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  • InSAR and Deep Learning in Landslides Research: Intelligent Identification, Risk Assessment and Susceptibility Mapping

    by Yi He ...
    Series series Earth and Environmental Science (R0)
    This book combines remote sensing and deep learning technology to develop a variety of models in the study of different type landslides in a wide range of areas including northwest, southwest and southern China. It explores the application of various deep learning methods in landslide identification and sensitivity mapping. It also explores intelligent landslide monitoring and susceptibility ... Read more

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    Edited by Xiaofeng Li, Fan Wang ...
    Series series Earth and Environmental Science (R0)
    This open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. ... Read more

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  • Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022)

    Edited by Ika Hesti Agustin ...
    Series series Springer Nature Proceedings excluding Computer Science
    This is an open access book.The 1st ICONNSMAL 2022 was held at CGANT Research Group the University of Jember, Jember, East-Java, Indonesia. ... Read more

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  • Deep Learning for the Earth Sciences

    A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences

    DEEP LEARNING FOR THE EARTH SCIENCESExplore this insightful treatment of deep learning in the field of earth sciences, from four leading voicesDeep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered ... Read more

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  • Introduction to Transfer Learning

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    Series series Computer Science (R0)
    Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain ... Read more

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  • Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

    In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive ... Read more

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  • Intelligent Interpretation for Geological Disasters

    From Space-Air-Ground Integration Perspective

    Series series Earth and Environmental Science (R0)
    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 ... Read more

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  • Application of Machine Learning in Slope Stability Assessment

    Series series Engineering (R0)
    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 ... Read more

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  • Coseismic Landslides

    Intelligent Prediction and Recognition

    Series series Earth and Environmental Science (R0)
    Focusing on Habitable Earth for sustainability, this book develops novel and sophisticated deep learning algorithms and explores their successful application in intelligent prediction and recognition of coseismic landslides. These algorithms have originality and unique advantages in relatively high accuracy, low false alarms, strong generalization, and good interpretability. They were successfully ... Read more

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  • Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

    Series series Engineering (R0)
    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 ... Read more

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  • Change Detection and Image Time Series Analysis 2

    Supervised Methods

    Change Detection and Image Time Series Analysis 2 presents supervised machine-learning-based methods for temporal evolution analysis by using image time series associated with Earth observation data. Chapter 1 addresses the fusion of multisensor, multiresolution and multitemporal data. It proposes two supervised solutions that are based on a Markov random field: the first relies on a quad-tree and ... Read more

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  • Advances in Spatial Data Handling and GIS

    14th International Symposium on Spatial Data Handling

    Series series Springer Nature Proceedings excluding Computer Science
    This book provides a cross-section of cutting-edge research areas being pursued by researchers in spatial data handling and geographic information science (GIS). It presents selected papers on the advancement of spatial data handling and GIS in digital cartography, geospatial data integration, geospatial database and data infrastructures, geospatial data modeling, GIS for sustainable development, ... Read more

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