Artificial Intelligence For Air Quality Monitoring And Prediction
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Artificial Intelligence For Air Quality Monitoring And Prediction
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Author : Amit Awasthi
language : en
Publisher: CRC Press
Release Date : 2024-10-02
Artificial Intelligence For Air Quality Monitoring And Prediction written by Amit Awasthi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-02 with Technology & Engineering categories.
This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and preprocessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges. Features A thorough coverage of air quality monitoring and prediction techniques. In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning. Diverse global perspectives and approaches in air quality monitoring and prediction. Practical insights and real-world case studies from different monitoring and prediction techniques. Future directions and emerging trends in AI-driven air quality monitoring. This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI.
Artificial Intelligence Driven Models For Environmental Management
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Author : Shrikaant Kulkarni
language : en
Publisher: John Wiley & Sons
Release Date : 2025-08-19
Artificial Intelligence Driven Models For Environmental Management written by Shrikaant Kulkarni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Science categories.
Step-by-step guidelines for the development of artificial neural network-based environmental pollution models Artificial Intelligence-Driven Models for Environmental Management delves into the application of AI across a plethora of areas in environmental management, including climate forecasting, natural resource optimization, waste management, and biodiversity conservation. This book shows how AI can help in monitoring, predicting, and mitigating environmental impacts with tremendous accuracy and speed by leveraging machine learning, deep learning, and other data-driven models. The methodologies explored in this volume reflect a synthesis of computational intelligence, data science, and ecological expertise, underscoring how AI-driven systems have been making strides in managing and preserving our planet's natural resources. The text is structured to guide readers through numerous AI models and their practical environmental management applications, showcasing theoretical foundations as well as case studies. This book also addresses the challenges and ethical considerations related to deploying AI in ecological contexts, underscoring the importance of transparency, inclusivity, and alignment with sustainability goals. Sample topics discussed in Artificial Intelligence-Driven Models for Environmental Management include: Tools and methods for monitoring and predicting environmental pollutants faster and more accurately AI technology for the protection of water supplies from contamination to produce healthier foods Use of AI for the evaluation of the impacts of environmental pollution on human health AI and waste management technologies for sustainable agriculture and soil management The role of AI in environmental research and sustainability and key social and economic aspects of natural resource management through AI Artificial Intelligence-Driven Models for Environmental Management is a timely, forward-thinking resource for a diverse readership, including researchers, policymakers, environmental scientists, and AI practitioners.
Environmental Monitoring Using Artificial Intelligence
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Author : A. Suresh
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-19
Environmental Monitoring Using Artificial Intelligence written by A. Suresh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Computers categories.
Environmental Monitoring Using Artificial Intelligence is a vital resource for anyone looking to leverage cutting-edge technologies in artificial intelligence and sensor systems to effectively address environmental challenges, offering innovative solutions and insights essential for creating a sustainable future. Environmental Monitoring Using Artificial Intelligence provides a comprehensive exploration of the cutting-edge technologies transforming environmental monitoring. This book bridges the gap between artificial intelligence (AI), natural language processing (NLP), and sensor-based systems, highlighting their potential to revolutionize the way we address pressing environmental challenges. Each chapter presents innovative case studies, real-world applications, and the latest research on how these technologies are being utilized to monitor and manage ecosystems, water resources, air quality, and urban sustainability. From advanced sensor networks to machine learning models, this book covers a broad spectrum of topics, including smart water solutions, biodiversity conservation, waste management, and agricultural sustainability. It offers an interdisciplinary approach, making it an essential resource for environmental engineers, data scientists, researchers, and policymakers. Whether you’re exploring smart city innovations, renewable energy monitoring, or AI-driven solutions for environmental protection, Environmental Monitoring Using Artificial Intelligence equips readers with the knowledge and tools to leverage technology for a sustainable future.
Novel Ai Applications For Advancing Earth Sciences
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Author : Yadav, Sudesh
language : en
Publisher: IGI Global
Release Date : 2023-12-29
Novel Ai Applications For Advancing Earth Sciences written by Yadav, Sudesh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Science categories.
