Reshaping Environmental Science Through Machine Learning And Iot

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Reshaping Environmental Science Through Machine Learning and IoT

Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Pateriya, Rajesh Kumar
Reshaping Environmental Science Through Machine Learning and IoT Book PDF

Author : Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Pateriya, Rajesh Kumar
Publisher : IGI Global
Page : 459 pages
File Size : 46,7 Mb
Release : 2024-05-06
Category : Technology & Engineering
ISBN : 9798369323526

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Reshaping Environmental Science Through Machine Learning and IoT by Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Pateriya, Rajesh Kumar Pdf

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).

Machine Learning for Ecology and Sustainable Natural Resource Management

Grant Humphries,Dawn R. Magness,Falk Huettmann
Machine Learning for Ecology and Sustainable Natural Resource Management Book PDF

Author : Grant Humphries,Dawn R. Magness,Falk Huettmann
Publisher : Springer
Page : 441 pages
File Size : 48,6 Mb
Release : 2018-11-05
Category : Science
ISBN : 9783319969787

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Machine Learning for Ecology and Sustainable Natural Resource Management by Grant Humphries,Dawn R. Magness,Falk Huettmann Pdf

Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology, digitization, online data availability, historic legacy datasets, remote sensors and the ability to collect data on animal movements via satellite and GPS have given rise to large, highly complex datasets. These datasets could be utilized for making critical management decisions, but are often “messy” and difficult to interpret. Basic artificial intelligence algorithms (i.e., machine learning) are powerful tools that are shaping the world and must be taken advantage of in the life sciences. In ecology, machine learning algorithms are critical to helping resource managers synthesize information to better understand complex ecological systems. Machine Learning has a wide variety of powerful applications, with three general uses that are of particular interest to ecologists: (1) data exploration to gain system knowledge and generate new hypotheses, (2) predicting ecological patterns in space and time, and (3) pattern recognition for ecological sampling. Machine learning can be used to make predictive assessments even when relationships between variables are poorly understood. When traditional techniques fail to capture the relationship between variables, effective use of machine learning can unearth and capture previously unattainable insights into an ecosystem's complexity. Currently, many ecologists do not utilize machine learning as a part of the scientific process. This volume highlights how machine learning techniques can complement the traditional methodologies currently applied in this field.

Machine Learning Methods in the Environmental Sciences

William W. Hsieh
Machine Learning Methods in the Environmental Sciences Book PDF

Author : William W. Hsieh
Publisher : Cambridge University Press
Page : 364 pages
File Size : 40,9 Mb
Release : 2009-07-30
Category : Computers
ISBN : 9780521791922

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Machine Learning Methods in the Environmental Sciences by William W. Hsieh Pdf

A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.

Key Digital Trends Shaping the Future of Information and Management Science

Lalit Garg,Dilip Singh Sisodia,Nishtha Kesswani,Joseph G. Vella,Imene Brigui,Sanjay Misra,Deepak Singh
Key Digital Trends Shaping the Future of Information and Management Science Book PDF

Author : Lalit Garg,Dilip Singh Sisodia,Nishtha Kesswani,Joseph G. Vella,Imene Brigui,Sanjay Misra,Deepak Singh
Publisher : Springer Nature
Page : 640 pages
File Size : 41,7 Mb
Release : 2023-05-15
Category : Technology & Engineering
ISBN : 9783031311536

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Key Digital Trends Shaping the Future of Information and Management Science by Lalit Garg,Dilip Singh Sisodia,Nishtha Kesswani,Joseph G. Vella,Imene Brigui,Sanjay Misra,Deepak Singh Pdf

This book (proceedings of ISMS 2022) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field. The book introduces concepts, principles, methods, and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems, and working with management professionals in implementing new information systems.

