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| artificial intelligence in waste management: IoT-Based Smart Waste Management for Environmental Sustainability Biswaranjan Acharya, Satarupa Dey, Mohammed Zidan, 2022-06-13 This book consolidates and summarizes smart technologies like IoT, edge computing, and AI used in different aspects of waste material management, mitigation, and recycling for a sustainable environment. One of the cases explains how IoT-based systems and wireless sensors can be used to continuously detect common pollutants such as volatile organic compounds (VOCs), carbon monoxide, and particulate matter (PM) and how the data collected are used to assess the overall air quality and determine actions for improvements. A collection of practical case studies, this book provides a comprehensive knowledge in smart waste management to readers in universities, research centers, and industries. |
| artificial intelligence in waste management: Intelligence Systems in Environmental Management: Theory and Applications Cengiz Kahraman, İrem Uçal Sari, 2016-09-03 This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments. |
| artificial intelligence in waste management: Waste Management: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2019-12-06 As the world’s population continues to grow and economic conditions continue to improve, more solid and liquid waste is being generated by society. Improper disposal methods can not only lead to harmful environmental impacts but can also negatively affect human health. To prevent further harm to the world’s ecosystems, there is a dire need for sustainable waste management practices that will safeguard the environment for future generations. Waste Management: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines the management of different types of wastes and provides relevant theoretical frameworks about new waste management technologies for the control of air, water, and soil pollution. Highlighting a range of topics such as contaminant removal, landfill treatment, and recycling, this multi-volume book is ideally designed for environmental engineers, waste authorities, solid waste management companies, landfill operators, legislators, environmentalists, policymakers, government officials, academicians, researchers, and students. |
| artificial intelligence in waste management: Industry 4.0 and Circular Economy Antonis Mavropoulos, Anders Waage Nilsen, 2020-11-17 How the marriage of Industry 4.0 and the Circular Economy can radically transform waste management—and our world Do we really have to make a choice between a wasteless and nonproductive world or a wasteful and ultimately self-destructive one? Futurist and world-renowned waste management scientist Antonis Mavropoulos and sustainable business developer and digital strategist Anders Nilsen respond with a ringing and optimistic “No!” They explore the Earth-changing potential of a happy (and wasteless) marriage between Industry 4.0 and a Circular Economy that could—with properly reshaped waste management practices—deliver transformative environmental, health, and societal benefits. This book is about the possibility of a brand-new world and the challenges to achieve it. The fourth industrial revolution has given us innovations including robotics, artificial intelligence, 3D-printing, and biotech. By using these technologies to advance the Circular Economy—where industry produces more durable materials and runs on its own byproducts—the waste management industry will become a central element of a more sustainable world and can ensure its own, but well beyond business as usual, future. Mavropoulos and Nilsen look at how this can be achieved—a wasteless world will require more waste management—and examine obstacles and opportunities such as demographics, urbanization, global warming, and the environmental strain caused by the rise of the global middle class. · Explore the new prevention, reduction, and elimination methods transforming waste management · Comprehend and capitalize on the business implications for the sector · Understand the theory via practical examples and case studies · Appreciate the social benefits of the new approach Waste-management has always been vital for the protection of health and the environment. Now it can become a crucial role model in showing how Industry 4.0 and the Circular Economy can converge to ensure flourishing, sustainable—and much brighter—future. |
| artificial intelligence in waste management: Innovative Waste Management Technologies for Sustainable Development Bhat, Rouf Ahmad, Qadri, Humaira, Wani, Khursheed Ahmad, Dar, Gowhar Hamid, Mehmood, Mohammad Aneesul, 2019-08-30 A rapidly growing population, industrialization, modernization, luxury life style, and overall urbanization are associated with the generation of enhanced wastes. The inadequate management of the ever-growing amount of waste has degraded the quality of the natural resources on a regional, state, and country basis, and consequently threatens public health as well as global environmental security. Therefore, there is an existent demand for the improvement of sustainable, efficient, and low-cost technologies to monitor and properly manage the huge quantities of waste and convert these wastes into energy sources. Innovative Waste Management Technologies for Sustainable Development is an essential reference source that discusses management of different types of wastes and provides relevant theoretical frameworks about new waste management technologies for the control of air, water, and soil pollution. This publication also explores the innovative concept of waste-to-energy and its application in safeguarding the environment. Featuring research on topics such as pollution management, vermicomposting, and crude dumping, this book is ideally designed for environmentalists, policymakers, professionals, researchers, scientists, industrialists, and environmental agencies. |
