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Intelligence Systems for Earth, Environmental and Planetary Sciences: Methods, Models and Applications

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Land and Water Resources Management Using Machine Learning and Geospatial Techniques (Developments in Environmental Science)

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Elsevier Deep Learning for Earth Observation and Climate Monitoring

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Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications

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Machine Learning for Transportation Research and Applications

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Elsevier Data-Driven Earth Observation for Disaster Management

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Applied Machine Learning in Chemical Process Engineering: A Practical Approach

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Supervised Learning in Remote Sensing and Geospatial Science

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Machine Learning for Small Bodies in the Solar System

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Elsevier Earth Observation for Monitoring and Modeling Land Use

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Elsevier Computational Methods for Time-Series Analyses

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Machine Learning and AI for Advanced Experimental Mechanics and Materials Design

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Green Machine Learning and Big Data for Smart Grids: Practices and Applications (Advances in Intelligent Energy Systems)

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Elsevier Quantitative Geomorphology in the AI Era Book

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Applications of Deep Machine Learning in Future Energy Systems

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Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

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Multimodal Remote Sensing Fusion and Classification: Algorithms and Applications (Earth Observation)

Machine Learning and Artificial Intelligence in Chemical and Biological Sensing

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GNSS Monitoring of the Terrestrial Environment: Earthquakes, Volcanoes and Climate Change

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Landslide Science: Geospatial Advances in Monitoring, Modeling, and Management

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Emerging AI Applications in Earth Sciences: Challenges, Impact and Analysis (Sustainable Artificial Intelligence-Powered Applications)

Elsevier Machine and Deep Learning for Subsurface Geology

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Elsevier Data-Driven Machine Learning in Thermochemical Processes

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Utilizing Earth Observation Data in Reaching Sustainable Development Goals

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