and sustainable issues for the cities of the futurePostgraduate students and researchers in the departments of Computer Science, working in the areas of IoT and Smart Cities will find this book useful.