| artificial intelligence in waste management: Expert Clouds and Applications I. Jeena Jacob, Francisco M. Gonzalez-Longatt, Selvanayaki Kolandapalayam Shanmugam, Ivan Izonin, 2021-07-15 This book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies. |
| artificial intelligence in waste management: Vehicle Routing Paolo Toth, Daniele Vigo, 2014-12-05 Vehicle routing problems, among the most studied in combinatorial optimization, arise in many practical contexts (freight distribution and collection, transportation, garbage collection, newspaper delivery, etc.). Operations researchers have made significant developments in the algorithms for their solution, and Vehicle Routing: Problems, Methods, and Applications, Second Edition reflects these advances. The text of the new edition is either completely new or significantly revised and provides extensive and complete state-of-the-art coverage of vehicle routing by those who have done most of the innovative research in the area; it emphasizes methodology related to specific classes of vehicle routing problems and, since vehicle routing is used as a benchmark for all new solution techniques, contains a complete overview of current solutions to combinatorial optimization problems. It also includes several chapters on important and emerging applications, such as disaster relief and green vehicle routing. |
| artificial intelligence in waste management: Solid Waste Technology and Management Thomas Christensen, 2011-08-02 The collection, transportation and subsequent processing of waste materials is a vast field of study which incorporates technical, social, legal, economic, environmental and regulatory issues. Common waste management practices include landfilling, biological treatment, incineration, and recycling – all boasting advantages and disadvantages. Waste management has changed significantly over the past ten years, with an increased focus on integrated waste management and life-cycle assessment (LCA), with the aim of reducing the reliance on landfill with its obvious environmental concerns in favour of greener solutions. With contributions from more than seventy internationally known experts presented in two volumes and backed by the International Waste Working Group and the International Solid Waste Association, detailed chapters cover: Waste Generation and Characterization Life Cycle Assessment of Waste Management Systems Waste Minimization Material Recycling Waste Collection Mechanical Treatment and Separation Thermal Treatment Biological Treatment Landfilling Special and Hazardous Waste Solid Waste Technology & Management is a balanced and detailed account of all aspects of municipal solid waste management, treatment and disposal, covering both engineering and management aspects with an overarching emphasis on the life-cycle approach. |
| artificial intelligence in waste management: Integrated Solid Waste Management: A Lifecycle Inventory P.R. White, M. Franke, P. Hindle, 2012-12-06 Life is often considered to be a journey. The lifecycle of waste can similarly be considered to be a journey from the cradle (when an item becomes valueless and, usually, is placed in the dustbin) to the grave (when value is restored by creating usable material or energy; or the waste is transformed into emissions to water or air, or into inert material placed in a landfill). This preface provides a route map for the journey the reader of this book will undertake. Who? Who are the intended readers of this book? Waste managers (whether in public service or private companies) will find a holistic approach for improving the environmental quality and the economic cost of managing waste. The book contains general principles based on cutting edge experience being developed across Europe. Detailed data and a computer model will enable operations managers to develop data-based improvements to their systems. Producers oj waste will be better able to understand how their actions can influence the operation of environmentally improved waste management systems. Designers oj products and packages will be better able to understand how their design criteria can improve the compatibility of their product or package with developing, environmentally improved waste management systems. Waste data specialists (whether in laboratories, consultancies or environ mental managers of waste facilities) will see how the scope, quantity and quality of their data can be improved to help their colleagues design more effective waste management systems. |
