An Approximate Bayesian Approach to Optimal Input Signal Design for System Identification. [PDF]
Bania P, Wójcik A.
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Although electrochemical scanning tunneling microscopy provides atomic‐scale access to electrified interfaces, quantitative in situ and operando investigations suffer from drift‐induced distortions. This work introduces the Lattice Fourier Analyzer (LFA), which employs substrate‐anchored affine drift correction in reciprocal space to recover precise ...
Rafał Lewandków +4 more
wiley +1 more source
AI-driven dynamic resource allocation for ISAC systems in 6G networks: intelligent beamforming, interference management, and power allocation. [PDF]
Aman M +5 more
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Topological Point Defects in SmC* Liquid Crystals Under Mechanical Disturbance
Tangetial air jet shear inducess island formation and nucleates topological point defects in uniform SmC films. Island bounded by edge dislocation loops shrink and transform into isolated point defects under continued shear. Mechanical perturbatio provides a controllable route for defect engineering in smectric liquid crystal thin films.
Gunganist Kongklad +3 more
wiley +1 more source
Enhancing deep learning interpretability for hand-crafted feature-guided histologic image classification via weak-to-strong generalization. [PDF]
Fan Z +6 more
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An Effective Non-Rigid Registration Approach for Ultrasound Images Based on the Improved Variational Model of Intensity, Local Phase Information and Descriptor Matching. [PDF]
Zhang K, Xing J, Xiao Q.
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Brain network characteristics of favorable outcomes following radiofrequency thermocoagulation for drug-resistant epilepsy in periventricular nodular heterotopia patients. [PDF]
Guo Y +9 more
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Hybrid EEG-fNIRS phoneme classification based on imagined and perceived speech. [PDF]
Hons M +3 more
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Interpretable Bayesian optimization for catalyst discovery.
Nair AS, Foppa L, Scheffler M.
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