AIMS Geosciences Open Access
Home AIMS Geosciences All Issues Volume 10 Issue 4
Volume 10 Issue 4, December 2024
PP. 662-964
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11 articles
Research Article | Open Access
Artificial intelligence and 3D subsurface interpretation for bright spot and channel detections
Published: 15 December 2024
2024, 10(4): 662-683
Review | Open Access
AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
Published: 15 December 2024
2024, 10(4): 684-734
Research Article | Open Access
Geotechnical investigations of lead-silver ore processing residues at the Auzelles site, Auvergne (France)
Published: 15 December 2024
2024, 10(4): 735-758
Editorial | Open Access
Perception, representation and narration of environmental and urban risk: Floods, earthquakes, desertification, pollution, health, gentrification
Published: 15 December 2024
2024, 10(4): 759-766
Research Article | Open Access
Forest planning, rural practices, and woodland cover in an 18th-century Alpine Valley (Val di Fiemme, Italy): A geohistorical and GIS-based approach to the history of environmental resources
Published: 15 December 2024
2024, 10(4): 767-791
Review | Open Access
State of the practice on energy-based liquefaction evaluation and research significance
Published: 15 December 2024
2024, 10(4): 792-863
Review | Open Access
A «necklace» of large clusters of strategic raw materials over a stagnant oceanic slab in East Asia
Published: 15 December 2024
2024, 10(4): 864-881
Research Article | Open Access
Disentangling rural smartness in European policies: a critical overview of the Smart Village concept
Published: 15 December 2024
2024, 10(4): 882-906
Research Article | Open Access
Some features of geological structure of the Shikotan Island (Lesser Kuril Arc)—A view from "Space"
Published: 15 December 2024
2024, 10(4): 907-917
Research Article | Open Access
Cities as innovation poles in the digital transition. The Italian case
Published: 15 December 2024
2024, 10(4): 918-938
Research Article | Open Access
Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors
Published: 15 December 2024
2024, 10(4): 939-964