| artificial intelligence in waste management: Waste-to-Energy Technologies and Global Applications Efstratios N. Kalogirou, 2017-08-15 Through Waste-to-Energy (WtE) technology, plants use waste as a renewable fuel to co-produce electricity, heating, and cooling for urban utilization. This professional book presents the latest developments in WtE technologies and their global applications. The first part of the book covers thermal treatment technologies, including combustion, novel gasification, plasma gasification, and pyrolysis. It then examines 35 real-world WtE case studies from around the world, analyzing technical information behind planning, execution, goals, and national strategies. Results through the years show the benefits of the technology through the life cycle of the products. The book also examines financial and environmental aspects. |
| artificial intelligence in waste management: Waste Treatment and Disposal Paul T. Williams, 2013-04-30 Following on from the successful first edition of Waste Treatment & Disposal, this second edition has been completely updated, and provides comprehensive coverage of waste process engineering and disposal methodologies. Concentrating on the range of technologies available for household and commercial waste, it also presents readers with relevant legislative background material as boxed features. NEW to this edition: Increased coverage of re-use and recycling Updating of the usage of different waste treatment technologies Increased coverage of new and emerging technologies for waste treatment and disposal A broader global perspective with a focus on comparative international material on waste treatment uptake and waste management policies |
| artificial intelligence in waste management: Sustainable Solid Waste Management Ni-Bin Chang, Ana Pires, 2015-02-18 This book presents the application of system analysis techniques with case studies to help readers learn how the techniques can be applied, how the problems are solved, and which sustainable management strategies can be reached. |
| artificial intelligence in waste management: Handbook of Research on Water Sciences and Society Vaseashta, Ashok, Duca, Gheorghe, Travin, Sergey, 2022-03-11 Water supports three basic pillars of our life and survival: safety, security, and sustainability. Hence, it is extremely important to revisit the fundamental characteristics of water in order to discover additional information and the characteristics water has that will help uncover pathways to support the United Nations Sustainable Development Goals (UN SDG) to reduce inequality and make cities and human settlements more inclusive, safe, resilient, and sustainable. Clean water is a critical component to meet such goals. While the fundamental physical and chemical properties of water continue to reveal new aspects, it is critical that we review these properties in the context of several recent applications and by case studies. The Handbook of Research on Water Sciences and Society provides the basics of water science, ways to sense/detect and mitigate contaminants, several regional case studies, and societal aspects of water, including the human right to access water. The book serves as a comprehensive knowledge base on the latest fundamental and applied research and scientific innovations regarding the relationships between society and water resources, safe and sustainable use of water, watershed stewardship, industrial application, and public health awareness. Covering a wide range of topics, it is an ideal resource for researchers, professionals, policymakers, scientists, practitioners, instructors, and students. |
| artificial intelligence in waste management: Artificial Intelligence for Managers Malay A. Upadhyay, 2020-09-17 Understand how to adopt and implement AI in your organization Key Features _ 7 Principles of an AI Journey _ The TUSCANE Approach to Become Data Ready _ The FAB-4 Model to Choose the Right AI Solution _ Major AI Techniques & their Applications: - CART & Ensemble Learning - Clustering, Association Rules & Search - Reinforcement Learning - Natural Language Processing - Image Recognition Description Most AI initiatives in organizations fail today not because of a lack of good AI solutions, but because of a lack of understanding of AI among its end users, decision makers and investors. Today, organizations need managers who can leverage AI to solve business problems and provide a competitive advantage. This book is designed to enable you to fill that need, and create an edge for your career. The chapters offer unique managerial frameworks to guide an organization's AI journey. The first section looks at what AI is; and how you can prepare for it, decide when to use it, and avoid pitfalls on the way. The second section dives into the different AI techniques and shows you where to apply them in business. The final section then prepares you from a strategic AI leadership perspective to lead the future of organizations. By the end of the book, you will be ready to offer any organization the capability to use AI successfully and responsibly - a need that is fast becoming a necessity. What will you learn _ Understand the major AI techniques & how they are used in business. _ Determine which AI technique(s) can solve your business problem. _ Decide whether to build or buy an AI solution. _ Estimate the financial value of an AI solution or company. _ Frame a robust policy to guide the responsible use of AI. Who this book is for This book is for Executives, Managers and Students on both Business and Technical teams who would like to use Artificial Intelligence effectively to solve business problems or get an edge in their careers. Table of Contents 1.Preface 2.Acknowledgement 3.About the Author 4.Section 1: Beginning an AI Journey a. AI Fundamentals b. 7 Principles of an AI Journey c. Getting Ready to Use AI 5.Section 2: Choosing the Right AI Techniques a. Inside the AI Laboratory b. How AI Predicts Values & Categories c. How AI Understands and Predicts Behaviors & Scenarios d. How AI Communicates & Learns from Mistakes e. How AI Starts to Think Like Humans 6.Section 3: Using AI Successfully & Responsibly a. AI Adoption & Valuation b. AI Strategy, Policy & Risk Management 7.Epilogue |
