Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Abstract: Optical tomographic imaging requires an accurate forward model as well as regularization to mitigate missing-data artifacts and to suppress noise. Nonlinear forward models can provide more ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Optimal Space-Variant Anisotropic Tikhonov Regularization for Full Waveform Inversion of Sparse Data
Abstract: Full waveform inversion (FWI) is a challenging, ill-posed nonlinear inverse problem that requires robust regularization techniques to stabilize the solution and yield geologically meaningful ...
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