Download or read book Artificial Intelligence for Air Quality Monitoring and Prediction written by Amit Awasthi and published by CRC Press. This book was released on 2024-10-02 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book 2021 6th International Conference on Communication and Electronics Systems ICCES written by IEEE Staff and published by . This book was released on 2021-07-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have witnessed the deployment of ever expanding range of digital electronics and communication technologies to enable innovative opportunities for meeting the demands posed by both economy and society The increasing computing and communication technologies and the widespread availability of electronics and wireless networking technologies have lowered the traditional barriers of science and technology by processing large amounts of data and also enhancing its accessibility and exchangeability Henceforth deploying new innovative technologies in this domain will even more strengthen the bond between the research and real time applications, which can further reshape the way people socialize and interact with each other
Download or read book Machine Learning Algorithms and Applications written by Mettu Srinivas and published by John Wiley & Sons. This book was released on 2021-08-10 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.
Download or read book Integrating IoT and AI for Indoor Air Quality Assessment written by Jagriti Saini and published by Springer Nature. This book was released on 2022-04-19 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents Internet of Things (IoT) solutions monitoring and assessing a variety of applications areas for indoor air quality (IAQ). This book synthesizes recent developments, presents case studies, and discusses new methods in the area of air quality monitoring, all the while addressing public health concerns. The authors discuss the issues and solutions, including IoT systems that can provide a continuous flow of data retrieved from cost-effective sensors that can be used in multiple applications.The authors present the leading IoT technologies, applications, algorithms, systems, and future scope in this multi-disciplinary domain.
Download or read book 2020 6th International Conference on Advanced Computing and Communication Systems ICACCS written by IEEE Staff and published by . This book was released on 2020-03-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 2020 International Conference on Advanced Computing & Communication Systems (ICACCS) aims at exploring the interface between the industry and real time environment with state of the art techniques ICACCS 2020 publishes original and timely research papers and survey articles in current areas of sustainable computing, energy, smart city, temperature, power and environment related research areas of current importance to readers
Download or read book Intelligent Environmental Data Monitoring for Pollution Management written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2020-10-22 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization. Introduces novel intelligent techniques needed to address environmental pollution for the well-being of the global environment Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies surrounding the monitoring and mitigation of environmental pollution Puts forth insights on future generation intelligent pollution monitoring techniques
Download or read book Machine Learning and Metaheuristics Algorithms and Applications written by Sabu M. Thampi and published by Springer Nature. This book was released on 2020-04-04 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, held in Trivandrum, India, in December 2019. The 17 full papers and 6 short papers presented in this volume were thoroughly reviewed and selected from 53 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc.
Download or read book Artificial Intelligence Methods in the Environmental Sciences written by Sue Ellen Haupt and published by Springer Science & Business Media. This book was released on 2008-11-28 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Internet of Things for Indoor Air Quality Monitoring written by Jagriti Saini and published by Springer Nature. This book was released on 2021-08-04 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.
Download or read book Development of a Novel Context Prediction Algorithm and Analysis of Context Prediction Schemes written by Stephan Sigg and published by kassel university press GmbH. This book was released on 2008 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book LearnAir written by David Bradford Ramsay and published by . This book was released on 2016 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Air pollution is responsible for :1/8 of deaths around the world. While the importance of air quality has led to a boom in inexpensive air sensors, studies have shown that the status quo of sparse, fixed sensors cannot accurately capture personal exposure levels of nearby populations. Especially in urban landscapes, pollutant concentrations can vary over just a few seconds or a few meters. Unfortunately, the portable monitors that are capable of accurately measuring these pollutants cost thousands of dollars. That hasn't stopped a deluge of cheap, portable consumer devices from entering the market. These solutions frequently claim better accuracy, but universally fail under real-world validation. Instead of competing to build a more accurate sensor, we take the approach of trying to predict when we can trust the cheap sensor we have, based on ambient conditions and measurements. Well-designed, sub-$100 sensors have recently started to perform with high precision and accuracy. While their fundamental operation is sound, these affordable sensors cannot incorporate costly, industry standard techniques for mitigating issues like cross-sensitivity, dynamic airflow, or high humidity. Fortunately, if the core principles of the device are robust, machine learning techniques should be able to predict systematic measurement failure based on a handful of related indicators. In this thesis, we test and demonstrate the potential for logistic regression machine learning techniques to predict and classify sensor measurements as 'correct' or 'incorrect' with high reliability. These techniques are also useful for quantifying sensor precision as well as cross-seasonal prediction strength. After demonstrating the value of this approach, we implement a scalable database solution using a semantic web technology know as ChainAPI. The tools developed for this framework allow automatic learning algorithms to crawl through the database, access the most recent data, update their training model, and populate the database with the processed data for other crawling scripts to interact with. This backend has implications for air quality data storage, interaction, and exchange. Finally, we build a portable, Bluetooth enabled air quality device that connects to ChainAPI through a mobile phone app, and takes advantage of the machine learning algorithms running in its backend. This device improves the reliability of sensor data compared with similar-cost systems. The learnAir device empowers individuals to trust their personal air quality data, and provokes a dialog about sensor reliability in the citizen sensing community. Its novel database architecture promotes new ways of interacting with large, dynamic datasets, and new tools to characterize affordable sensors and devices. Finally, applied logistic regression algorithms assure the accuracy of cheap, distributed sensor data- creating a trusted way for researchers to collaborate with citizen scientists from around the world.
Download or read book The Economic Consequences of Outdoor Air Pollution written by OECD and published by OECD Publishing. This book was released on 2016-06-09 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report provides a comprehensive assessment of the economic consequences of outdoor air pollution in the coming decades, focusing on the impacts on mortality, morbidity, and changes in crop yields as caused by high concentrations of pollutants.
Download or read book Machine Learning Methods in the Environmental Sciences written by William W. Hsieh and published by Cambridge University Press. This book was released on 2009-07-30 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
Download or read book Proceedings of International Conference on Computational Intelligence Data Science and Cloud Computing written by Valentina Emilia Balas and published by Springer Nature. This book was released on 2021 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.
Download or read book Air Quality Monitoring and Forecasting written by Pius Lee and published by MDPI. This book was released on 2018-04-27 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Air Quality Monitoring and Forecasting" that was published in Atmosphere
Download or read book Air Quality Monitoring and Advanced Bayesian Modeling written by Yongjie Li and published by Elsevier. This book was released on 2023-01-14 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Air Quality Monitoring and Advanced Bayesian Modeling introduces recent developments in urban air quality monitoring and forecasting. The book presents concepts, theories, and case studies related to monitoring methods of criteria air pollutants, advanced methods for real-time characterization of chemical composition of PM and VOCs, and emerging strategies for air quality monitoring. The book illustrates concepts and theories through case studies about the development of common statistical air quality forecasting models. Readers will also learn advanced topics such as the Bayesian model class selection, adaptive forecasting model development with Kalman filter, and the Bayesian model averaging of multiple adaptive forecasting models. Covers fundamental to advanced applications of urban air quality monitoring and forecasting Includes detailed descriptions and applications of the instruments necessary for the most successful monitoring techniques Presents case studies throughout to provide real-world context to the research presented in the book
Download or read book Artificial Neural Network Models for Prediction of Ozone Concentrations in Guadalajara Mexico written by Ignacio Garcia and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
