Artificial Intelligence Of Things For Weather Forecasting And Climatic Behavioral Analysis

Download Artificial Intelligence Of Things For Weather Forecasting And Climatic Behavioral Analysis full books in PDF, epub, and Kindle. Read online Artificial Intelligence Of Things For Weather Forecasting And Climatic Behavioral Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis

Author : Gupta, Rajeev Kumar
Publisher : IGI Global
ISBN 13 : 1668439832
Total Pages : 277 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis by : Gupta, Rajeev Kumar

Download or read book Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis written by Gupta, Rajeev Kumar and published by IGI Global. This book was released on 2022-06-10 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weather forecasting and climate behavioral analysis have traditionally been done using complicated physics models and accompanying atmospheric variables. However, the traditional approaches lack common tools, which can lead to incomplete information about the weather and climate conditions, in turn affecting the prediction accuracy rate. To address these problems, the advanced technological aspects through the spectrum of artificial intelligence of things (AIoT) models serve as a budding solution. Further study on artificial intelligence of things and how it can be utilized to improve weather forecasting and climatic behavioral analysis is crucial to appropriately employ the technology. Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis discusses practical applications of artificial intelligence of things for interpretation of weather patterns and how weather information can be used to make critical decisions about harvesting, aviation, etc. This book also considers artificial intelligence of things issues such as managing natural disasters that impact the lives of millions. Covering topics such as deep learning, remote sensing, and meteorological applications, this reference work is ideal for data scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Reshaping Environmental Science Through Machine Learning and IoT

Author : Gupta, Rajeev Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 459 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Reshaping Environmental Science Through Machine Learning and IoT by : Gupta, Rajeev Kumar

Download or read book Reshaping Environmental Science Through Machine Learning and IoT written by Gupta, Rajeev Kumar and published by IGI Global. This book was released on 2024-05-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Demystifying Federated Learning for Blockchain and Industrial Internet of Things

Author : Kautish, Sandeep
Publisher : IGI Global
ISBN 13 : 166843735X
Total Pages : 261 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Demystifying Federated Learning for Blockchain and Industrial Internet of Things by : Kautish, Sandeep

Download or read book Demystifying Federated Learning for Blockchain and Industrial Internet of Things written by Kautish, Sandeep and published by IGI Global. This book was released on 2022-06-17 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, mobile technology and the internet of objects have been used in mobile networks to meet new technical demands. Emerging needs have centered on data storage, computation, and low latency management in potentially smart cities, transport, smart grids, and a wide number of sustainable environments. Federated learning’s contributions include an effective framework to improve network security in heterogeneous industrial internet of things (IIoT) environments. Demystifying Federated Learning for Blockchain and Industrial Internet of Things rediscovers, redefines, and reestablishes the most recent applications of federated learning using blockchain and IIoT to optimize data for next-generation networks. It provides insights to readers in a way of inculcating the theme that shapes the next generation of secure communication. Covering topics such as smart agriculture, object identification, and educational big data, this premier reference source is an essential resource for computer scientists, programmers, government officials, business leaders and managers, students and faculty of higher education, researchers, and academicians.

Artificial Intelligence for Societal Development and Global Well-Being

Author : Saxena, Abhay
Publisher : IGI Global
ISBN 13 : 1668424452
Total Pages : 312 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Societal Development and Global Well-Being by : Saxena, Abhay

Download or read book Artificial Intelligence for Societal Development and Global Well-Being written by Saxena, Abhay and published by IGI Global. This book was released on 2022-06-17 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence has become an invaluable tool in modern society and can be utilized across fields such as healthcare, travel, education, and construction. There are numerous benefits for companies, industries, and governments when adopting this technology into their daily operations as it continues to evolve to support the needs of society. Further study on the challenges and strategies of implementation is required in order to ensure the technology is employed to its full potential. Artificial Intelligence for Societal Development and Global Well-Being considers the various uses, best practices, and success factors of artificial intelligence across fields and industries and discusses critical ways in which the technology must be developed further for the good of society. Covering a range of topics such as smart devices, artificial neural networks, and natural intelligence, this reference work is crucial for scientists, librarians, business owners, government officials, entrepreneurs, scholars, researchers, practitioners, instructors, and students.

