B. Narendra Kumar Rao – författare

Demonstrating the benefits of the real-time capture of data using AI, this new volume discusses how AI services and applications are indispensable for setting up and sustaining real-time enterprises, using historical as well as runtime data to extract actionable insights in the needed time, leading to insights. Chapters showcase the applications of real-time artificial intelligence in diverse sectors, such as using deep learning for plant disease detection, using AI for IT entrepreneurship, in healthcare for breast cancer and eclampsia screening and monitoring, for fraud detection in online transactions, for traffic sign detection and classification in autonomous vehicles, and more.

Demonstrating the benefits of the real-time capture of data using AI, this new volume discusses how AI services and applications are indispensable for setting up and sustaining real-time enterprises, using historical as well as runtime data to extract actionable insights in the needed time, leading to insights. Chapters showcase the applications of real-time artificial intelligence in diverse sectors, such as using deep learning for plant disease detection, using AI for IT entrepreneurship, in healthcare for breast cancer and eclampsia screening and monitoring, for fraud detection in online transactions, for traffic sign detection and classification in autonomous vehicles, and more.

The metaverse offers a new way of interacting with the world via immersive and interactive technologies. It has the potential to change the way we learn, work and play. 3D modelling, artificial intelligence, virtual, augmented, extended and mixed reality (VR/AR/XR/MR), the Internet of Things (IoT), Web 3.0, 5G and 6G communication, digital twins and simulation technologies, edge and cloud computing, blockchain and cybersecurity are seen as the key enabling and supporting technologies and tools for establishing the next generation metaverse environments. Industrial verticals are keen to embrace the flexible paradigm of the metaverse to be more resilient and relevant to their customers and consumers.This book focuses on the contributing and enabling technologies and use cases for the metaverse including engineering techniques, deployment environments and integrated platforms for designing and developing metaverse applications.Engineering the Metaverse: Enabling technologies, platforms and use cases is aimed at industry and academic researchers, scientists, engineers, architects and programmers working in the fields of information and communication technologies, 5G and 6G communication, AI, data science, IoT, edge and cloud computing, cybersecurity and automation with a focus on immersive technologies. It will also be a useful reference for lecturers and advanced students, and product and project managers as well as developers in the field of the metaverse.

Demonstrating the benefits of the real-time capture of data using AI, this new volume discusses how AI services and applications are indispensable for setting up and sustaining real-time enterprises, using historical as well as runtime data to extract actionable insights in the needed time, leading to insights. Chapters showcase the applications of real-time artificial intelligence in diverse sectors, such as using deep learning for plant disease detection, using AI for IT entrepreneurship, in healthcare for breast cancer and eclampsia screening and monitoring, for fraud detection in online transactions, for traffic sign detection and classification in autonomous vehicles, and more.

This book presents novel work of academicians, researchers, industry professionals, practitioners, and budding engineers to disseminate the most recent innovations, trends, and concerns along with the present-day challenges and the solving approaches for implementation in the domains of data science, intelligent computing, and computer networks and security. It is a collection of selected high-quality research papers from the International Conference on Data Science, Intelligent Computing and Cyber Security (ICDIC 2020) organized by Sree Vidyanikethan Engineering College, Tirupati, India, during 27–29 February 2020. It discusses the latest challenges and solutions in the field of data innovation, data management, data analysis, data security, and intelligent methods and applications.

This book presents novel work of academicians, researchers, industry professionals, practitioners, and budding engineers to disseminate the most recent innovations, trends, and concerns along with the present-day challenges and the solving approaches for implementation in the domains of data science, intelligent computing, and computer networks and security. It is a collection of selected high-quality research papers from the International Conference on Data Science, Intelligent Computing and Cyber Security (ICDIC 2020) organized by Sree Vidyanikethan Engineering College, Tirupati, India, during 27–29 February 2020. It discusses the latest challenges and solutions in the field of data innovation, data management, data analysis, data security, and intelligent methods and applications.