| artificial intelligence in waste management: Artificial Intelligence and Environmental Sustainability Hui Lin Ong, Ruey-an Doong, Raouf Naguib, Chee Peng Lim, Atulya K. Nagar, 2022-04-29 The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered. |
| artificial intelligence in waste management: Advances in Waste Processing Technology Abu Zahrim Yaser, 2021-05-22 This book highlights the latest research on waste processing technologies, particularly for domestic, agricultural, and petroleum based pollutants, intended to achieve waste valorisation. In addition, it discusses the important role of plastic recycling, as well as advanced waste processing techniques. |
| artificial intelligence in waste management: Artificial Intelligence for Environmental Sustainability and Green Initiatives Aboul Ella Hassanien, |
| artificial intelligence in waste management: Best Practices in Urban Solid Waste Management Giulia Romano, Claudio Marciano, Maria Silvia Fiorelli, 2021-07-12 The book provides an overview of best practices in urban waste management in the zero waste framework, assuming a multidisciplinary perspective. By analysing exemplary cases of firms and local governments, significant ownership, governance, and performance issues are discussed, along with key drivers of sustainable urban waste management. |
| artificial intelligence in waste management: Human-Centered AI Ben Shneiderman, 2022 The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity. |
| artificial intelligence in waste management: Blockchain, Big Data and Machine Learning Neeraj Kumar, N. Gayathri, Md Arafatur Rahman, B. Balamurugan, 2020-09-24 Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation. |
| artificial intelligence in waste management: Waste Management in the Chemical and Petroleum Industries Alireza Bahadori, 2019-09-10 Unravels fundamental engineering for the treatment, recovery, and disposal of solid waste, sludge and wastewater in the petroleum, chemical, and unconventional oil and gas processing industries This new edition unravels essential requirements for the process design and engineering of the equipment and facilities pertaining to waste management for gas refineries, chemical plants, oil terminals, and petrochemical plants. Updated throughout, Waste Management in the Chemical and Petroleum Industries, Second Edition offers chapters on wastewater treatment; physical unit operations; chemical treatment; biological treatment; and wastewater treatment in unconventional oil and gas industries. It also covers wastewater sewer systems; sewage treatment; and solid waste treatment and disposal. New topics include: water pollution terminals the design procedure for effluent water pollution control spill prevention and control groundwater pollution control wastewater pollution control in crude oil terminals Information on the source of polymeric plants examination of water and wastewater radioactivity soil pollution pipeline leak consequence evaluation Waste Management in the Chemical and Petroleum Industries, Second Edition is an ideal text for researchers and advanced students in chemical, petroleum, and environmental fields, as well as for those in civil engineering. |
| artificial intelligence in waste management: Handbook of Research on Resource Management for Pollution and Waste Treatment Affam, Augustine Chioma, Ezechi, Ezerie Henry, 2019-10-25 It is necessary to understand the extent of pollution in the environment in terms of the air, water, and soil in order for both humans and animals to live healthier lives. Poor waste treatment or pollution monitoring can lead to massive environmental issues, such as diminishing valuable resources, and cause a significant negative impact on society. Solutions, such as reuse of waste and sustainable waste management, must be explored to prevent these adverse effects. The Handbook of Research on Resource Management for Pollution and Waste Treatment is a collection of innovative research that examines waste and pollution treatment methods that can be adopted at local and international levels and examines appropriate resource management strategies for environmentally related issues. Featuring coverage on a wide range of topics such as soil washing, bioremediation, and runoff handling, this book is ideally designed for environmentalists, engineers, waste management professionals, natural resource regulators, environmental policymakers, scientists, academicians, researchers, and students seeking current research on viable resource management methods for the regeneration of their immediate environment. |
| artificial intelligence in waste management: Artificial Intelligence Techniques for Sustainable Development Deepika Ghai, Kirti Rawal, Kanav Dhir, Suman Lata Tripathi, 2024-12-19 How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications. Key features: Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health Highlights the advancement in electronics and communication technology for green applications Covers smart energy harvesting/charging and power management techniques using machine learning Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change The book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering. |