Artificial Intelligence Applications in Agriculture and Food Quality Improvement

Author : Khan, Mohammad Ayoub
Publisher : IGI Global
ISBN 13 : 1668451433
Total Pages : 352 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence Applications in Agriculture and Food Quality Improvement by : Khan, Mohammad Ayoub

Download or read book Artificial Intelligence Applications in Agriculture and Food Quality Improvement written by Khan, Mohammad Ayoub and published by IGI Global. This book was released on 2022-05-27 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food is a necessary aspect of human life, and agriculture is crucial to any country’s global economy. Because the food business is essential to both a country’s economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.

Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques

Author : Thusnavis, Bella Mary I.
Publisher : IGI Global
ISBN 13 : 1799887650
Total Pages : 325 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques by : Thusnavis, Bella Mary I.

Download or read book Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques written by Thusnavis, Bella Mary I. and published by IGI Global. This book was released on 2022-05-27 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned aerial vehicles (UAVs) and artificial intelligence (AI) are gaining the attention of academic and industrial researchers due to the freedoms that UAVs afford when operating and monitoring activities remotely. Applying machine learning and deep learning techniques can result in fast and reliable outputs and have helped in real-time monitoring, data collection and processing, and prediction. UAVs utilizing these techniques can become instrumental tools for computer/wireless networks, smart cities, military applications, agricultural sectors, and mining. Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques is an essential reference source that covers pattern recognition, machine and deep learning-based methods, and other AI techniques and the impact they have when applied to different real-time applications of UAVs. It synthesizes the scope and importance of machine learning and deep learning models in enhancing UAV capabilities, solutions to problems, and numerous application areas. Covering topics such as vehicular surveillance systems, yield prediction, and human activity recognition, this premier reference source is a comprehensive resource for computer scientists; AI engineers; data scientists; agriculturalists; government officials; military leaders; business managers and leaders; students and faculty of higher education; academic libraries; academicians; and researchers in computer science, computer vision, pattern recognition, imaging, and engineering.

AI for Climate Change and Environmental Sustainability

Author : Suneeta Satpathy
Publisher :
ISBN 13 : 9781032589060
Total Pages : 0 pages
Book Rating : 4.5/5 (89 download)

DOWNLOAD NOW!

Book Synopsis AI for Climate Change and Environmental Sustainability by : Suneeta Satpathy

Download or read book AI for Climate Change and Environmental Sustainability written by Suneeta Satpathy and published by . This book was released on 2024-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the adverse effects of climatic changes on our planet. It examines AI-based tools and technologies and how they can assist in identifying energy emission reductions, CO2 removal, and support the development of greener transportation networks, monitoring deforestation, and forecast extreme weather events. AI for Climate Change and Environmental Sustainability, identifies and discusses in detail the importance of environmental sustainability based on accomplishment of UNs 17 Sustainable Developmental Goals (SDGs). It presents the various AI-based possibilities for accelerating international efforts to safeguard the environment and conserve natural resources. The authors offer a comprehensive analysis of the emerging field of climate change in relation to Internet of Things, artificial intelligence, machine learning, and deep learning. The book discusses AI developments, applications, and best practices that will help us transition to a low-carbon future on both a regional and global scale. It provides case studies with analytical results pertinent to the climate change and weather prediction and includes chapters with a research-oriented approach, which can encourage new developments in the field of sustainable climate and green environment. The book can be used as a primary textbook for graduate and postgraduate students in technology and science, as well as a reference for researchers, academics, and IT professionals working on climate change and sustainability initiatives.

Artificial Intelligence in Forecasting

Author : Sachi Mohanty
Publisher : CRC Press
ISBN 13 : 1040051502
Total Pages : 365 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Forecasting by : Sachi Mohanty

Download or read book Artificial Intelligence in Forecasting written by Sachi Mohanty and published by CRC Press. This book was released on 2024-07-19 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use machine learning to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. In other words, accurate forecasting requires more than just the matching of models to historical data. The book covers the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. Readers will also be familiarised with the necessary skills to meet the increased demand for thoughtful and realistic forecasts.

