Artificial Intelligence Of Things For Weather Forecasting And Climatic Behavioral Analysis

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Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis

Author : Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Singh, Ved Prakash,Bharti, Santosh
Publisher : IGI Global
Page : 277 pages
File Size : 40,6 Mb
Release : 2022-06-10
Category : Computers
ISBN : 9781668439838

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Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis by Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Singh, Ved Prakash,Bharti, Santosh Pdf

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.

Demystifying Federated Learning for Blockchain and Industrial Internet of Things

Author : Kautish, Sandeep,Dhiman, Gaurav
Publisher : IGI Global
Page : 261 pages
File Size : 46,5 Mb
Release : 2022-06-17
Category : Computers
ISBN : 9781668437353

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Demystifying Federated Learning for Blockchain and Industrial Internet of Things by Kautish, Sandeep,Dhiman, Gaurav Pdf

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,Bhatt, Ashutosh Kumar,Kumar, Rajeev
Publisher : IGI Global
Page : 312 pages
File Size : 47,9 Mb
Release : 2022-06-17
Category : Computers
ISBN : 9781668424452

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Artificial Intelligence for Societal Development and Global Well-Being by Saxena, Abhay,Bhatt, Ashutosh Kumar,Kumar, Rajeev Pdf

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,Khan, Rijwan,Praveen, Pushkar
Publisher : IGI Global
Page : 352 pages
File Size : 46,6 Mb
Release : 2022-05-27
Category : Technology & Engineering
ISBN : 9781668451434

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Artificial Intelligence Applications in Agriculture and Food Quality Improvement by Khan, Mohammad Ayoub,Khan, Rijwan,Praveen, Pushkar Pdf

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.,Sagayam, K. Martin,Elngar, Ahmed A.
Publisher : IGI Global
Page : 325 pages
File Size : 52,9 Mb
Release : 2022-05-27
Category : Computers
ISBN : 9781799887652

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Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques by Thusnavis, Bella Mary I.,Sagayam, K. Martin,Elngar, Ahmed A. Pdf

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,Satyasundara Mahapatra,Nidhi Agarwal,Sachi Nandan Mohanty
Publisher : Unknown
Page : 0 pages
File Size : 40,7 Mb
Release : 2024-07-16
Category : Computers
ISBN : 103258906X

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AI for Climate Change and Environmental Sustainability by Suneeta Satpathy,Satyasundara Mahapatra,Nidhi Agarwal,Sachi Nandan Mohanty Pdf

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.

Extreme Weather Forecasting

Author : Marina Astitha,Efthymios I. Nikolopoulos
Publisher : Elsevier
Page : 359 pages
File Size : 51,8 Mb
Release : 2022-10-11
Category : Science
ISBN : 9780128202432

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Extreme Weather Forecasting by Marina Astitha,Efthymios I. Nikolopoulos Pdf

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

Economic Value of Weather and Climate Forecasts

Author : Richard W. Katz,Allan H. Murphy
Publisher : Cambridge University Press
Page : 244 pages
File Size : 46,8 Mb
Release : 1997
Category : Business & Economics
ISBN : 0521435714

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Economic Value of Weather and Climate Forecasts by Richard W. Katz,Allan H. Murphy Pdf

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.

Artificial Intelligence in Forecasting

Author : Sachi Nandan Mohanty,Preethi Nanjundan,Tejaswini Kar
Publisher : Unknown
Page : 0 pages
File Size : 41,5 Mb
Release : 2024
Category : Artificial intelligence
ISBN : 1032506180

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Artificial Intelligence in Forecasting by Sachi Nandan Mohanty,Preethi Nanjundan,Tejaswini Kar Pdf

"Importance of forecasting is to deal with the uncertainty of the future. An accurate Forecasting should be timely available, accurate, reliable and compatible with existing database. Accurate projection of the future is highly demanding for supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earth quake prediction and many more. In this direction AI powered tools and techniques of forecasting plays a major role to improve the projection accuracy. AI powered forecasting software uses machine learning techniques 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. Moreover, AI forecasting tools are better in a sense that it can gradually improve its accuracy. In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts"--

Blockchain Technology for IoT Applications

Author : Seok-Won Lee,Irish Singh,Masoud Mohammadian
Publisher : Springer Nature
Page : 210 pages
File Size : 50,6 Mb
Release : 2021-03-16
Category : Technology & Engineering
ISBN : 9789813341227

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Blockchain Technology for IoT Applications by Seok-Won Lee,Irish Singh,Masoud Mohammadian Pdf

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.