| artificial intelligence in waste management: Research Anthology on Artificial Neural Network Applications Management Association, Information Resources, 2021-07-16 Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields. |
| artificial intelligence in waste management: Mechanism Design for Sustainability Zongwei Luo, 2013-03-12 This book provides advanced analytics and decision management techniques and tools for developing sustainable competitive advantages in the studied target context. In order to achieve sustainable economy, “the capacity to endure,” it is essential to understand and study the mechanisms for interactions and impact from and among these perspectives. |
| artificial intelligence in waste management: AI in the Wild Peter Dauvergne, 2020-09-15 Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability. |
| artificial intelligence in waste management: Electronic Waste Management Ronald E. Hester, Roy M. Harrison, 2009 Electronic waste contains toxic and carcinogenic compounds, which can pose a risk to the environment. This title discusses the directive and examines legislation in the USA and other parts of the world, considering the opportunities and threats posed by this form of waste. |
| artificial intelligence in waste management: Lean Six Sigma in the Age of Artificial Intelligence: Harnessing the Power of the Fourth Industrial Revolution Michael L. George, Dan Blackwell, Dinesh Rajan, 2019-02-08 The world’s leading expert on Lean Six Sigma provides the missing link for reducing waste and taking operations to the next level: Artificial Intelligence“Whatever the industry, there is an executive with the grit and determination to apply AI to attain the fastest growth, the highest investment returns, to dominate that industry. The only question is: will it be you?” –from Lean Six Sigma in the Age of Artificial IntelligenceCombine the power of AI and LSS to seize the competitive advantage—quickly, decisively, and permanentlySince 2001, business leaders have been using Lean Six Sigma (LSS) to drive improvements across industries, enabling their companies to reduce cycle time and waste, thus improving revenue and profits. Now they can finally unlock their company’s full potential by combining LSS and AI. In Lean Six Sigma in the Age of Artificial Intelligence, the world’s most respected expert on LSS, Michael L. George, Sr., shows how to harness the power of the technology that promises changing everything as we know it—Artificial Intelligence—to dramatically enhance any LSS management program. This game-changing guide takes you through the process of using AI to unlock maximum speed, solve complex manufacturing challenges, reduce waste, increase company profits, and ultimately outflank your competition at every turn. With Lean Six Sigma in the Age of Artificial Intelligence, you’ll take this revolutionary approach to its limits—and that will make all the difference between business success and failure in the coming decades. |
| artificial intelligence in waste management: Discard Studies Max Liboiron, Josh Lepawsky, 2022-05-24 An argument that social, political, and economic systems maintain power by discarding certain people, places, and things. Discard studies is an emerging field that looks at waste and wasting broadly construed. Rather than focusing on waste and trash as the primary objects of study, discard studies looks at wider systems of waste and wasting to explore how some materials, practices, regions, and people are valued or devalued, becoming dominant or disposable. In this book, Max Liboiron and Josh Lepawsky argue that social, political, and economic systems maintain power by discarding certain people, places, and things. They show how the theories and methods of discard studies can be applied in a variety of cases, many of which do not involve waste, trash, or pollution. Liboiron and Lepawsky consider the partiality of knowledge and offer a theory of scale, exploring the myth that most waste is municipal solid waste produced by consumers; discuss peripheries, centers, and power, using content moderation as an example of how dominant systems find ways to discard; and use theories of difference to show that universalism, stereotypes, and inclusion all have politics of discard and even purification—as exemplified in “inclusive” efforts to broaden the Black Lives Matter movement. Finally, they develop a theory of change by considering “wasting well,” outlining techniques, methods, and propositions for a justice-oriented discard studies that keeps power in view. |
| artificial intelligence in waste management: Artificial Intelligence and Machine Learning for Sustainable Development Pawan Whig, Pavika Sharma, Nagender Aneja, Ahmed A. Elngar, Nuno Silva, 2024-12-18 Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future. |
| artificial intelligence in waste management: Artificial Intelligence and Industrial Applications Tawfik Masrour, Ibtissam El Hassani, Noureddine Barka, 2023-10-16 Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings. |