The Earth Sciences industry faces a new challenge - the need for accurate, efficient, and reliable methods to monitor and predict geological phenomena and environmental changes. As climate change, earthquakes, and other natural disasters become more frequent and severe, the necessity for advanced tools and techniques is paramount. Traditional methods often fall short in providing the precision and speed required to address these critical issues. Geologists and earth scientists who are grappling with the urgent problem of utilizing artificial intelligence (AI) to revolutionize their field, will find the solution within the pages of Novel AI Applications for Advancing Earth Sciences. This book offers the research community concepts expanding upon the fusion of AI technology with earth sciences. By leveraging advanced AI tools, such as convolutional neural networks, support vector machines, artificial neural networks, and the potential of remote sensing satellites, this book transforms the identification of geological features, geological mapping, soil classification, and gas detection. Scientists can now predict earthquakes and assess the probability of climate change with unprecedented accuracy. Additionally, the book explains how the optimization of algorithms for specific tasks substantially reduces the time complexity of earth observations, leading to an unprecedented leap in accuracy and efficiency.
Proceedings Of 5th International Conference On Recent Trends In Machine Learning Iot Smart Cities And Applications
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2025-02-27
Proceedings Of 5th International Conference On Recent Trends In Machine Learning Iot Smart Cities And Applications written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Technology & Engineering categories.
This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, held in Hyderabad, India on 28–29 March 2024. It includes the most recent research trends and advancements in machine learning, smart cities, IoT, AI, cyber-physical systems, cybernetics, data science, neural networks, and cognition. This book addresses the comprehensive nature of AI, ML, and DL to highlight its role in the modelling, identification, optimisation, prediction, forecasting, and control of future intelligent systems.
Artificial Intelligence In Environmental Engineering And Ecology Towards Smart And Sustainable Cities
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Author : Ketan Kotecha
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-26
Artificial Intelligence In Environmental Engineering And Ecology Towards Smart And Sustainable Cities written by Ketan Kotecha and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Science categories.
The ever-growing world population is over-stressing the available resources leading to several social, economic, and environmental issues. The world is facing challenges related to the availability of food, housing, water, and infrastructure. The solutions to sustainability crises require unraveling complex interactions that do not fit neatly into a single discipline. Keeping in view the sustainable development goals which are considered a blueprint for a better and more sustainable future, interdisciplinary research in civil and environmental engineering is of utmost important. The interdisciplinary research tackles the demands of the growing population of urban agglomerates. Designing interdisciplinary solutions for achieving sustainable development goals including Sustainable Cities and Communities; Affordable and Clean Energy; Clean Water and Sanitation; Responsible Consumption and Production; Industry, Innovation, and Infrastructure; Climate Action is the need of the hour. The interdisciplinary research in environmental sustainability can convert real-world complexities such as space dynamics and pressure on cities, sustainable infrastructure, smart transport, smart buildings, climate changes, air pollutant dispersion and pollution, contaminant transport through air water, and soil, ocean dynamics, life below water, and effect of contamination on flora and fauna and more, into predictable models using Artificial Intelligence (AI). The primary objective of this research topic is to consolidate research and application of Artificial Intelligence in environmental engineering, aiming toward smart and sustainable cities. Highlighting AI-based solutions and models across environmental engineering and sustainability, in particular for smart and sustainable cities, is the prime objective of the proposed research topic. The issue will welcome multidisciplinary/ interdisciplinary approaches to provide solutions to current pressing problems of cities from an engineering perspective.
The Future Of Artificial Intelligence And Robotics
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Author : David Pastor-Escuredo
language : en
Publisher: Springer Nature
Release Date : 2024-08-19
The Future Of Artificial Intelligence And Robotics written by David Pastor-Escuredo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-19 with Computers categories.
