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Optimization, machine learning, and artificial intelligence are revolutionizing society, medicine, environmental science, transportation, and education. In medicine, AI-driven diagnostics and personalized treatments improve patient outcomes, while optimization streamlines resource allocation. Environmental science benefits from machine learning's ability to analyze complex datasets, enabling sustainable practices and climate predictions. In transportation, optimization enhances logistics and traffic flow, with AI powering autonomous vehicles and predictive maintenance. Across all areas, these technologies drive efficiency, innovation, and smarter decision-making. Practical Applications of Ma...
This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27–28, 2024. The 38 full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: This volume encompassing a diverse array of topics at the intersection of cutting-edge technologies and practical applications. Each chapter delves into innovative approaches and solutions, providing valuable insights into contemporary challenges and opportunities in various domains. Here, we explore the realms of blockchain, data science, machine learning, artificial intelligence, and more, offering in-depth analyses and practical implementations.
The agriculture industry is facing significant challenges in meeting the increasing demand for food while also ensuring sustainable development. Traditional agricultural methods are not equipped to meet the demands of the modern world. To overcome these challenges, the Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture provides an in-depth analysis of the opportunities and challenges for AI-powered management tools and IoT-equipped techniques for the high-tech agricultural ecosystem. The Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture explores advanced methodologies, models, techniques, technologies, and applications along with the con...
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2024), held at London Metropolitan University, London, UK, during June 2024. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into six volumes.
The New Digital Era's two volumes highlight the new social and economic policies that are needed to balance the effects on social and economic life and prevent possible conflicts between individuals and societies in the wake of the COVID-19 pandemic and digitalisation.
This book presents selected papers from International Conference on Artificial Intelligence and Networks (ICAIN 2024), held on 24 – 25 September 2024, in Guru Tegh Bahadur Institute of Technology (GTBIT), GGSIPU, Delhi, India. The topics covered in the book are deep learning, machine learning, natural language processing, data science and analytics, cybersecurity and privacy, cloud computing, and wireless and mobile networks.
This book includes selected peer-reviewed papers presented at fourth International Conference on Computing and Communication Networks (ICCCN 2024), held at Manchester Metropolitan University, UK, during 17–18 October 2024. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.
The integration of artificial intelligence (AI) into health and human-centric systems reshapes the way care, well-being, and social services are delivered. By leveraging AI technologies like machine learning, natural language processing, and computer vision, these systems can better understand, predict, and respond to human needs with accuracy and personalization. From improving diagnostics and patient outcomes in healthcare to enhancing accessibility and support in public services, AI offers tools for creating more responsive, equitable systems. Its usage raises questions around ethics, privacy, and the preservation of human agency. Further research into the balance between technological ad...
"This book aims to remove silos in disciplines and industries by capturing the possibilities of STEM (science, technology, engineering, and mathematics) insight creation integrated with human-driven design principles"-- Provided by publisher.