IEEE

Unit-Centric Regularization for Efficient Deep Neural Networks

Abstract: Deep neural networks excel by learning hierarchical representations, often requiring architectural enhancements like increased width, normalization layers, or skip connections, each adding ...
IEEE

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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Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...
Frontiers

A lightweight cerebrospinal fluid biomarker-based model for first-diagnosis prediction of Parkinson’s disease: model development, external validation, and local deployment

Background: Despite substantial progress in biomarker research, Parkinson’s disease (PD) still lacks widely validated, easily deployable diagnostic tests for reliable early-stage detection, ...