Srinivasa K G - Böcker

Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas

Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas

This comprehensive work surveys the challenges, the best practices in the industry, and the latest developments and technologies. It covers the fundamentals of cloud computing, including deployment models, service models, and the benefits of cloud computing, followed by critical aspects of cloud security, including risk management, threat analysis, data protection, identity and access management, and compliance. Cloud Security explores the latest security technologies, such as encryption, multi‑factor authentication, and intrusion detection and prevention systems, and their roles in securing the cloud environment.Features:Introduces a user-centric measure of cyber security and provides a comparative study on different methodologies used for cyber securityOffers real-world case studies and hands-on exercises to give a practical understanding of cloud securityIncludes the legal and ethical issues, including the impact of international regulations on cloud securityCovers fully automated run-time security and vulnerability managementDiscusses related concepts to provide context, such as Cyber Crime, Password Authentication, Smart Phone Security with examplesThis book is aimed at postgraduate students, professionals, and academic researchers working in the fields of computer science and cloud computing.

It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators.Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics.

It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators.Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics.

This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations.