Model-independent searches of new physics in DARWIN with deep learning. [PDF]
Eur Phys J C Part FieldsXLZD Collaboration.
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The Propensity Field and the Anomalies of Physics
This version (v2) extends the theory with experimental correlations and interdisciplinary predictions, paving the way for practical validation.
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Early-warning industrial fault detection based on physics-guided residual learning and calibrated CRNNs. [PDF]
Sci RepKhan A +8 more
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A comprehensive design framework for all-dielectric metasurfaces by harnessing the interplay of controlled multiple multipole excitation, Rayleigh anomaly, Mie and lattice resonances. [PDF]
Nanoscale AdvBasha TK, Inam FA, Laskar JM.
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Anomalous Paramagnetic Meissner-like AC Response in EuRbFe<sub>4</sub>As<sub>4</sub> Superconductor. [PDF]
Materials (Basel)Crisan A +6 more
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Comparison of Anomaly Detection Methods on Event-Based Vision Sensor Data in a High Noise Environment. [PDF]
Sensors (Basel)Johnston W +6 more
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BRICK-Automated Virtual Temperature Sensors for Sensor Fault Detection, Isolation, and Discrimination in Smart-Building HVAC Systems. [PDF]
Sensors (Basel)Chahine K, Noura HN.
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Probing the Hall anomaly and electronic structure in kagome metal RbV<sub>3</sub>Sb<sub>5</sub> under hydrostatic pressure. [PDF]
Sci Technol Adv MaterPoon TF +10 more
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Microstructure and Superconductivity of Mechanically Alloyed Nb<sub>0.67</sub>(TiZrHf)<sub>0.33</sub> High-Entropy Alloy. [PDF]
Materials (Basel)Sobota P, Bartz W.
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From Pixel Understanding to Semantic Insight: Intelligent Detection in Sensor-Driven Perception Systems. [PDF]
Sensors (Basel)Xie Q, Wu T, Yang F.
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