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Machine Learning In Geohazard Risk Prediction And Assessment


Machine Learning In Geohazard Risk Prediction And Assessment
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Machine Learning In Geohazard Risk Prediction And Assessment


Machine Learning In Geohazard Risk Prediction And Assessment
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Author : Biswajeet Pradhan
language : en
Publisher: Elsevier
Release Date : 2025-07-01

Machine Learning In Geohazard Risk Prediction And Assessment written by Biswajeet Pradhan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Science categories.


Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping presents an overview of the most recent developments in machine learning techniques that have reshaped our understanding of geo-materials and management protocols of geo-risk. The book covers a broad category of research on machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics-based numerical modeling, to regional susceptibility mapping. This is a good reference for researchers, academicians, graduate and undergraduate students, professionals, and practitioners in the field of geotechnical engineering and applied geology. - Introduces machine-learning techniques in the risk management of geo-hazards, particularly recent developments - Covers a broader category of research and machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics-based numerical modeling, to regional susceptibility mapping - Contains contributions from top researchers around the world, including authors from the UK, USA, Australia, Austria, China, and India



Integration Of State Of Art Techniques For Landslide Hazard Assessment And For The Mitigation Caused By The Subsequent Multimodal Disaster


Integration Of State Of Art Techniques For Landslide Hazard Assessment And For The Mitigation Caused By The Subsequent Multimodal Disaster
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Author : Yih-Chin Tai
language : en
Publisher: Frontiers Media SA
Release Date : 2022-10-07

Integration Of State Of Art Techniques For Landslide Hazard Assessment And For The Mitigation Caused By The Subsequent Multimodal Disaster written by Yih-Chin Tai and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-07 with Science categories.




Proceedings Of The 2024 5th International Conference On Civil Architecture And Disaster Prevention And Control Cadpc 2024


Proceedings Of The 2024 5th International Conference On Civil Architecture And Disaster Prevention And Control Cadpc 2024
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Author : Peng Liu
language : en
Publisher: Springer Nature
Release Date : 2024-06-13

Proceedings Of The 2024 5th International Conference On Civil Architecture And Disaster Prevention And Control Cadpc 2024 written by Peng Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-13 with Technology & Engineering categories.


This is an open access book.2024 5th International Conference on Civil, Architecture and Disaster Prevention and Control (CADPC 2024) will be held during March 8-10, 2024 in Xi'an, China. CADPC 2024 focus on construction technology, disaster prediction, disaster prevention and control, and post-disaster reconstruction. The conference will provide a platform for scholars from universities at home and abroad, researchers and engineers to share research results and cutting-edge technologies. All attendants will get the chance to know about updated academic trends, develop new way of thinking, improve academic research and discussions, and promote industrialization of research findings.



Ai And Emerging Technologies For Emergency Response And Smart Cities


Ai And Emerging Technologies For Emergency Response And Smart Cities
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Author : Mobo, Froilan D.
language : en
Publisher: IGI Global
Release Date : 2025-04-23

Ai And Emerging Technologies For Emergency Response And Smart Cities written by Mobo, Froilan D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Technology & Engineering categories.


Emerging technologies are transforming diverse industries, enhancing efficiency and safety. Artificial intelligence (AI), in particular, can be useful for enhancing emergency response systems and developing smart cities and campuses. They can be leveraged to improve urban safety, streamline emergency management, and create sustainable smart environments. As a result, AI is an innovative solution for creating a safer future. AI and Emerging Technologies for Emergency Response and Smart Cities provides insights into the latest technological advancements and discusses the challenges, ethical considerations, and future directions in the rapidly evolving field of urban development. Covering topics such as disaster risk management, weapon identification, and early warning systems, this book is an excellent resource for urban developers, policymakers, professionals, researchers, scholars, academicians, and more.



Monitoring Early Warning And Mitigation Of Natural And Engineered Slopes Volume Iv


Monitoring Early Warning And Mitigation Of Natural And Engineered Slopes Volume Iv
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Author : Wen Nie
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-27

Monitoring Early Warning And Mitigation Of Natural And Engineered Slopes Volume Iv written by Wen Nie and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-27 with Science categories.


Natural and engineered slopes are widely distributed worldwide, including mountain slopes, highway slopes, mine slopes, reservoir dams, etc. These slopes could become unstable due to natural factors or human activities, causing catastrophic loss of life and infrastructure destruction. Therefore, these slopes require constant monitoring to provide early warning and enable mitigation. Advanced monitoring equipment, information technology, and multidisciplinary interaction theories have created new opportunities and challenges in this discipline. Recently, advanced monitoring devices, information technologies, and multidisciplinary intersection theories have contributed to the monitoring, early warning and mitigation of natural and engineered slopes. However, effective and efficient monitoring, precise early warning, low-cost and low-timeconsuming remediation, and reliable risk assessment remain obstacles. This Research Topic aims to present the most recent innovative advancements and state-of-the-art natural and engineered slope monitoring, early warning, mitigation, and risk assessment.



Geo Information For Geohazard And Georisk


Geo Information For Geohazard And Georisk
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Author : Lixin Wu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-10-03

Geo Information For Geohazard And Georisk written by Lixin Wu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-03 with Science categories.