This book includes the results from the 5th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR), held in National Institute of Technology, Kurukshetra, on December 07–09, 2023, which brought together visionaries, researchers, and industry leaders at the forefront of technological innovation. In the rapidly evolving landscape of technology, deep learning, artificial intelligence, and robotics stand as a beacon of innovation and intellectual exchange. Among the myriad of groundbreaking contributions, a notable gem emerges—a forthcoming book that promises to encapsulate the essence of the 5th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2023 proceedings. Titled " Progress in AI-Driven Business Decisions & Robotic Process Automation," this publication is poised to become a cornerstone for enthusiasts, researchers, and professionals seeking a comprehensive understanding of the latest advancements in deep learning, artificial intelligence, and robotics. Focused on the theme "Progress in AI-Driven Business Decisions & Robotic Process Automation," the conference showcased groundbreaking developments in the field, exploring the intersection of deep learning, artificial intelligence (AI), and robotics.
Applications Of Artificial Intelligence And Machine Learning
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Author : Ankur Choudhary
language : en
Publisher: Springer Nature
Release Date : 2021-07-27
Applications Of Artificial Intelligence And Machine Learning written by Ankur Choudhary and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-27 with Computers categories.
The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Artificial Intelligence Driven Geographies
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Author : Seyed Navid Mashhadi Moghaddam
language : en
Publisher: Springer Nature
Release Date : 2024-09-11
Artificial Intelligence Driven Geographies written by Seyed Navid Mashhadi Moghaddam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Social Science categories.
This groundbreaking book delves deep into the history of AI, the major techniques and algorithms of machine learning and deep learning, and the critical role of data sources and processing in these disciplines. It covers a range of AI applications in human geography, including population distribution, land use, environmental risk assessment, and socioeconomic analysis. In urban planning, the book explores AI-driven approaches to smart cities, transportation management, urban growth prediction, and sustainable development, among others. As AI continues to permeate every aspect of human life, it is essential to understand and address the ethical considerations and challenges associated with AI-driven planning. This book tackles crucial issues such as data privacy, algorithmic bias, equitable access to technology, and the future of employment in the fields of geography and urban planning. In addition, it presents inspiring case studies, highlighting successful AI applications in human geography and urban planning, and offers insights into future research directions and challenges. This book is a must-read for students, researchers, and professionals in geography, urban planning, environmental studies, and related fields. It is also an invaluable resource for policymakers and urban planners seeking to leverage the power of AI to create smarter, more sustainable, and equitable cities and communities. This book equips you with the knowledge and tools to harness the potential of AI, leading the way to a better understanding of our world and a brighter future for all.
Artificial Intelligence For Multimedia Information Processing
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Author : Xavier Savarimuthu
language : en
Publisher: CRC Press
Release Date : 2024-06-14
Artificial Intelligence For Multimedia Information Processing written by Xavier Savarimuthu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-14 with Technology & Engineering categories.
Advances in artificial intelligence (AI), widespread mobile devices, internet technologies, multimedia data sources, and information processing have led to the emergence of multimedia processing. Multimedia processing is the application of signal processing tools to multimedia data—text, audio, images, and video—to allow the interpretation of these data, particularly in urban and smart city environments. This book discusses the new standards of multimedia and information processing from several technological perspectives, including analytics empowered by AI, streaming on the intelligent edge, multimedia edge caching and AI, services for edge AI, and hardware and devices for multimedia on edge intelligence. FEATURES Covers a wide spectrum of enabling technologies for AI and machine learning for multimedia and information processing Includes many applications using AI, from robotics and driverless cars to environmental, human health, and remote sensing Presents an overview of the fundamentals of AI and multimedia processing: imaging, signal, and speech Explains new models and architectures for multimedia streaming, services, and caching for AI Discusses the emerging paradigms of the deployment of hardware and devices for multimedia on edge intelligence Gives recommendations for future research in multimedia and AI This book is written for engineers and graduate students in image and signal processing, information processing, environmental engineering, medical and public health, etc., who are interested in machine learning, deep learning, and multimedia processing.