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mdpi.com
mdpi.com > 2076-16/18/3417 > 9094

Applied Sciences, Vol. 16, Pages 9094: 3D Geological Modeling Using Geostatistical, Deterministic, and Artificial Intelligence Algorithms: A Comparative Analysis for Delineating Mineralized Zones

3+ hour, 25+ min ago   (347+ words) The delineation of mineralized zones within deposits is inherently associated with geological uncertainty, directly impacting resource-reserve estimation and eventual extraction. This study presents a comparative analysis of three geological modeling techniques, including Indicator Kriging (IK), Nearest Neighbor (NN), and Multilayer…...

mdpi.com
mdpi.com > 2076-16/18/3417 > 9052

Applied Sciences, Vol. 16, Pages 9052: Panel Interaction and Incremental Subsidence in Multi-Panel Longwall Mining: Mechanisms and Mitigation of Ground Instability

1+ day, 10+ hour ago   (516+ words) Incremental subsidence induced by sequential longwall panel extraction is associated with panel interaction and progressive instability of the disturbed rock mass. However, the governing mechanisms and the coupled effects of panel and pillar geometries remain insufficiently understood, limiting effective assessment…...

mdpi.com
mdpi.com > 2076-16/18/3417 > 8973

Applied Sciences, Vol. 16, Pages 8973: Experimental Study on Macroscopic and Microscopic Tensile Strength Characteristics of Steel-Fiber-Reinforced Rubber Concrete

3+ day, 11+ hour ago   (248+ words) This study examined the reported splitting-tensile response of 17 concrete mixtures labeled by nominal rubber replacement levels of 5–20% and steel fibers at 0–1.5% by volume after 7 and 28 days of curing. The reported strength values were considered together with failure photographs, representative load-displacement…...

mdpi.com
mdpi.com > 2076-16/18/3417 > 8944

Applied Sciences, Vol. 16, Pages 8944: MineSSM: Frequency-Decoupled State-Space Modeling for Real-Time Low-Light Enhancement in Dusty Underground Mines

4+ day, 9+ hour ago   (527+ words) Safety monitoring and visual surveillance in underground coal mines must cope with extreme low light and pervasive coal dust, yet the most accurate low-light image enhancement models rely on self-attention, whose quadratic cost precludes real-time use on the edge-computing platforms…...

mdpi.com
mdpi.com > 2076-16/18/3417 > 8920

Applied Sciences, Vol. 16, Pages 8920: Machine Learning Based on Hybrid Optimization Algorithm for the Prediction and Risk Assessment of Rock Tunnel Lining Displacement

5+ day, 4+ hour ago   (433+ words) Accurate prediction of tunnel vault displacement and reliable assessment of deformation risk are essential for tunnel safety management under complex geological conditions. This study develops an integrated data-driven framework combining machine-learning prediction, metaheuristic hyperparameter optimization, statistical model comparison, and uncertainty-informed…...

mdpi.com
mdpi.com > 2076-16/18/3417 > 8914

Applied Sciences, Vol. 16, Pages 8914: Can Plants Grow on the Moon and Mars? Enhancing Seed Germination with Electrodeposited Magnesium Oxide-Coated Halloysite Nanotubes Optimized Using Response Surface Methodology for Lunar and Martian Regolith

5+ day, 7+ hour ago   (504+ words) Though many food systems on Earth offer benefits to space travelers, their ability to meet the demands of spaceflight remains unestablished. This study examines the application of magnesium oxide-coated halloysite nanotubes (MgO-HNTs), synthesized via electrodeposition, to enhance seed germination and…...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8845

Applied Sciences, Vol. 16, Pages 8845: Characterization of Geothermal Reservoir Structures Based on a Deep Generative Neural Network with Local Edge Pattern Learning

1+ week, 1+ day ago   (420+ words) Accurate three-dimensional (3D) characterization of geothermal reservoirs is crucial for resource assessment and development, yet it remains a significant challenge due to sparse direct observations and the complex, heterogeneous nature of subsurface geology. While deep learning has emerged as a powerful…...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8812

Applied Sciences, Vol. 16, Pages 8812: Optimised Machine Learning for MASW-Based Zonation of Weak Alluvial Soils Using Anchor-Based SPT/SCPT Calibration

1+ week, 2+ day ago   (433+ words) Weak alluvial soils are difficult to delineate where penetration-test data are sparse and stiffness varies rapidly with depth. This study presents a novel goal-attainment-optimised machine learning framework that combines multichannel analysis of surface waves (MASW) with anchor-based standard penetration test…...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8773

Applied Sciences, Vol. 16, Pages 8773: Mechanism-Based Insights and Ablation Study of Multi-Constraint Strategies for Physics-Informed Neural Networks in Shock-Dominated Dam-Break Flows

1+ week, 3+ day ago   (558+ words) Physics-informed neural networks (PINNs) provide mesh-free approximation and rapid inference for dam-break flood simulations. However, the effectiveness and underlying mechanisms of different enhancement strategies for engineering-representative shock-dominated flows remain insufficiently understood. To address this issue, this study established a controlled…...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8758

Applied Sciences, Vol. 16, Pages 8758: Controlled Performance Decomposition of Seismic–Log Representations for Reservoir Sweet Spot Screening

1+ week, 3+ day ago   (379+ words) Reservoir sweet spot screening combines seismic and well-log observations, but an observed gain may depend on the input representation, validation protocol, and construction of the screening target. We implement a controlled performance-decomposition protocol for paired observations from the public F3 Block....