Extreme Weather Forecasting

Author : Marina Astitha
Publisher : Elsevier
ISBN 13 : 0128202432
Total Pages : 359 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!

Book Synopsis Extreme Weather Forecasting by : Marina Astitha

Download or read book Extreme Weather Forecasting written by Marina Astitha and published by Elsevier. This book was released on 2022-10-11 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extreme Weather Forecasting reviews current knowledge about extreme weather events, including key elements and less well-known variables to accurately forecast them. The book covers multiple temporal scales as well as components of current weather forecasting systems. Sections cover case studies on successful forecasting as well as the impacts of extreme weather predictability, presenting a comprehensive and model agnostic review of best practices for atmospheric scientists and others who utilize extreme weather forecasts. Reviews recent developments in numerical prediction for better forecasting of extreme weather events Covers causes and mechanisms of high impact extreme events and how to account for these variables when forecasting Includes numerous case studies on successful forecasting, outlining why they worked

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

Author : Seon Ki Park
Publisher : Springer Science & Business Media
ISBN 13 : 3642350887
Total Pages : 730 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) by : Seon Ki Park

Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) written by Seon Ki Park and published by Springer Science & Business Media. This book was released on 2013-05-22 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.

Economic Value of Weather and Climate Forecasts

Author : Richard W. Katz
Publisher : Cambridge University Press
ISBN 13 : 9780521435710
Total Pages : 244 pages
Book Rating : 4.4/5 (357 download)

DOWNLOAD NOW!

Book Synopsis Economic Value of Weather and Climate Forecasts by : Richard W. Katz

Download or read book Economic Value of Weather and Climate Forecasts written by Richard W. Katz and published by Cambridge University Press. This book was released on 1997 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weather and climate extremes can significantly impact the economics of a region. This book examines how weather and climate forecasts can be used to mitigate the impact of the weather on the economy. Interdisciplinary in scope, it explores the meteorological, economic, psychological, and statistical aspects to weather prediction. The contributors encompass forecasts over a wide range of temporal scales, from weather over the next few hours to the climate months or seasons ahead, and address the impact of these forecasts on human behaviour. Economic Value of Weather and Climate Forecasts seeks to determine the economic benefits of existing weather forecasting systems and the incremental benefits of improving these systems, and will be an interesting and essential reference for economists, statisticians, and meteorologists.

Machine Learning in Meteorology and Climate Science

Author : Zoe Adams
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (564 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning in Meteorology and Climate Science by : Zoe Adams

Download or read book Machine Learning in Meteorology and Climate Science written by Zoe Adams and published by Independently Published. This book was released on 2023-08-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unraveling the Skies: Machine Learning in Meteorology and Climate Science is an exclusive report that brings to light an unusual partnership - the one between the typically high-tech fields of meteorology, climate science, and machine learning. In this comprehensive Special Report, author Zoe Adams deciphers the intersection of these complex domains in a way that is captivating, yet accessible. The journey begins with the basic concepts, gradually revealing how machine learning techniques are being employed to heighten our understanding and prediction of weather patterns and climate change. Delve deeper to discover how machine learning contributes to: Refining weather forecasting methodologies Providing insightful climate change projections Improving disaster response mechanisms Zoe's engaging narrative manages to untangle the often mystic world of machine learning and climate science without leaning on too much technical jargon, making it a perfect read for both the weather enthusiast and the tech-curious reader. By the end of the report, you will view the interplay of data, algorithms, and atmospheric phenomena with a newfound appreciation. Get your copy today and embark on this compelling scientific voyage!

Integrating Social and Behavioral Sciences Within the Weather Enterprise

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309464250
Total Pages : 199 pages
Book Rating : 4.3/5 (94 download)

DOWNLOAD NOW!