| artificial intelligence in waste management: Waste Management and Life Cycle Assessment for Sustainable Business Practice Ganiyu, Idris Olayiwola, Olarewaju, Odunayo Magret, Ige-Olaobaju, Adejoke Yesimi, Atiku, Sulaiman Olusegun, 2024-08-05 Businesses are grappling with a profound dilemma – the pursuit of economic prosperity versus the goal of ecological sustainability. Climate change impacts increase with each passing day, compelling industries to reconcile their operations with the urgent need for a sustainable, eco-conscious paradigm. The book, Waste Management and Life Cycle Assessment for Sustainable Business Practice, is an authoritative response to this pressing global challenge. Delving into the issues surrounding the environmental impact of economic activities, it explores the intersection where industries must navigate the delicate balance between profit-making and the preservation of our planet. This book delves into the disconcerting truth that industries are substantial contributors to the global emissions of greenhouse gases. It presents a compelling case, supported by the United Nations Environment Program’s findings, that businesses wield immense power in either perpetuating environmental degradation or steering us towards a greener, more sustainable future. Despite the growing voices for eco-friendly practices, businesses often find themselves caught in the tug-of-war between profitability and environmental responsibility. This book argues that the time for a shift towards sustainable business practices is now, offering a comprehensive guide to academic scholars, researchers, and professionals seeking to understand and implement transformative strategies. |
| artificial intelligence in waste management: Artificial Intelligence, Engineering Systems and Sustainable Development Tulsi Pawan Fowdur, Satyadev Rosunee, Robert T. F. Ah King, Pratima Jeetah, Mahendra Gooroochurn, 2024-01-18 An analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs. |
| artificial intelligence in waste management: Municipal Solid Waste Management and Improvement Strategies Dr. Rajesh Bhagat, Prof. Abhilasha Deshmukh, Dr. Amitkumar Ranit, Dr. Mangesh Bhorkar, 2024-09-20 Municipal Solid Waste Management and Improvement Strategies provides a comprehensive guide to addressing urban waste challenges with sustainable, effective approaches. Covering collection, disposal, recycling, and waste-to-energy processes, this book delves into innovative strategies and policies to improve waste management systems. It emphasizes reducing environmental impact, fostering community involvement, and utilizing technology for efficiency. Essential for policymakers, environmentalists, and urban planners, it highlights practical solutions to create cleaner, healthier, and more resilient cities. |
| artificial intelligence in waste management: Advances and Applications of Artificial Intelligence & Machine Learning Bhuvan Unhelkar, Hari Mohan Pandey, Arun Prakash Agrawal, Ankur Choudhary, 2023-11-14 This volume comprises the select peer-reviewed proceedings of the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also covers research in core concepts of computers, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, software engineering, image processing, and cloud computing. This volume will provide a valuable resource for those in academia and industry. |
| artificial intelligence in waste management: Artificial Intelligence and Data Science in Environmental Sensing Mohsen Asadnia, Amir Razmjou, Amin Beheshti, 2022-02-09 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 |
| artificial intelligence in waste management: Biomedical Waste Management Prof. Umesh B. Kakde, Dr. Jaya Pawar, Dr. Aasawari Shenwai, Shivani Sunil Awale, 2024-08-16 Biomedical Waste Management provides a comprehensive guide to manage biomedical waste in healthcare settings, addressing methods of segregation, collection, storage, treatment, and disposal to ensure environmental and public safety. It covers regulatory frameworks, best practices, and emerging technologies in waste management, making it an essential resource for healthcare professionals, environmentalists, and policymakers. With a focus on minimizing health risks and ecological impact, this book underscores the importance of efficient waste management systems in preserving both human health and the environment. |
| artificial intelligence in waste management: Sustainable Development through Machine Learning, AI and IoT Pawan Whig, Nuno Silva, Ahmed A. Elngar, Nagender Aneja, Pavika Sharma, 2023-12-20 This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15–16, 2023. The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development. |
| artificial intelligence in waste management: 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) IEEE Staff, 2019-11-29 Engineering, Computing, Computer Science |
| artificial intelligence in waste management: Artificial Intelligence Revolutionizing the Future of Technology Sam Morgan, 2024-11-12 Dive into the world of innovation with Artificial Intelligence Revolutionizing the Future of Technology. This insightful book explores the foundations and advancements of artificial intelligence, highlighting its transformative impact on industries and everyday life. Discover the principles of AI technology, including machine learning and automation, and learn how to apply these concepts in various fields such as data science and application development. This essential resource empowers readers to understand and embrace the future of AI technology. |
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
