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This two-volume set constitutes the refereed proceedings of the First EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad, India, in December 16-17,2022. The 75 full papers presented were carefully reviewed and selected from 209 submissions. The conference focuses on Intelligent Systems and Machine Learning Applications in Health care; Digital Forensic & Network Security; Intelligent Communication Wireless Networks; Internet of Things (IoT) Applications; Social Informatics; and Emerging Applications.
This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
This book will constitute the proceedings of the International Health Informatics Conference (IHIC 2022). This volume focus on artificial intelligence, machine learning, and deep learning approach with their automated intelligent cognitive knowledge as an assisting tool to the existing healthcare tools. The topics covered in this volume are data mining, patient electronic health records, healthcare portals, telemedicine, automatic identification and data collector systems, RFID and localization techniques, usability and ubiquity in e-Health, artificial intelligence for healthcare decision-making, etc. This volume will prove a valuable resource for those in academia and industry.
This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2023), organized by the Computer Engineering Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 24–25, 2023. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics and blockchain technology.
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In the world of digital healthcare, a critical issue looms large, demanding the immediate attention of academic scholars. The convergence of developing medical technologies, innovative digital solutions, and intricate healthcare structures has set the stage for a seismic transformation. However, the understanding of this evolving landscape remains inadequate, and the urgency to decipher these intricacies has never been more pressing. As we witness the rapid expansion of mobile-based digital healthcare, a fundamental problem becomes evident – a lack of comprehensive research on the industry's structure and dynamics. This gaping void in knowledge is the challenge that Analyzing Current Digit...
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This book explores the role of entrepreneurship in empowering tribal women financially and socially in India. It examines their challenges, including access to credit, market opportunities, and skill development. The book discusses government initiatives, policy frameworks, and the role of non-governmental organizations in fostering an inclusive entrepreneurial ecosystem. By providing valuable insights, case studies, and strategic recommendations, this book is a vital resource for researchers, policymakers, and development practitioners working toward sustainable economic empowerment of tribal women.