IoT and Smart Devices for Sustainable Environment

Mourade Azrour,Azeem Irshad,Rajasekhar Chaganti
IoT and Smart Devices for Sustainable Environment Book PDF

Author : Mourade Azrour,Azeem Irshad,Rajasekhar Chaganti
Publisher : Springer
Page : 0 pages
File Size : 52,7 Mb
Release : 2023-02-04
Category : Technology & Engineering
ISBN : 3030900851

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IoT and Smart Devices for Sustainable Environment by Mourade Azrour,Azeem Irshad,Rajasekhar Chaganti Pdf

This book presents research related to smart devices and Internet of Things (IoT) that are intended to advance environmental sustainability. With sustainability as the focus, the topics covered include designing and controlling of smart systems, networking and machine learning, monitoring and controlling the environment, smart metering, authentication and authorization, and software and systems solution. The authors discuss how IoT can aid in sustainability through its implementation of systems interconnecting several objects, whether in the physical or in the virtual worlds. The chapters also present several applications including in smart homes, transportation, and healthcare. The book pertains to researchers, academics, and professionals.

Artificial Intelligence Methods in the Environmental Sciences

Sue Ellen Haupt,Antonello Pasini,Caren Marzban
Artificial Intelligence Methods in the Environmental Sciences Book PDF

Author : Sue Ellen Haupt,Antonello Pasini,Caren Marzban
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 51,6 Mb
Release : 2008-11-28
Category : Science
ISBN : 9781402091193

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Artificial Intelligence Methods in the Environmental Sciences by Sue Ellen Haupt,Antonello Pasini,Caren Marzban Pdf

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Innovations in Machine Learning and IoT for Water Management

Kumar, Abhishek,Srivastav, Arun Lal,Dubey, Ashutosh Kumar,Dutt, Vishal,Vyas, Narayan
Innovations in Machine Learning and IoT for Water Management Book PDF

Author : Kumar, Abhishek,Srivastav, Arun Lal,Dubey, Ashutosh Kumar,Dutt, Vishal,Vyas, Narayan
Publisher : IGI Global
Page : 331 pages
File Size : 41,8 Mb
Release : 2023-11-27
Category : Computers
ISBN : 9798369311950

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Innovations in Machine Learning and IoT for Water Management by Kumar, Abhishek,Srivastav, Arun Lal,Dubey, Ashutosh Kumar,Dutt, Vishal,Vyas, Narayan Pdf

Water, our planet's life force, faces multiple challenges in the 21st century, including surging global demand, shifting climate patterns, and the urgent need for sustainable management. Guidance, knowledge, and hope is sharply needed in academia and technology industries, and Innovations in Machine Learning and IoT for Water Management is a formidable resource to provide these necessities. This book delves into the dynamic synergy of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT), ushering in a new era of water resource stewardship. This book embarks on a journey through the frontiers of AI and IoT, unveiling their transformative impact on water management. From the vantage point of satellite imagery analysis, it scrutinizes the Earth's vital signs, unlocking crucial insights into water resources. It chronicles the rise of AI-powered predictive analytics, a revolutionary force propelling precision water usage and conservation. This book explains how IoT can be an effective tool to increase intelligence of our water systems. The book meticulously navigates through domains as diverse as aquifer monitoring, hydropower generation optimization, and predictive analytics for water consumption. This book caters to a diverse audience, from water management experts and environmental scientists to data science aficionados and IoT enthusiasts. Engineers seeking to reimagine the future of water systems, technology enthusiasts eager to delve into AI's potential, and individuals impassioned by preserving water will all find a well-needed resource in these pages.

