Meta Attributes And Artificial Networking
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Meta Attributes And Artificial Networking
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Author : Kalachand Sain
language : en
Publisher: John Wiley & Sons
Release Date : 2022-06-24
Meta Attributes And Artificial Networking written by Kalachand Sain 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 2022-06-24 with Science categories.
Applying machine learning to the interpretation of seismic data Seismic data gathered on the surface can be used to generate numerous seismic attributes that enable better understanding of subsurface geological structures and stratigraphic features. With an ever-increasing volume of seismic data available, machine learning augments faster data processing and interpretation of complex subsurface geology. Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation explores how artificial neural networks can be used for the automatic interpretation of 2D and 3D seismic data. Volume highlights include: Historic evolution of seismic attributes Overview of meta-attributes and how to design them Workflows for the computation of meta-attributes from seismic data Case studies demonstrating the application of meta-attributes Sets of exercises with solutions provided Sample data sets available for hands-on exercises The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Artificial Intelligence For A More Sustainable Oil And Gas Industry And The Energy Transition
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Author : Mohammadali Ahmadi
language : en
Publisher: Elsevier
Release Date : 2024-07-13
Artificial Intelligence For A More Sustainable Oil And Gas Industry And The Energy Transition written by Mohammadali Ahmadi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-13 with Technology & Engineering categories.
Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry's pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry. - Reviews the use and applications of AI in energy transition of the oil and gas sectors - Provides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowcharts - Showcases the successful implementation of AI in the industry (including geothermal energy)
Proceedings Of The 10th Asian Mining Congress 2023
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Author : Amalendu Sinha
language : en
Publisher: Springer Nature
Release Date : 2023-10-25
Proceedings Of The 10th Asian Mining Congress 2023 written by Amalendu Sinha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Science categories.
Rising concern about climate change and strong societal expectations with increasing complexities of mineral deposits being mined, call for more innovative exploration and exploitation technologies with higher productivity and recovery including eco-friendly strategies and policies in place for long term sustainability of the mineral Industry. It is now ardently necessary to identify and define the best mining practices addressing societal needs. In view of these, The Mining, Geological and Metallurgical Institute of India (MGMI), established way back on 16th January 1906, and one of the oldest institutions of this kind in the world, is organizing the 10th Asian Mining Congress (AMC) during November 06-09, 2023 in Kolkata, India with the Theme, “Roadmap for Best Mining Practices vis-à-vis Global Transformation”. The AMC and International Mining Exhibition (IME), held concurrently, are flagship international events organized by MGMI biennially since its centenary year. This series have provided ample opportunities to all stakeholders including practicing engineers, machinery manufacturers, planners, regulators, academicians, scientists and policy makers, for sharing their knowledge, experience and expertise and exhibit their products that can benefit the mining and mineral industries not only in the Asian region but also globally. This proceeding of 10th AMC contains the articles written by eminent persons and stalwarts in their respective domains. It is a collection of contemporary articles narrating recent advancements in mining sector.
Artificial Neural Networks Icann 2009
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Author : Cesare Alippi
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-03
Artificial Neural Networks Icann 2009 written by Cesare Alippi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-03 with Computers categories.
This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume is divided in topical sections on learning algorithms; computational neuroscience; hardware implementations and embedded systems; self organization; intelligent control and adaptive systems; neural and hybrid architectures; support vector machine; and recurrent neural network.
Artificial Neural Networks Icann 2007
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Author : Joaquim Marques de Sá
language : en
Publisher: Springer
Release Date : 2007-09-14
Artificial Neural Networks Icann 2007 written by Joaquim Marques de Sá and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-14 with Computers categories.
This book is the first of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, September 2007. Coverage includes advances in neural network learning methods, advances in neural network architectures, neural dynamics and complex systems, data analysis, evolutionary computing, agents learning, as well as temporal synchronization and nonlinear dynamics in neural networks.
Artificial Neural Networks Icann 2008
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Author : Vera Kurkova-Pohlova
language : en
Publisher: Springer
Release Date : 2008-09-08
Artificial Neural Networks Icann 2008 written by Vera Kurkova-Pohlova and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-08 with Computers categories.
This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.
Meta Attributes And Artificial Networking
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Author : Kalachand Sain
language : en
Publisher: John Wiley & Sons
Release Date : 2022-08-16
Meta Attributes And Artificial Networking written by Kalachand Sain 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 2022-08-16 with Science categories.
Applying machine learning to the interpretation of seismic data Seismic data gathered on the surface can be used to generate numerous seismic attributes that enable better understanding of subsurface geological structures and stratigraphic features. With an ever-increasing volume of seismic data available, machine learning augments faster data processing and interpretation of complex subsurface geology. Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation explores how artificial neural networks can be used for the automatic interpretation of 2D and 3D seismic data. Volume highlights include: Historic evolution of seismic attributes Overview of meta-attributes and how to design them Workflows for the computation of meta-attributes from seismic data Case studies demonstrating the application of meta-attributes Sets of exercises with solutions provided Sample data sets available for hands-on exercises The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Artificial Neural Networks And Machine Learning Icann 2011
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Author : Timo Honkela
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-14
Artificial Neural Networks And Machine Learning Icann 2011 written by Timo Honkela and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-14 with Computers categories.
This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.
Metaversepedia More Than Fun And Games A Very Serious Ontology Your Origin Point For The Quanta Of Quantum Universes Pleioverse Metaverse Macroverse Micraverse Concept Praxis Systems Networks
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Author : Anoop Bungay
language : en
Publisher: MQCC Meta Quality Conformity Control Organization incorporated as MortgageQuote Canada Corp.
Release Date : 2024-04-10
Metaversepedia More Than Fun And Games A Very Serious Ontology Your Origin Point For The Quanta Of Quantum Universes Pleioverse Metaverse Macroverse Micraverse Concept Praxis Systems Networks written by Anoop Bungay and has been published by MQCC Meta Quality Conformity Control Organization incorporated as MortgageQuote Canada Corp. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Science categories.
Visit www.mqcc.org to learn more.
Metaheuristics Based Materials Optimization
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Author : Harbinder Singh
language : en
Publisher: Elsevier
Release Date : 2025-02-27
Metaheuristics Based Materials Optimization written by Harbinder Singh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Technology & Engineering categories.
Metaheuristics-Based Materials Optimization: Enhancing Materials Applications provides a guide to using metaheuristics-based computational techniques to improve the design, performance, and broaden the applications of various materials. The book fuses optimization algorithms with materials engineering, enabling more accurate simulations and models for analyzing and predicting the behavior of materials under different conditions, allowing for design of materials with improved performance, durability, energy efficiency, cost-effectiveness, and other desired characteristics. Metaheuristic approaches for material synthesis and design, structural optimization, material characterization, property prediction, and process optimization are all covered, as are comparisons of different algorithms, step-by-step guidelines on how to implement them, and case studies of them being applied in real-world settings. - Provides a guide to using metaheuristics-based computational techniques to improve the design, performance, and broaden the applications of various materials - Presents real-world case studies as well as commonly encountered problems and their solutions - Allows for more accurate modeling, better material design, and development of materials tailored for specific applications