An Artificial Intelligence Ai Based Model For Optimal Exploratory Surveys
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An Artificial Intelligence Ai Based Model For Optimal Exploratory Surveys
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Author : Aref Shirazi
language : en
Publisher: GRIN Verlag
Release Date : 2024-03-01
An Artificial Intelligence Ai Based Model For Optimal Exploratory Surveys written by Aref Shirazi and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with Juvenile Nonfiction categories.
Exploratory surveys (geochemical and geophysical) are important and basic steps in the mineral exploration; The importance of this stage includes several reasons that are intertwined; First, the precision and accuracy of the measured data compared to the investigated community, whether they are representative of it or not, and can the data be used as representative of the community in future studies? Second, the density of exploratory surveys that is directly related to management resources (Time, cost, human and equipment); Third, the exact location of the exploration, which must be purposefully selected, so that optimal results can be obtained by spending the least amount of resources.
An Artificial Intelligence Based Model For Optimal Exploratory Surveys
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Author : Aref Shirazi
language : en
Publisher: LAMBERT Academic Publishing
Release Date : 2024-01-01
An Artificial Intelligence Based Model For Optimal Exploratory Surveys written by Aref Shirazi and has been published by LAMBERT Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-01 with Computers categories.
exploratory surveys (geochemical and geophysical) are important and basic steps in the mineral exploration; The importance of this stage includes several reasons that are intertwined; First, the precision and accuracy of the measured data compared to the investigated community, whether they are representative of it or not, and can the data be used as representative of the community in future studies? Second, the density of exploratory surveys that is directly related to management resources (Time, cost, human and equipment); Third, the exact location of the exploration, which must be purposefully selected, so that optimal results can be obtained by spending the least amount of resources.
Proceedings Of The 2nd International Conference On Internet Education And Information Technology Ieit 2022
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Author : Ahmed El-Hashash
language : en
Publisher: Springer Nature
Release Date : 2023-02-10
Proceedings Of The 2nd International Conference On Internet Education And Information Technology Ieit 2022 written by Ahmed El-Hashash and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Social Science categories.
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. To adapt to this changing world and China's fast development in this new area, the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) is to be held in April 15-17, 2022. This conference takes “bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on research fields including information technology, education, big data, and Internet. This conference aims to expand channels of international academic exchange in science and technology, build a sharing platform of academic resources, promote scientific innovation on the global scale, improve academic cooperation between China and the outside world. It also aims to encourage exchange of information on research frontiers in different fields, connect the most advanced academic resources in China and abroad, turn research results into industrial solutions, bring together talents, technologies and capital to boost development.aaaa
Preclinical Cancer Models For Translational Research And Drug Development
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Author : Suresh P.K.
language : en
Publisher: Springer Nature
Release Date : 2025-03-13
Preclinical Cancer Models For Translational Research And Drug Development written by Suresh P.K. and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Medical categories.
This book provides updated information on certain in vitro and preclinical in vivo cancer models. The topics covered include an update on advancements in the diagnosis, treatment and heterogeneity in certain cancers; the development of preclinical in vitro and xenograft-based in vivo cancer models as well as their validation based on widely accepted biomarkers; modelling of aberrations in bioenergetics in cancers. Also, the importance and latest advances of in silico modeling for the design of new and potent anti-cancer drugs has been reviewed. Cutting-edge and resourceful, this book is valuable for researchers, academicians, and professionals involved in cancer research.
Data Science Exploration In Artificial Intelligence
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Author : Gururaj H L
language : en
Publisher: CRC Press
Release Date : 2025-02-26
Data Science Exploration In Artificial Intelligence written by Gururaj H L and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Computers categories.
The book captures the essence of the International Conference on Data Science & Exploration in Artificial Intelligence and offers a comprehensive exploration of cutting-edge research in AI, data science, and their applications. It covers a wide array of topics including advanced Data Science, IoT, Security, Cloud Computing, Networks, Security, Image, Video and Signal Processing, Computational Biology, Computer and Information Technology. It highlights innovative research contributions and practical applications, offering readers a detailed understanding of current trends and challenges. The findings emphasize the role of global collaboration and interdisciplinary approaches in pushing the boundaries of AI and data science. Selected papers published by Taylor and Francis showcase pioneering work that is shaping the future of these fields. This is an ideal read for AI and data science researchers, industry professionals, and students seeking to stay updated on the latest advancements and ethical considerations in these areas.
The Power Of Artificial Intelligence For The Next Generation Oil And Gas Industry
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Author : Pethuru Raj Chelliah
language : en
Publisher: John Wiley & Sons
Release Date : 2023-12-04
The Power Of Artificial Intelligence For The Next Generation Oil And Gas Industry written by Pethuru Raj Chelliah 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 2023-12-04 with Computers categories.
The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.
Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models
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Author : Jorge Garza Ulloa
language : en
Publisher: Elsevier
Release Date : 2021-11-30
Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models written by Jorge Garza Ulloa and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-30 with Science categories.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. - Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems - Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems - Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others - Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients
The Use Of Artificial Intelligence For Space Applications
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Author : Cosimo Ieracitano
language : en
Publisher: Springer Nature
Release Date : 2023-06-16
The Use Of Artificial Intelligence For Space Applications written by Cosimo Ieracitano and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Technology & Engineering categories.
This book is an ideal and practical resource on the potential impact Artificial Intelligence (AI) can have in space sciences and applications. AI for Space Application presents a hands-on approach to browse in the subject and to learning how to do. AI is not yet fully accepted as a pervasive technology in space applications because they are often mission-critical and the cost of space equipment and modules raises skepticism on any practical use and reliability. However, it is evident that its potential impact on many aspects is dramatic. Starting from either actual or experimental realizations, the book accompanies the reader through such fascinating subjects like space exploration, autonomous navigation and landing, rover control and guidance on rough surfaces, image analysis automation for planet or star classification, and for space debris avoidance without human intervention. This kind of approach may facilitate further investigations on the same or similar subjects, as the future of space explorations is going toward adopting AI. The intended audience of the book are researchers from academia and space industries and practitioners in related start-ups.
Innovative Approaches To Multidisciplinary Exploration
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Author : Dr. Uma Devi C.K.
language : en
Publisher: REDSHINE Publication
Release Date : 2025-05-21
Innovative Approaches To Multidisciplinary Exploration written by Dr. Uma Devi C.K. and has been published by REDSHINE Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Education categories.
Edited by Dr. Uma Devi C.K., Prof Amos R, Dr. Gayathri J.U., Ms. S. Kirutheeba, Dr. Devansh Desai
Artificial Intelligence And Machine Learning In Health Care And Medical Sciences
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Author : Gyorgy J. Simon
language : en
Publisher: Springer Nature
Release Date : 2024-03-04
Artificial Intelligence And Machine Learning In Health Care And Medical Sciences written by Gyorgy J. Simon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-04 with Medical categories.
This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfallsis a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic.