Results 91 to 100 of about 350,300 (294)

Development of a geological model useful for the study of the natural hazards in urban environments. An example from the eastern sector of Rome (Italy) [PDF]

open access: yes, 2015
Detailed knowledge of the subsoil setting is an extremely important issue for a correct risk reduction policy, especially when dealing with urban areas hosting cultural heritage, which enhance risk conditions even at low geo-hazard levels, as in the case
Esposito, Carlo   +2 more
core   +1 more source

Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data

open access: yesAdvanced Intelligent Systems, EarlyView.
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu   +6 more
wiley   +1 more source

Karst, GIS and geological hazard planning and management in Great Britain [PDF]

open access: yes, 2010
The British Geological Survey (BGS) database of karst features for the United Kingdom include dolines, cave entrances, stream sinks, resurgences and building damage; data for approximately half of the country has so far been gathered.
Cooper, A.H., Farrant, A.R., Price, S.J.
core  

Integrated analysis of geofiltrational parameters in the context of underground coal gasification relying upon calculations and modeling [PDF]

open access: yes, 2018
Objective of the paper is to substantiate and implement the integrated approach aimed at the studies of filtration and mass-transfer processes within roof rocks of coal seams in the context of their underground ...
Dereviahina, Nataliia   +7 more
core   +1 more source

A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images

open access: yesAdvanced Intelligent Systems, EarlyView.
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai   +4 more
wiley   +1 more source

The geology of strata exposed in Roade railway cutting, Northamptonshire : engineering phase Priority 3 sections and overall assessment [PDF]

open access: yes, 2010
This report describes the geology of the bedrock strata at the Roade railway cutting (a Site of Special Scientific Interest), near Northampton, exposed by engineering works between 2006 and 2010 and made available to the BGS for detailed examination ...
Barron, A.J.M., Woods, M.A.
core  

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu   +6 more
wiley   +1 more source

A tribute to Professor William Dearman : new small-scale engineering geological maps of the United Kingdom [PDF]

open access: yes, 2010
Professor William Robert (“Bill”) Dearman was the first British Professor of Engineering Geology and a world leader in the development of engineering geological mapping techniques and methodologies, recognised by being awarded the IAEG’s Hans Cloos Medal.
Culshaw, M.G.   +4 more
core  

Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui   +9 more
wiley   +1 more source

Editorial: Hydro-Mechanical Coupling and Creep Behaviors of Geomaterials

open access: yesFrontiers in Earth Science, 2021
Yanlin Zhao   +3 more
doaj   +1 more source

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