How the Metaverse Will Reshape Business and Sustainability

Rim El Khoury,Bahaaeddin Alareeni
How the Metaverse Will Reshape Business and Sustainability Book PDF

Author : Rim El Khoury,Bahaaeddin Alareeni
Publisher : Springer Nature
Page : 203 pages
File Size : 42,5 Mb
Release : 2023-09-16
Category : Science
ISBN : 9789819951260

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How the Metaverse Will Reshape Business and Sustainability by Rim El Khoury,Bahaaeddin Alareeni Pdf

Sustainability is part of every aspect of our life, with climate concerns shaping the future. Thus, it is important to understand how metaverse will affect sustainability, as it is opening both challenges and opportunities for environmental sustainability. On the one side, replacing real-world interactions with 3D virtual and exchanging physical goods with digital ones are significantly less resource-intensive and more carbon-efficient. Therefore, this holds the promise of reducing the environmental pollution. On the other side, metaverse increases e-waste and energy consumption. Given this controversial impact, it is crucial for businesses and researchers to understand how to ensure that the metaverse develops sustainably. This book is popping out several questions: Do businesses understand the metaverse concept and perceive the benefits and advantages of implementing such technologies? How will the metaverse change business? Will metaverse change our working place and skills needed? How can companies get ahead of the change and mold it to their advantage? Will businesses use metaverse? Can metaverse create a more sustainable word? How can we make the metaverse better than what we have now? Is it going to affect environmental sustainability? Will it cause more severe climate problems, or would it be the solution? How can metaverse impact the achievements of SDGs?

Artificial Intelligence and Data Science in Environmental Sensing

Mohsen Asadnia,Amir Razmjou,Amin Beheshti
Artificial Intelligence and Data Science in Environmental Sensing Book PDF

Author : Mohsen Asadnia,Amir Razmjou,Amin Beheshti
Publisher : Academic Press
Page : 326 pages
File Size : 48,8 Mb
Release : 2022-02-09
Category : Computers
ISBN : 9780323905077

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Artificial Intelligence and Data Science in Environmental Sensing by Mohsen Asadnia,Amir Razmjou,Amin Beheshti Pdf

Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications. Presents tools, connections and proactive solutions to take sustainability programs to the next level Offers a practical guide for making students proficient in modern electronic data analysis and graphics Provides knowledge and background to develop specific platforms related to environmental sensing, including control water, air and soil quality, water and wastewater treatment, desalination, pollution mitigation/control, and resource management and recovery

Green Internet of Things and Machine Learning

Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu
Green Internet of Things and Machine Learning Book PDF

Author : Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu
Publisher : John Wiley & Sons
Page : 279 pages
File Size : 45,8 Mb
Release : 2022-01-10
Category : Computers
ISBN : 9781119793120

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Green Internet of Things and Machine Learning by Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu Pdf

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.

Deep Learning for Hydrometeorology and Environmental Science

Taesam Lee,Vijay P. Singh,Kyung Hwa Cho
Deep Learning for Hydrometeorology and Environmental Science Book PDF

Author : Taesam Lee,Vijay P. Singh,Kyung Hwa Cho
Publisher : Springer Nature
Page : 215 pages
File Size : 50,8 Mb
Release : 2021-01-27
Category : Science
ISBN : 9783030647773

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Deep Learning for Hydrometeorology and Environmental Science by Taesam Lee,Vijay P. Singh,Kyung Hwa Cho Pdf

This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.

Using Traditional Design Methods to Enhance AI-Driven Decision Making

Nguyen, Tien V. T.,Vo, Nhut T. M.
Using Traditional Design Methods to Enhance AI Driven Decision Making Book PDF

Author : Nguyen, Tien V. T.,Vo, Nhut T. M.
Publisher : IGI Global
Page : 528 pages
File Size : 40,9 Mb
Release : 2024-01-10
Category : Computers
ISBN : 9798369306406

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Using Traditional Design Methods to Enhance AI-Driven Decision Making by Nguyen, Tien V. T.,Vo, Nhut T. M. Pdf

In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.

