Application Of Soft Computing Machine Learning Deep Learning And Optimizations In Geoengineering And Geoscience
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Application Of Soft Computing Machine Learning Deep Learning And Optimizations In Geoengineering And Geoscience
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Author : Wengang Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-10-12
Application Of Soft Computing Machine Learning Deep Learning And Optimizations In Geoengineering And Geoscience written by Wengang Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-12 with Science categories.
This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience. Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience. Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering.
Nanorevolution
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Author : Abderrahman Abbassi
language : en
Publisher: CRC Press
Release Date : 2025-06-16
Nanorevolution written by Abderrahman Abbassi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Technology & Engineering categories.
As the global push toward energy accelerates, NanoRevolution: Unveiling the Future of Energy through Advanced Materials and Digital Technologies brings forward a powerful vision of how advanced materials and digital technologies are redefining energy solutions. This comprehensive resource navigates the frontiers of nanotechnology, artificial intelligence (AI), and IoT applications within the renewable energy sector, presenting innovative strategies that address today’s most pressing energy challenges. Across 15 chapters, NanoRevolution covers transformative advancements in photovoltaic and energy storage technologies. It explores the application of density functional theory (DFT) in developing high-efficiency, lead-free solar cells, new methodologies for enhancing MXenes-based materials, and emerging AI-powered solutions for energy optimization and predictive maintenance. The book also examines IoT-driven innovations in photovoltaic systems and provides a high-level overview of blockchain's potential in secure energy transactions. This book is an invaluable guide for researchers, engineers, and industry professionals focused on next-generation energy solutions, offering both theoretical depth and practical applications to drive progress toward a sustainable energy future.
Proceedings Of The 8th Global Conference On Business Management And Entrepreneurship Gcbme 2023
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Author : Ratih Hurriyati
language : en
Publisher: Springer Nature
Release Date : 2024-06-24
Proceedings Of The 8th Global Conference On Business Management And Entrepreneurship Gcbme 2023 written by Ratih Hurriyati and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Business & Economics categories.
This is an open access book. We would like to invite you to join our The 8th Global Conference on Business, Management and Entrepreneurship. The conference will be held in GH Universal Hotel Bandung, Indonesia, on August 8th, 2023 with topic Digital-Based Business in Improving Community Creative Economy Growth in the New Normal Era Conference Scope & Topics: Organizational Behavior, Leadership and Human Resources Management Innovation, IT, Operations and Supply Chain Management Marketing Management, Financial Management and Accounting, Economics Education Strategic Management, Entrepreneurship and Contemporary Issues, Green Business
Deep Learning For Earth Observation And Climate Monitoring
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Author : Uzair Aslam Bhatti
language : en
Publisher: Elsevier
Release Date : 2025-03-19
Deep Learning For Earth Observation And Climate Monitoring written by Uzair Aslam Bhatti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Science categories.
Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies. - Introduces deep learning for classification, covering recent improvements in image segmentation and encoding priors, anomaly detection and target recognition, and domain adaptability - Includes both learning representations and unsupervised deep learning, covering deep learning picture fusion, regression, parameter retrieval, forecasting, and interpolation from a practical standpoint - Provides a number of physics-aware deep learning models, including the code and the parameterization of models on a companion website, as well as links to relevant data repositories, allowing readers to test techniques themselves
Application Of Machine Learning In Slope Stability Assessment
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Author : Zhang Wengang
language : en
Publisher: Springer Nature
Release Date : 2023-07-08
Application Of Machine Learning In Slope Stability Assessment written by Zhang Wengang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-08 with Technology & Engineering categories.
This book focuses on the application of machine learning in slope stability assessment. The contents include: overview of machine learning approaches, the mainstream smart in-situ monitoring techniques, the applications of the main machine learning algorithms, including the supervised learning, unsupervised learning, semi- supervised learning, reinforcement learning, deep learning, ensemble learning, etc., in slope engineering and landslide prevention, introduction of the smart in-situ monitoring and slope stability assessment based on two well-documented case histories, the prediction of slope stability using ensemble learning techniques, the application of Long Short-Term Memory Neural Network and Prophet Algorithm in Slope Displacement Prediction, displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks, seismic stability analysis of slopes subjected to water level changes using gradient boosting algorithms, efficient reliability analysis of slopes in spatially variable soils using XGBoost, efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms, as well as the future work recommendation.The authors also provided their own thoughts learnt from these applications as well as work ongoing and future recommendations.
Some Of Us
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Author : Xueping Zhong
language : en
Publisher: Rutgers University Press
Release Date : 2001
Some Of Us written by Xueping Zhong and has been published by Rutgers University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Biography & Autobiography categories.
Some of Us is a collection of memoirs by nine Chinese women who grew up during the Mao era. All hail from urban backgrounds and all have obtained their Ph.D.s in the United States; thus, their memories are informed by intellectual training and insights that only distance can allow. Each of the chapters--arranged by the age of the author--is crafted by a writer who reflects back to that time in a more nuanced manner than has been possible for Western observers. The authors attend to gender in a way that male writers have barely noticed and reflect on their lives in the United States.
Mining Goes Digital
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Author : Christoph Mueller
language : en
Publisher: CRC Press
Release Date : 2019-05-22
Mining Goes Digital written by Christoph Mueller and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-22 with Technology & Engineering categories.
The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in: - Geostatistics and Resource Estimation - Mine Planning - Scheduling and Dispatch - Mine Safety and Mine Operation - Internet of Things, Robotics - Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in Mining Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas.
Application Of Soft Computing And Intelligent Methods In Geophysics
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Author : Alireza Hajian
language : en
Publisher: Springer
Release Date : 2018-06-21
Application Of Soft Computing And Intelligent Methods In Geophysics written by Alireza Hajian and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-21 with Science categories.
This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for the automatic and/or intelligent processing and interpretation of geophysical data.
Information Technology In Geo Engineering
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Author : António Gomes Correia
language : en
Publisher: Springer Nature
Release Date : 2019-09-24
Information Technology In Geo Engineering written by António Gomes Correia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-24 with Science categories.
These proceedings address the latest developments in information communication and technologies for geo-engineering. The 3rd International Conference on Information Technology in Geo-Engineering (ICITG 2019), held in Guimarães, Portugal, follows the previous successful installments of this conference series in Durham (2014) and Shanghai (2010). The respective chapters cover the following: Use of information and communications technologies Big data and databases Data mining and data science Imaging technologies Building information modelling applied to geo-structures Artificial intelligence Smart geomaterials and intelligent construction Sensors and monitoring Asset management Case studies on design, construction and maintenance Given its broad range of coverage, the book will benefit students, educators, researchers and professional practitioners alike, encouraging these readers to help take the geo-engineering community into the digital age
Numerical Methods In Geotechnical Engineering
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Author : Thomas Benz
language : en
Publisher: CRC Press
Release Date : 2010-05-25
Numerical Methods In Geotechnical Engineering written by Thomas Benz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-25 with Technology & Engineering categories.
Numerical Methods in Geotechnical Engineering contains 153 scientific papers presented at the 7th European Conference on Numerical Methods in Geotechnical Engineering, NUMGE 2010, held at Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, 2 4 June 2010.The contributions cover topics from emerging research to engineering pra