1641 papers
This research proposes a hybrid framework that combines FDTD-simulated synthetic microwave data with a Quantum-Powered Fusion Classifier Ensemble (QPFC-E) to significantly enhance the accuracy and recall of non-invasive tumor localization compared to traditional machine learning methods.
This study utilizes microseismic H/V spectral ratio analysis to assess deformation-related elastic parameters in rockfill and reinforced-concrete dams in Uzbekistan, demonstrating that these non-invasive methods effectively identify stress-deformation zones influenced by structural type, hydrostatic loading, and material heterogeneity for improved monitoring in seismically active regions.
This paper proposes a distributionally robust framework for joint reserve dispatch and data acquisition that derives a closed-form optimal allocation law, demonstrating that the marginal value of forecast data is a network-dependent quantity determined by how zonal uncertainty propagates through the grid via power-transfer distribution factors.
This study addresses the high scrap rate of thin-walled quartz crucibles caused by surface defects during machining by developing and optimizing a Chemical Mechanical Grinding process that utilizes specific parameters and a synergistic chemical-mechanical mechanism to achieve ultra-smooth surface repair, reducing roughness to 29.204 nm.
This paper proposes a conceptual AI-assisted Linear Electromagnetic Inertia System (LEIS) that leverages stored electromagnetic and kinetic energy to provide rapid, dynamic power continuity for industrial microgrids during network disturbances, offering a superior alternative to conventional battery or diesel backup systems.
This study demonstrates that a low-cost, near-real-time pipeline combining 3D intraoperative ultrasound, optical navigation, and B-spline deformation field prediction can accurately generate virtual MRI images to compensate for brain shift during glioma surgery, achieving clinically acceptable registration errors in both in vitro and ex vivo models.
This paper develops a transverse nonlinear vibration model for a vertical cantilever that accounts for self-weight and demonstrates that a nonlinear energy sink significantly reduces forced vibrations, with numerical results showing that self-weight has a limited effect on the system's natural frequencies and mode shapes.
This paper proposes and validates a theoretical forward-design strategy combining stiffness reinforcement, length reduction, and elastic mounting to mitigate excessive low-frequency vibrations in nuclear power plant feedwater flow meter brackets, successfully shifting natural frequencies and reducing vibration acceleration by 18.4 to 26.4 dB.
This paper proposes a new 3-D Log-Gabor Feature Similarity Index that extends the FSIM metric to simultaneously evaluate the spatial and spectral quality of pansharpened images by incorporating human visual system principles and inter-band relationships, demonstrating superior performance over existing methods.
This paper establishes an elastic foundation beam model to reveal the mechanical mechanisms of roof instability in gob-side entry retaining, proposing a "strong rib for roof control" strategy that utilizes asymmetric support stiffness to regulate internal forces and prevent catastrophic failure modes.