Proceedings Of The 2nd International Conference On Green Energy Environment And Sustainable Development Geesd2021


Proceedings Of The 2nd International Conference On Green Energy Environment And Sustainable Development Geesd2021
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Author : D. Dobrotă
language : en
Publisher: IOS Press
Release Date : 2021-12-21

Proceedings Of The 2nd International Conference On Green Energy Environment And Sustainable Development Geesd2021 written by D. Dobrotă and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-21 with Technology & Engineering categories.


The need for green technologies and solutions which will deliver the energy requirements of both the developed and developing world to support sustainability and protect the environment worldwide has never been more urgent. This book contains the proceedings of the 2nd International Conference on Green Energy, Environment and Sustainable Development (GEESD2021) which, due to the COVID-19 pandemic around the world and with the strict travel restrictions in China, was held as a hybrid conference (both physically and online via Zoom) in Shanghai, China on 26 and 27 June 2021. It provided an opportunity to bring together an international community of leading scientists, researchers, engineers and academics, as well as industrial professionals, to exchange and share their experiences and research results in the energy, environment and sustainable development sector. In total, 80 participants were able to exchange knowledge and discuss the latest developments in the field. GEESD2021 attracted more than 250 submissions, 88 of which were accepted after an extensive period of peer review by more than 100 reviewers and members of the program committee. These are included here, grouped into 3 sections, with 28 papers on sustainable energy; 34 on ecology; and 26 papers covering environmental pollution and protection. Offering an overview of the most up-to-date findings and technologies in the field of sustainable energy and environmental protection, the book will be of interest to all those working in this field.



Engineering Geology For A Habitable Earth Iaeg Xiv Congress 2023 Proceedings Chengdu China


Engineering Geology For A Habitable Earth Iaeg Xiv Congress 2023 Proceedings Chengdu China
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Author : Sijing Wang
language : en
Publisher: Springer Nature
Release Date : 2024-08-30

Engineering Geology For A Habitable Earth Iaeg Xiv Congress 2023 Proceedings Chengdu China written by Sijing Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Science categories.


This book collects the selected papers of the XIV Congress of the International Association for Engineering Geology and the Environment held in Chengdu, Sichuan, China from September 21st - 27th, 2023, with the theme of Engineering Geology for a Habitable Earth. The meeting proceedings analyses the dynamic role of engineering geology in our changing world. The congress is expected to enhance the inter-disciplinary research development of international engineering geology and the environment, and contribute to the advancement of major projects, ecological progress, and habitable earth with in-depth discussion in the area of engineering geology and global climate change, geological hazard assessment and prevention, geotechnical properties of rock and soil mass, engineering geology and the environmental issues concerning marine, transportation, urban and ecological environment protection, engineering geology and resilience engineering construction, intelligent engineering geology, and new theories, methods, and techniques in engineering geology.



Intelligent Interpretation For Geological Disasters


Intelligent Interpretation For Geological Disasters
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Author : Weitao Chen
language : en
Publisher: Springer Nature
Release Date : 2023-09-12

Intelligent Interpretation For Geological Disasters written by Weitao Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-12 with Nature categories.


This book comprehensively utilizes the new generation of artificial intelligence and remote sensing science and technology to systematically carry out researches on high-precision recognition, monitoring, analysis, and assessment of geological disasters by using different technologies of "ground, airspace, and space-based systems" and different scales of "target-semantic-region". The main contents include: 1) Intelligent interpretation theory and methods of geological disasters, 2) Intelligent analysis of landslide based on long-term ground monitoring data, 3) Intelligent analysis of landslide evolution based on optical satellite remote sensing data, 4) Deep learning-based remote sensing detection of landslide, 5) Intelligent assessment methods of landslide susceptibility, 6) Intelligent recognition of ground figure based on airspace-based remote sensing data. The book is of interest to graduate student, scientific, and technological personnel who work in the area of geological disasters, natural hazards, remote sensing, and artificial intelligence.



Explainable Machine Learning For Geospatial Data Analysis


Explainable Machine Learning For Geospatial Data Analysis
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Author : Courage Kamusoko
language : en
Publisher: CRC Press
Release Date : 2024-12-06

Explainable Machine Learning For Geospatial Data Analysis written by Courage Kamusoko and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Technology & Engineering categories.


Explainable machine learning (XML), a subfield of AI, is focused on making complex AI models understandable to humans. This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric, explainable machine learning approach to obtain new insights from geospatial data. It presents the opportunities, challenges, and gaps in the machine and deep learning approaches for geospatial data analysis and how they are applied to solve various environmental problems in land cover changes and in modeling forest canopy height and aboveground biomass density. The author also includes guidelines and code scripts (R, Python) valuable for practical readers. Features Data-centric explainable machine learning (ML) approaches for geospatial data analysis. The foundations and approaches to explainable ML and deep learning. Several case studies from urban land cover and forestry where existing explainable machine learning methods are applied. Descriptions of the opportunities, challenges, and gaps in data-centric explainable ML approaches for geospatial data analysis. Scripts in R and python to perform geospatial data analysis, available upon request. This book is an essential resource for graduate students, researchers, and academics working in and studying data science and machine learning, as well as geospatial data science professionals using GIS and remote sensing in environmental fields.