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Prediction of destroyed coal floor depth based on improved vulnerability index method
At present, research on the failure laws and depths of coal seam floors mainly concentrates on the working surface level, and there are few studies...
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Temporal variation in the depth of the magma surface at Aso volcano in 2014–2015
Monitoring the depth of the magma surface at open-vent volcanoes can be a practical tool to infer temporal variations in the magma supply during an...
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Investigation of the Interpretation Technique and Seismic Attribute Application of Seismic Data in the Depth Domain
When compared to time domain seismic data, depth domain migration seismic data can more accurately and intuitively describe changes in the properties...
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Arbitrary-oriented ship detection based on Kullback-Leibler divergence regression in remote sensing images
Ship detection is a meaningful and challenging task in processing of remote sensing image data. Specifically, the main challenges faced by ship...
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Unraveling the Complex Relationships Between Aerosol Optical Depth and Temperature: A Review
The relationship between aerosol optical depth (AOD) and temperature is a complex and significant aspect of climate science, impacting atmospheric...
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Machine learning model for snow depth estimation using a multisensory ubiquitous platform
Snow depth estimation is an important parameter that guides several hydrological applications and climate change prediction. Despite advances in...
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A LiDAR-camera fusion approach for automated detection and assessment of potholes using an autonomous vehicle platform
Pothole detection and repair are critically important responsibilities for transportation agencies since potholes pose a significant safety concern...
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Quantifying the Visibility and Human Health Effects of Aerosol Optical Depth Chemical Species in Some Cities of West Africa
The high level of chemical compounds in the atmosphere of many West African cities is worrying because of the potential threats to human health and...
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A window-based multi-scale attention model for slope collapse detection
The slope collapse detection plays a cruial role in mitigating soil erosion and preserving the stability of river channels. Aiming at the problem of...
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Detection method of coal-rock interface and low-resistivity anomalous body based on azimuth electromagnetic wave
A geological model related to coal-rock electromagnetic parameters is constructed in this work using coal-rock media and coal-rock interfaces as the...
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Detection of Urban Flood Inundation from Traffic Images Using Deep Learning Methods
Urban hydrological monitoring is essential for analyzing urban hydrology and controlling storm floods. However, runoff monitoring in urban areas,...
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Applying the Tilt-depth and Tilt-Euler techniques of gravity data to decipher the basement depth in Sichuan Basin, China
The tilt angle (i.e., TDR) provides an efficient way to recognize the horizontal locations of multi-source geological bodies at different depths and...
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To Detect Aerosols Optical Depth (AOD) Local Hotspot Region: Spatiotemporal Characteristics over Indian Regions
India’s geographic and climatic characteristics make it a key region for the description of atmospheric aerosol optical properties around the globe....
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Auto-Detection Method Using Convolution Neural Network for Bottom-Simulating Reflectors
In studies on gas hydrate, bottom-simulating reflectors (BSR) are used to determine the potential hydrate-bearing sedimentary layers. Usually, BSR...
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Diamonds of the Udachnaya Pipe: Changes in Characteristics with Depth and Post-Mantle Evolution
AbstractThe systematic changes of a complex of characteristics of diamonds from the Udachnaya pipe with depth was studied: the habit of crystals,...
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Underwater object detection and datasets: a survey
The rapidly growing exploitation and utilization of marine resources by humans has sparked considerable interest in underwater object detection...
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Parametric study on contact sensors for MASW measurement-based interfacial debonding detection for SCCS
Steel-concrete composite structures (SCCS) have been widely used as primary load-bearing components in large-scale civil infrastructures. As the...
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Relation of hydraulic conductivity to depth, alteration, and rock type in the volcanic rocks of Pahute Mesa, Nevada, USA
A large data set of hydraulic conductivity ( K ) with depth was used to examine and isolate the influences of rock type, volcanic-rock alteration, and...
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Meta-heuristic algorithms: an appropriate approach in crack detection
A structural fault is a significant factor that represents a safety hazard in the proper functioning of the structure. Thus, the crack should be...
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A review on deep learning-based automated lunar crater detection
The lunar surface, which has been extensively explored and studied, offers valuable insights into its geological history and crater distribution due...
