AI-Powered IoT in the Energy Industry

Download AI-Powered IoT in the Energy Industry PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3031150449
Total Pages : 318 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!


Book Synopsis AI-Powered IoT in the Energy Industry by : S. Vijayalakshmi

Download or read book AI-Powered IoT in the Energy Industry written by S. Vijayalakshmi and published by Springer Nature. This book was released on 2023-04-05 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. ​Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.

Applications of AI and IOT in Renewable Energy

Download Applications of AI and IOT in Renewable Energy PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0323984010
Total Pages : 248 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!


Book Synopsis Applications of AI and IOT in Renewable Energy by : Rabindra Nath Shaw

Download or read book Applications of AI and IOT in Renewable Energy written by Rabindra Nath Shaw and published by Academic Press. This book was released on 2022-02-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. - Includes future applications of AI and IOT in renewable energy - Based on case studies to give each chapter real-life context - Provides advances in renewable energy using AI and IOT with technical detail and data

AI-Driven IoT Systems for Industry 4.0

Download AI-Driven IoT Systems for Industry 4.0 PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1040041159
Total Pages : 419 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!


Book Synopsis AI-Driven IoT Systems for Industry 4.0 by : Deepa Jose

Download or read book AI-Driven IoT Systems for Industry 4.0 written by Deepa Jose and published by CRC Press. This book was released on 2024-07-30 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc. A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0. This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.

Artificial Intelligence and Internet of Things for Renewable Energy Systems

Download Artificial Intelligence and Internet of Things for Renewable Energy Systems PDF Online Free

Author :
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110714043
Total Pages : 318 pages
Book Rating : 4.1/5 (17 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence and Internet of Things for Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Artificial Intelligence and Internet of Things for Renewable Energy Systems written by Neeraj Priyadarshi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-11-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

Green AI-Powered Intelligent Systems for Disease Prognosis

Download Green AI-Powered Intelligent Systems for Disease Prognosis PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!


Book Synopsis Green AI-Powered Intelligent Systems for Disease Prognosis by : Khanna, Ashish

Download or read book Green AI-Powered Intelligent Systems for Disease Prognosis written by Khanna, Ashish and published by IGI Global. This book was released on 2024-08-23 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.

AI Applications for Clean Energy and Sustainability

Download AI Applications for Clean Energy and Sustainability PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 485 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!


Book Synopsis AI Applications for Clean Energy and Sustainability by : Riswandi, Budi Agus

Download or read book AI Applications for Clean Energy and Sustainability written by Riswandi, Budi Agus and published by IGI Global. This book was released on 2024-08-16 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future.

Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid

Download Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!


Book Synopsis Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid by : Hazra, Sunanda

Download or read book Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid written by Hazra, Sunanda and published by IGI Global. This book was released on 2024-07-17 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid is a comprehensive guide that delves into the intricate world of renewable energy integration and its impact on electrical systems. With the current global energy crisis and the urgent need to address climate change, this book explores the latest advancements and research surrounding optimization techniques in the realm of renewable energy. This book has a focus on nature-inspired and meta-heuristic optimization methods, and it demonstrates how these techniques have revolutionized renewable energy problem-solving and their application in real-world scenarios. It examines the challenges and opportunities in achieving a larger utilization of renewable energy sources to reduce carbon emissions and air pollutants while meeting renewable portfolio standards and enhancing energy efficiency. This book serves as a valuable resource for researchers, academicians, industry delegates, scientists, and final-year master's degree students. It covers a wide range of topics, including novel power generation technology, advanced energy conversion systems, low-carbon technology in power generation and smart grids, AI-based control strategies, data analytics, electrified transportation infrastructure, and grid-interactive building infrastructure.

AI-Powered IoT for COVID-19

Download AI-Powered IoT for COVID-19 PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1000298043
Total Pages : 152 pages
Book Rating : 4.0/5 (2 download)

DOWNLOAD NOW!


Book Synopsis AI-Powered IoT for COVID-19 by : Fadi Al-Turjman

Download or read book AI-Powered IoT for COVID-19 written by Fadi Al-Turjman and published by CRC Press. This book was released on 2020-12-11 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) has made revolutionary advances in the utility grid as we know it. Among these advances, intelligent medical services are gaining much interest. The use of Artificial Intelligence (AI) is increasing day after day in fighting one of the most significant viruses, COVID-19. The purpose of this book is to present the detailed recent exploration of AI and IoT in the COVID-19 pandemic and similar applications. The integrated AI and IoT paradigm is widely used in most medical applications, as well as in sectors that deal with transacting data every day. This book can be used by computer science undergraduate and postgraduate students; researchers and practitioners; and city administrators, policy makers, and government regulators. It presents a smart and up-to-date model for COVID-19 and similar applications. Novel architectural and medical use cases in the smart city project are the core aspects of this book. The wide variety of topics it presents offers readers multiple perspectives on a variety of disciplines. Prof. Dr. Fadi Al-Turjman received his PhD in computer science from Queen’s University, Kingston, Ontario, Canada, in 2011. He is a full professor and research center director at Near East University, Nicosia, Cyprus.

Advances in Artificial Intelligence

Download Advances in Artificial Intelligence PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 0443153922
Total Pages : 632 pages
Book Rating : 4.4/5 (431 download)

DOWNLOAD NOW!


