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Applied Sciences, Vol. 16, Pages 8944: MineSSM: Frequency-Decoupled State-Space Modeling for Real-Time Low-Light Enhancement in Dusty Underground Mines
5+ day, 1+ 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…...
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, 2+ 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…...
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…...
Applied Sciences, Vol. 16, Pages 8652: Basin-Wide Monitoring and PIM Parameter Inversion of Mining Subsidence Using UAV-LiDAR
2+ week, 1+ hour ago (473+ words) Accurate, comprehensive, and spatially continuous monitoring of mining-induced surface subsidence is essential for geohazard prevention, ecological restoration, and safe mining. Conventional approaches, however, are limited by the sparse spatial distribution of GNSS observations, the difficulty of InSAR in resolving large…...
Applied Sciences, Vol. 16, Pages 8422: Elastic Impedance Matrix-Based Reflectivity Approximation for Vertically Fractured Shales
2+ week, 6+ day ago (501+ words) Shale is typically studied as a transversely isotropic medium with a vertical axis of symmetry (VTI). This model can be extended to vertical fractures in transversely isotropic (VFTI) media when the shale background contains a set of vertical fractures. The…...
Applied Sciences, Vol. 16, Pages 8360: Optimizing Machine Learning Models for Predicting Rock Cohesion and Angle of Internal Friction: A Comparative Study of Lithological Analysis, Robustness Assessment, and SHAP Explanations
3+ week, 2+ day ago (501+ words) Rock cohesion (c) and angle of internal friction (φ) are core parameters for rock mass stability analysis and engineering design; however, traditional triaxial tests are costly and time-consuming, limiting their availability in preliminary engineering assessments. To address this limitation, this study…...