Emerging Ai Applications In Earth Sciences Challenges Impact And Analysis
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Emerging Ai Applications In Earth Sciences Challenges Impact And Analysis
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Author : Chander Prabha
language : en
Publisher:
Release Date : 2025-08-11
Emerging Ai Applications In Earth Sciences Challenges Impact And Analysis written by Chander Prabha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Computers categories.
This proposed book provides deeper insights into artificial intelligence techniques and procedures available for earth sciences. This book unveils several applications of metaheuristic approaches (i.e., swarm intelligence and IoT technologies) in collaboration with AI for earth sciences. It presents the science behind smart technologies that reveal the power of artificial intelligence and IoT. These methodologies help to extract meaningful insights from earth sciences big data analytics. These advanced technologies used in earth science practices can remove geographical barriers, locally adaptive, operationally feasible, and economically affordable. The areas can be explored with the aim of digitizing the whole world. Technological advancement also impacts the financial aspect involved in managing the earth sciences. Intelligent AI applications have made significant strides in the field of earth sciences, offering novel solutions to complex challenges, driving impactful research, and revolutionizing data analysis and interpretation. This intersection of artificial intelligence and earth sciences has paved the way for an enhanced understanding of our planet and its various phenomena.
Emerging Ai Applications In Earth Sciences
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Author : Chander Prabha
language : en
Publisher: Springer Nature
Release Date : 2025-08-03
Emerging Ai Applications In Earth Sciences written by Chander Prabha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-03 with Computers categories.
This proposed book provides deeper insights into artificial intelligence techniques and procedures available for earth sciences. This book unveils several applications of metaheuristic approaches (i.e., swarm intelligence and IoT technologies) in collaboration with AI for earth sciences. It presents the science behind smart technologies that reveal the power of artificial intelligence and IoT. These methodologies help to extract meaningful insights from earth sciences big data analytics. These advanced technologies used in earth science practices can remove geographical barriers, locally adaptive, operationally feasible, and economically affordable. The areas can be explored with the aim of digitizing the whole world. Technological advancement also impacts the financial aspect involved in managing the earth sciences. Intelligent AI applications have made significant strides in the field of earth sciences, offering novel solutions to complex challenges, driving impactful research, and revolutionizing data analysis and interpretation. This intersection of artificial intelligence and earth sciences has paved the way for an enhanced understanding of our planet and its various phenomena.
The 1995 Goddard Conference On Space Applications Of Artificial Intelligence And Emerging Information Technologies
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Author : Carl F. Hostetter
language : en
Publisher:
Release Date : 1995
The 1995 Goddard Conference On Space Applications Of Artificial Intelligence And Emerging Information Technologies written by Carl F. Hostetter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
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.
Artificial Intelligence And Evaluation
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Author : Steffen Bohni Nielsen
language : en
Publisher: Taylor & Francis
Release Date : 2024-09-25
Artificial Intelligence And Evaluation written by Steffen Bohni Nielsen and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-25 with Political Science categories.
Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies. In an era where digital technologies and artificial intelligence (AI) are rapidly evolving, this book presents a pivotal resource for evaluators navigating the transformative intersection of their practice and cutting-edge technology. Addressing the dual dimensions of how evaluations are conducted and what is evaluated, a roster of distinguished contributors illuminate the impact of AI on program evaluation methodologies. Offering a discerning overview of various digital technologies, their promises and perils, they carefully dissect the implications for evaluative processes and debate how evaluators must be equipped with the requisite skills to harness the full potential of AI tools. Further, the book includes a number of compelling use cases, demonstrating the tangible applications of AI in diverse evaluation scenarios. The use cases range from the application of GIS data to advanced text analytics. As such, this book provides evaluators with inspirational cases on how to apply AI in their practice as well as what pitfalls one must look out for. Artificial Intelligence and Evaluation is an indispensable guide for evaluators seeking to not only adapt to but thrive in the dynamic landscape of evaluation practices reshaped by the advent of artificial intelligence. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Data Analytics And Artificial Intelligence For Earth Resource Management
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Author : Deepak Kumar
language : en
Publisher: Elsevier
Release Date : 2024-11-13
Data Analytics And Artificial Intelligence For Earth Resource Management written by Deepak Kumar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Science categories.
Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources. - Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management - Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management - Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging
Artificial Intelligence In Earth Science
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Author : Ziheng Sun
language : en
Publisher: Elsevier
Release Date : 2023-04-27
Artificial Intelligence In Earth Science written by Ziheng Sun and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-27 with Science categories.
Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive, step-by-step guide to AI workflows for solving problems in Earth Science. The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience. The book tackles the complexity of Earth system problems in AI engineering, fully guiding geoscientists who are planning to implement AI in their daily work. - Provides practical, step-by-step guides for Earth Scientists who are interested in implementing AI techniques in their work - Features case studies to show real-world examples of techniques described in the book - Includes additional elements to help readers who are new to AI, including end-of-chapter, key concept bulleted lists that concisely cover key concepts in the chapter
Radar
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Author : Alessandro Vinciarelli
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-07-21
Radar written by Alessandro Vinciarelli and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-21 with Computers categories.
The integration of Radio Detection and Ranging (RADAR) remote sensing and Artificial Intelligence (AI) provides a platform for understanding various Earth's surface processes and their predictive analysis. This book offers state-of-the-art techniques and applications to address real-time challenges through AI-based RADAR remote sensing. Furthermore, it explores the potential applications of AI in emerging areas of remote sensing and image processing.
Risk Analytics
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Author : Eduardo Rodriguez
language : en
Publisher: CRC Press
Release Date : 2023-08-08
Risk Analytics written by Eduardo Rodriguez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-08 with Business & Economics categories.
The 2022 World Economic Forum surveyed 1,000 experts and leaders who indicated their risk perception that the earth’s conditions for humans are a main concern in the next 10 years. This means environmental risks are a priority to study in a formal way. At the same time, innovation risks are present in theminds of leaders, newknowledge brings new risk, and the adaptation and adoption of risk knowledge is required to better understand the causes and effects can have on technological risks. These opportunities require not only adopting new ways of managing and controlling emerging processes for society and business, but also adapting organizations to changes and managing new risks. Risk Analytics: Data-Driven Decisions Under Uncertainty introduces a way to analyze and design a risk analytics system (RAS) that integrates multiple approaches to risk analytics to deal with diverse types of data and problems. A risk analytics system is a hybrid system where human and artificial intelligence interact with a data gathering and selection process that uses multiple sources to the delivery of guidelines to make decisions that include humans and machines. The RAS system is an integration of components, such as data architecture with diverse data, and a risk analytics process and modeling process to obtain knowledge and then determine actions through the new knowledge that was obtained. The use of data analytics is not only connected to risk modeling and its implementation, but also to the development of the actionable knowledge that can be represented by text in documents to define and share explicit knowledge and guidelines in the organization for strategy implementation. This book moves from a review of data to the concepts of a RAS. It reviews RAS system components required to support the creation of competitive advantage in organizations through risk analytics. Written for executives, analytics professionals, risk management professionals, strategy professionals, and postgraduate students, this book shows a way to implement the analytics process to develop a risk management practice that creates an adaptive competitive advantage under uncertainty.
Multidisciplinary Research In Arts Science Commerce Volume 11
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Author : Chief Editor- Biplab Auddya, Editor- Dr. B. Deepa, Dr. Navanath Wajage, Prof. Dr. Alok Satsangi, Vidwan Manjesh M, Dr. Savitha V, Kera Ram
language : en
Publisher: The Hill Publication
Release Date : 2024-11-05
Multidisciplinary Research In Arts Science Commerce Volume 11 written by Chief Editor- Biplab Auddya, Editor- Dr. B. Deepa, Dr. Navanath Wajage, Prof. Dr. Alok Satsangi, Vidwan Manjesh M, Dr. Savitha V, Kera Ram and has been published by The Hill Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Antiques & Collectibles categories.