Book Synopsis Advances in Artificial Intelligence by : Kunal Pal

Download or read book Advances in Artificial Intelligence written by Kunal Pal and published by Elsevier. This book was released on 2024-05-21 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in health care has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals such as electrocardiogram (ECG/ EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, nerve conduction, etc., and for bio-imaging modalities, such as Computed Tomography (CT), Cone-Beam Computed Tomography (CBCT), MRI (Magnetic Resonance Imaging), etc. Advancements in Artificial intelligence and big data has increased the development of innovative medical devices in health care applications. Recent Advances in Artificial Intelligence: Medical Applications provides an overview of artificial intelligence in biomedical applications including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in biomedical field including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, as well as develop AI-based medical devices. - Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used - Provides an understanding of the design of experiments to validate the developed algorithms - Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques

Green Internet of Things and Machine Learning

Download Green Internet of Things and Machine Learning PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119793122
Total Pages : 279 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!


Book Synopsis Green Internet of Things and Machine Learning by : Roshani Raut

Download or read book Green Internet of Things and Machine Learning written by Roshani Raut and published by John Wiley & Sons. This book was released on 2022-01-10 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.

AI-Driven Digital Twin and Industry 4.0

Download AI-Driven Digital Twin and Industry 4.0 PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1040041132
Total Pages : 339 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!


Book Synopsis AI-Driven Digital Twin and Industry 4.0 by : Sita Rani

Download or read book AI-Driven Digital Twin and Industry 4.0 written by Sita Rani and published by CRC Press. This book was released on 2024-06-19 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments. AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances. This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Download Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0323914284
Total Pages : 418 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!


Book Synopsis Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies by : Krishna Kumar

Download or read book Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies written by Krishna Kumar and published by Academic Press. This book was released on 2022-03-18 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. - Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment - Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum - Addresses the advanced field of renewable generation, from research, impact and idea development of new applications

The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry

Download The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119985609
Total Pages : 516 pages
Book Rating : 4.1/5 (199 download)

DOWNLOAD NOW!


Book Synopsis The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry by : Pethuru Raj Chelliah

Download or read book The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry written by Pethuru Raj Chelliah and published by John Wiley & Sons. This book was released on 2023-12-04 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.

Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

Download Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1000933997
Total Pages : 201 pages
Book Rating : 4.0/5 (9 download)

DOWNLOAD NOW!


Book Synopsis Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things by : Arpit Jain

Download or read book Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things written by Arpit Jain and published by CRC Press. This book was released on 2023-09-15 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy. Focuses on the integration of smart technology including artificial intelligence and sustainable energy Covers recent advancements in energy management techniques used in residential and commercial energy systems Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

Sustainable and Green Technologies for Water and Environmental Management

Download Sustainable and Green Technologies for Water and Environmental Management PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3031524195
Total Pages : 275 pages
Book Rating : 4.0/5 (315 download)

DOWNLOAD NOW!


Book Synopsis Sustainable and Green Technologies for Water and Environmental Management by : Mourade Azrour

Download or read book Sustainable and Green Technologies for Water and Environmental Management written by Mourade Azrour and published by Springer Nature. This book was released on with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Utilizing Technology to Manage Territories

Download Utilizing Technology to Manage Territories PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 614 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!


Book Synopsis Utilizing Technology to Manage Territories by : Alla, Lhoussaine

Download or read book Utilizing Technology to Manage Territories written by Alla, Lhoussaine and published by IGI Global. This book was released on 2024-10-24 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quest for attractiveness and sustainability is a pressing concern for territories in the 21st century. Cities, regions, and local communities must rethink their management and development strategies to address complex environmental, social, and economic challenges. "Territorial Smart Management" has emerged as an innovative approach that leverages technologies like artificial intelligence, the Internet of Things, and blockchain to create more efficient, attractive, and sustainable territories. Understanding how these technologies can transform territorial management, optimize resources, and foster collaboration to tackle contemporary challenges like urbanization, climate change, and competitiveness is essential for modern planning. Utilizing Technology to Manage Territories provides practical tools, case studies, and best practices for applying smart management solutions to improve operational efficiency and socio-economic inclusion. This volume offers valuable insights for those seeking to navigate the future of smart and sustainable territorial management, making it an essential resource for researchers, policymakers, consultants, technology developers, and students.

Exploring Ethical Dimensions of Environmental Sustainability and Use of AI

Download Exploring Ethical Dimensions of Environmental Sustainability and Use of AI PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 447 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!


Book Synopsis Exploring Ethical Dimensions of Environmental Sustainability and Use of AI by : Kannan, Hemachandran

Download or read book Exploring Ethical Dimensions of Environmental Sustainability and Use of AI written by Kannan, Hemachandran and published by IGI Global. This book was released on 2023-12-07 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Ethical Dimensions of Environmental Sustainability and Use of AI is a comprehensive and insightful book that delves into the ethical implications and challenges that emerge at the intersection of environmental sustainability and the utilization of artificial intelligence (AI). With a focus on key ethical dimensions such as transparency, equity, privacy, autonomy, unintended consequences, and trade-offs, this book aims to provide a thorough understanding of the responsible deployment and development of AI in the realm of environmental sustainability. By addressing the ethical aspects and challenges involved, this book contributes to the development of ethical guidelines and frameworks that align AI technologies with the vision of a sustainable and equitable future. Researchers will find immense value in this book as it offers a holistic exploration of the ethical implications, filling a critical gap in the existing literature. Policymakers can gain valuable insights to inform the creation of ethical guidelines and regulations governing AI use in sustainable initiatives. Practitioners, including professionals working in environmental organizations or technology companies, will acquire practical knowledge to guide their decision-making and implementation of AI-driven solutions.