The Shaping of Ambient Intelligence and the Internet of Things

Simon Elias Bibri
The Shaping of Ambient Intelligence and the Internet of Things Book PDF

Author : Simon Elias Bibri
Publisher : Springer
Page : 301 pages
File Size : 54,6 Mb
Release : 2015-11-05
Category : Computers
ISBN : 9789462391420

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The Shaping of Ambient Intelligence and the Internet of Things by Simon Elias Bibri Pdf

Recent advances in ICT have given rise to new socially disruptive technologies: AmI and the IoT, marking a major technological change which may lead to a drastic transformation of the technological ecosystem in all its complexity, as well as to a major alteration in technology use and thus daily living. Yet no work has systematically explored AmI and the IoT as advances in science and technology (S&T) and sociotechnical visions in light of their nature, underpinning, and practices along with their implications for individual and social wellbeing and for environmental health. AmI and the IoT raise new sets of questions: In what way can we conceptualize such technologies? How can we evaluate their benefits and risks? How should science–based technology and society’s politics relate? Are science-based technology and society converging in new ways? It is with such questions that this book is concerned. Positioned within the research field of Science and Technology Studies (STS), which encourages analyses whose approaches are drawn from a variety of disciplinary perspectives, this book amalgamates an investigation of AmI and the IoT technologies based on a unique approach to cross–disciplinary integration; their ethical, social, cultural, political, and environmental effects; and a philosophical analysis and evaluation of the implications of such effects. An interdisciplinary approach is indeed necessary to understand the complex issue of scientific and technological innovations that S&T are not the only driving forces of the modern, high–tech society, as well as to respond holistically, knowledgeably, reflectively, and critically to the most pressing issues and significant challenges of the modern world. This book is the first systematic study on how AmI and the IoT applications of scientific discovery link up with other developments in the spheres of the European society, including culture, politics, policy, ethics and ecological philosophy. It situates AmI and the IoT developments and innovations as modernist science–based technology enterprises in a volatile and tense relationship with an inherently contingent, heterogeneous, fractured, conflictual, plural, and reflexive postmodern social world. The issue’s topicality results in a book of interest to a wide readership in science, industry, politics, and policymaking, as well as of recommendation to anyone interested in learning the sociology, philosophy, and history of AmI and the IoT technologies, or to those who would like to better understand some of the ethical, environmental, social, cultural, and political dilemmas to what has been labeled the technologies of the 21st century.

Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future

Sudhir K. Sharma,Bharat Bhushan,Parma N. Astya,Narayan C. Debnath
Blockchain Applications for Secure IoT Frameworks Technologies Shaping the Future Book PDF

Author : Sudhir K. Sharma,Bharat Bhushan,Parma N. Astya,Narayan C. Debnath
Publisher : Bentham Science Publishers
Page : 296 pages
File Size : 49,7 Mb
Release : 2021-07-08
Category : Computers
ISBN : 9781681088631

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Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future by Sudhir K. Sharma,Bharat Bhushan,Parma N. Astya,Narayan C. Debnath Pdf

This reference presents information about different facets of IoT and blockchain systems that have been recently proposed for practical situations. Chapters provide knowledge about how these technologies are applied in functions related to trust management, identity management, security threats, access control and privacy. Key Features: - Introduces the reader to fundamental concepts of IoT and blockchain technology - reports advances in the field of IoT, ubiquitous computing and blockchain computing - includes the applications of different frameworks - explains the role of blockchains in improving IT security - provides examples of smart grids, data transmission models, digital business platforms, agronomics and big data solutions - Includes references for further reading Blockchain Applications for Secure IoT Frameworks Technologies Shaping the Future is a handy reference for information technology professionals and students who want updated information about applications of IoT and blockchains in secure operational and business processes.

Introduction to Environmental Data Science

William W. Hsieh
Introduction to Environmental Data Science Book PDF

Author : William W. Hsieh
Publisher : Cambridge University Press
Page : 649 pages
File Size : 44,5 Mb
Release : 2023-03-31
Category : Computers
ISBN : 9781107065550

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Introduction to Environmental Data Science by William W. Hsieh Pdf

A comprehensive guide to machine learning and statistics for students and researchers of environmental data science.