Book Synopsis Integrating Social and Behavioral Sciences Within the Weather Enterprise by : National Academies of Sciences, Engineering, and Medicine

Download or read book Integrating Social and Behavioral Sciences Within the Weather Enterprise written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-01-05 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our ability to observe and forecast severe weather events has improved markedly over the past few decades. Forecasts of snow and ice storms, hurricanes and storm surge, extreme heat, and other severe weather events are made with greater accuracy, geographic specificity, and lead time to allow people and communities to take appropriate protective measures. Yet hazardous weather continues to cause loss of life and result in other preventable social costs. There is growing recognition that a host of social and behavioral factors affect how we prepare for, observe, predict, respond to, and are impacted by weather hazards. For example, an individual's response to a severe weather event may depend on their understanding of the forecast, prior experience with severe weather, concerns about their other family members or property, their capacity to take the recommended protective actions, and numerous other factors. Indeed, it is these factors that can determine whether or not a potential hazard becomes an actual disaster. Thus, it is essential to bring to bear expertise in the social and behavioral sciences (SBS)â€"including disciplines such as anthropology, communication, demography, economics, geography, political science, psychology, and sociologyâ€"to understand how people's knowledge, experiences, perceptions, and attitudes shape their responses to weather risks and to understand how human cognitive and social dynamics affect the forecast process itself. Integrating Social and Behavioral Sciences Within the Weather Enterprise explores and provides guidance on the challenges of integrating social and behavioral sciences within the weather enterprise. It assesses current SBS activities, describes the potential value of improved integration of SBS and barriers that impede this integration, develops a research agenda, and identifies infrastructural and institutional arrangements for successfully pursuing SBS-weather research and the transfer of relevant findings to operational settings.

Predictability of Weather and Climate

Author : Tim Palmer
Publisher : Cambridge University Press
ISBN 13 : 1139458205
Total Pages : 693 pages
Book Rating : 4.1/5 (394 download)

DOWNLOAD NOW!

Book Synopsis Predictability of Weather and Climate by : Tim Palmer

Download or read book Predictability of Weather and Climate written by Tim Palmer and published by Cambridge University Press. This book was released on 2006-07-27 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: With contributions by leading experts, including an unpublished paper by Ed Lorenz, this book, first published in 2006, covers many topics in weather and climate predictability. It will interest those in the fields of environmental science and weather and climate forecasting, from graduate students to researchers, by examining theoretical and practical aspects of predictability.

Blockchain Technology for IoT Applications

Author : Seok-Won Lee
Publisher : Springer Nature
ISBN 13 : 981334122X
Total Pages : 210 pages
Book Rating : 4.8/5 (133 download)

DOWNLOAD NOW!

Book Synopsis Blockchain Technology for IoT Applications by : Seok-Won Lee

Download or read book Blockchain Technology for IoT Applications written by Seok-Won Lee and published by Springer Nature. This book was released on 2021-03-16 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores recent advances in the Internet of things (IoT) via advanced technologies and provides an overview of most aspects which are relevant for advance secure, distributed, decentralized blockchain technology in the Internet of things, their applications, and industry IoT. The book provides an in-depth analysis of the step-by-step evolution of IoT to create a change by enhancing the productivity of industries. It introduces how connected things, data, and their communication (data sharing) environment build a transparent, reliable, secure environment for people, processes, systems, and services with the help of blockchain technology.

Patterns Identification and Data Mining in Weather and Climate

Author : Abdelwaheb Hannachi
Publisher :
ISBN 13 : 9783030670740
Total Pages : 0 pages
Book Rating : 4.6/5 (77 download)

DOWNLOAD NOW!

Book Synopsis Patterns Identification and Data Mining in Weather and Climate by : Abdelwaheb Hannachi

Download or read book Patterns Identification and Data Mining in Weather and Climate written by Abdelwaheb Hannachi and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.

Climate Change Adaptation in Africa

Author : Walter Leal Filho
Publisher : Springer
ISBN 13 : 3319495208
Total Pages : 746 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Climate Change Adaptation in Africa by : Walter Leal Filho

Download or read book Climate Change Adaptation in Africa written by Walter Leal Filho and published by Springer. This book was released on 2017-03-27 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection showcases experiences from research and field projects in climate change adaptation on the African continent. It includes a set of papers presented at a symposium held in Addis Abeba in February 2016, which brought together international experts to discuss “fostering African resilience and capacity to adapt.” The papers introduce a wide range of methodological approaches and practical case studies to show how climate change adaptation can be implemented in regions and countries across the continent. Responding to the need for more cross-sectoral interaction among the various stakeholders working in the field of climate change adaptation, the book fosters the exchange of information on best practices across the African continent.