Artificial Intelligence Methods in the Environmental Sciences

Author : Sue Ellen Haupt,Antonello Pasini,Caren Marzban
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 52,6 Mb
Release : 2008-11-28
Category : Science
ISBN : 9781402091193

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

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

From the Divine to the Human

Author : Muhammad U. Faruque,Mohammed Rustom
Publisher : Taylor & Francis
Page : 239 pages
File Size : 43,5 Mb
Release : 2023-06-28
Category : Religion
ISBN : 9781000892659

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From the Divine to the Human by Muhammad U. Faruque,Mohammed Rustom Pdf

Featuring the work of leading contemporary Muslim philosophers and theologians, this book grapples with various forms of evil and suffering in the world today, from COVID-19 and issues in climate change to problems in palliative care and human vulnerability. Rather than walking down well-trodden paths in philosophy of religion which often address questions of evil and suffering by focusing on divine attributes and the God-world relationship, this volume offers another path of inquiry by focusing on human vulnerability, potential, and resilience. Addressing both the theoretical and practical dimensions of the question of evil, topics range from the transformative power of love, virtue ethics in Sufism and the necessity of suffering, to the spiritual significance of the body and Islamic perspectives on embodiment. In doing so, the contributors propose new perspectives based on various pre-modern and contemporary materials that can enrich the emerging field of the global philosophy of religion, thereby radically transforming contemporary debates on the nature of evil and suffering. The book will appeal to researchers in a variety of disciplines, including Islamic philosophy, religious studies, Sufism, and theology.

Sustainable Agriculture Systems and Technologies

Author : Pavan Kumar,A. K. Pandey,Susheel Kumar Singh,S. S. Singh,V. K. Singh
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 54,8 Mb
Release : 2022-03-14
Category : Technology & Engineering
ISBN : 9781119808534

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Sustainable Agriculture Systems and Technologies by Pavan Kumar,A. K. Pandey,Susheel Kumar Singh,S. S. Singh,V. K. Singh Pdf

Sustainable Agriculture Systems and Technologies A robust treatment of traditional and new techniques in sustainable agriculture In Sustainable Agriculture Systems and Technologies, a team of distinguished researchers delivers an up-to-date and comprehensive exploration of sustainable agriculture and its relationship to the drivers of climate change. Along with robust examinations of food security and the agrarian livelihood, the book covers the impact of climate change and variability on agriculture, water management in agricultural systems, and precision agriculture. This book represents a significant contribution to the scientific understanding of the application of technologies that address food insecurity and climate change through sustainable productivity, system diversification, irrigation practices, crop modeling, data analytics, and agricultural policy. It also explores the risks and benefits of different agricultural systems under changing climate scenarios. The book also offers: A thorough introduction to agriculture and food security, including the diversification of ecosystems and the impact of Covid-19 lockdowns on food security and smallholder agricultural systems Comprehensive explorations of crop diversification and the impacts of climate variability on food security in Indonesia Practical discussions of water conservation agriculture and the quality of irrigation water for sustainable agriculture development in India In-depth examinations of geoinformatics, artificial intelligence, sensor technology, and big data Perfect for academics, scientists, environmentalists, and environmental consultants, Sustainable Agriculture Systems and Technologies will also earn a place in the libraries of computing experts working in the field of agricultural science.

Climate Change Adaptation in Africa

Author : Walter Leal Filho,Simane Belay,Jokasha Kalangu,Wuta Menas,Pantaleo Munishi,Kumbirai Musiyiwa
Publisher : Springer
Page : 746 pages
File Size : 51,7 Mb
Release : 2017-03-27
Category : Science
ISBN : 9783319495200

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Climate Change Adaptation in Africa by Walter Leal Filho,Simane Belay,Jokasha Kalangu,Wuta Menas,Pantaleo Munishi,Kumbirai Musiyiwa Pdf

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.

Encyclopedia of Data Warehousing and Mining

Author : Wang, John
Publisher : IGI Global
Page : 1382 pages
File Size : 54,9 Mb
Release : 2005-06-30
Category : Computers
ISBN : 9781591405597

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Encyclopedia of Data Warehousing and Mining by Wang, John Pdf

Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.