ICDSMLA 2020 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook ICDSMLA 2020 write by Amit Kumar. This book was released on 2021-11-08. ICDSMLA 2020 available in PDF, EPUB and Kindle. This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications
Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications write by Amit Kumar. This book was released on 2023-09-16. Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications available in PDF, EPUB and Kindle. This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.
Track and Trace Management System for Dementia and Intellectual Disabilities
Track and Trace Management System for Dementia and Intellectual Disabilities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Track and Trace Management System for Dementia and Intellectual Disabilities write by Suresh Merugu. This book was released on 2022-08-23. Track and Trace Management System for Dementia and Intellectual Disabilities available in PDF, EPUB and Kindle. This book reviews humanitarian literature and presents the development of low-cost track & trace management system integrated with accurate GPS location data pinging using Internet of Things (IoT). The first part relates to mobile device configuration with an embedded GPS and wireless Internet connection to transmit its current location. The second part presents web server implementation and development that receives the data, parses it, and stores it for access over the Internet. The third part discusses the user interface that allows one to visually identify the current location of the device.
Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough
Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough write by Vinit Kumar Gunjan. This book was released on 2024-01-13. Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough available in PDF, EPUB and Kindle. This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
Modern Approaches in IoT and Machine Learning for Cyber Security
Modern Approaches in IoT and Machine Learning for Cyber Security - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modern Approaches in IoT and Machine Learning for Cyber Security write by Vinit Kumar Gunjan. This book was released on 2024-01-08. Modern Approaches in IoT and Machine Learning for Cyber Security available in PDF, EPUB and Kindle. This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.
