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Author: Abdul Salam
Publisher: Springer Nature
ISBN: 303162162X
Category :
Languages : en
Pages : 403
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Book Description
Author: Abdul Salam
Publisher: Springer Nature
ISBN: 303162162X
Category :
Languages : en
Pages : 403
Get Book Here
Book Description
Author: Abdul Salam
Publisher: Springer Nature
ISBN: 3030352919
Category : Technology & Engineering
Languages : en
Pages : 347
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Book Description
This book covers how Internet of Things (IoT) has a role in shaping the future of our communities. The author shows how the research and education ecosystem promoting impactful solutions-oriented science can help citizenry, government, industry, and other stakeholders to work collaboratively in order to make informed, socially-responsible, science-based decisions. Accordingly, he shows how communities can address complex, interconnected socio-environmental challenges. This book addresses the key inter-related challenges in areas such as the environment, climate change, mining, energy, agro-economic, water, and forestry that are limiting the development of a sustainable and resilient society -- each of these challenges are tied back to IoT based solutions. Presents research into sustainable IoT with respect to wireless communications, sensing, and systems Provides coverage of IoT technologies in sustainability, health, agriculture, climate change, mining, energy, water management, and forestry Relevant for academics, researchers, policy makers, city planners and managers, technicians, and industry professionals in IoT and sustainability
Author: Wei Song
Publisher: Springer Nature
ISBN: 303059615X
Category : Computers
Languages : en
Pages : 174
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Book Description
This book constitutes the proceedings of the International Conference on Internet of Things, ICIOT 2020, held virtually as part of SCF 2020, in Honolulu, HI, USA, in September 2020. The 8 full and 4 short papers presented in this volume were carefully reviewed and selected from 20 submissions. The conference Internet of Things (ICIOT 2020) covers state-of-the-art technologies and best practices of Internet of Things, as well as emerging standards and research topics which would define the future of Internet of Things.
Author: Abdul Salam
Publisher: Springer Nature
ISBN: 3031481097
Category : Technology & Engineering
Languages : en
Pages : 144
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Book Description
This multidisciplinary book provides insights into the applications of the Internet of Things (IoT) to combined sewer overflows (CSO) and stormwater management (SWM) systems. It explores technical challenges and presents recent results to improve sewer and drainage system management using wireless underground communications and sensing in IoT. The book addresses both existing sensing network technologies and those currently in development in three major areas of CSO: combined sewer overflow management, subsurface sensing, and antennas in the layered medium. It explores new applications of IoT in sewer systems to improve public health, foster economic growth, and enhance environmental quality and responsibility for the community. Internet of Things in Smart Sewer and Drainage Systems: Theory and Applications will be a valuable reference for graduate students and academic researchers, as well as a hands-on guide for wastewater technicians, sanitary engineers, environmental specialists, and related industry practitioners.
Author: Abdul Salam
Publisher: Springer Nature
ISBN: 3030508617
Category : Technology & Engineering
Languages : en
Pages : 435
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Book Description
This book provides an in-depth coverage of the most recent developments in the field of wireless underground communications, from both theoretical and practical perspectives. The authors identify technical challenges and discuss recent results related to improvements in wireless underground communications and soil sensing in Internet of Underground Things (IOUT). The book covers both existing network technologies and those currently in development in three major areas of SitS: wireless underground communications, subsurface sensing, and antennas in the soil medium. The authors explore novel applications of Internet of Underground Things in digital agriculture and autonomous irrigation management domains. The book is relevant to wireless researchers, academics, students, and decision agriculture professionals. The contents of the book are arranged in a comprehensive and easily accessible format. Focuses on fundamental issues of wireless underground communication and subsurface sensing; Includes advanced treatment of IOUT custom applications of variable-rate technologies in the field of decision agriculture, and covers protocol design and wireless underground channel modeling; Provides a detailed set of path loss, antenna, and wireless underground channel measurements in various novel Signals in the Soil (SitS) testbed settings.
Author: Mourade Azrour
Publisher: Springer Nature
ISBN: 303170102X
Category :
Languages : en
Pages : 315
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Book Description
Author: Byunghun Lee
Publisher: MDPI
ISBN: 3036507825
Category : Technology & Engineering
Languages : en
Pages : 344
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Book Description
This book focuses on emerging wireless power/data and energy harvesting technologies, and highlights their fundamental requirements, followed by recent advancements. It provides a various technical overview and analysis of key techniques for wireless power/data and energy harvesting system design. The state-of-the-art system introduced in this book will benefit designers looking to develop wireless power transfer and energy harvesting technologies in a variety of fields, such as wearable, implantable devices, home appliances, and electric vehicles.
Author: Bharat Bhushan
Publisher: Springer Nature
ISBN: 9819936683
Category : Technology & Engineering
Languages : en
Pages : 311
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Book Description
This open-access book aims to highlight the coming surge of 5G network-based applications and predicts that the centralized networks and their current capacity will be incapable of meeting the demands. The book emphasizes the benefits and challenges associated with the integration of 5G networks with varied applications. Further, the book gathers and investigates the most recent 5G-based research solutions that handle security and privacy threats while considering resource-constrained wireless devices. The information, applications, and recent advances discussed in this book will serve to be of immense help to practitioners, database professionals, and researchers.
Author: Irfan, Mohammad
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 314
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Book Description
In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges. Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments.
Author: Gupta, Rajeev Kumar
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 459
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Book Description
In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).
