IEEE

CSAInvNet: A Multinetwork Collaborative Deep Learning Framework for GPR-Based Joint 3-D Inversion Imaging of Coal Seam Anomalies

Abstract: Three-dimensional electromagnetic inversion and representation of coal seam anomalies based on ground-penetrating radar (GPR) data is a highly promising approach for real-time coal seam ...
IEEE

ADDomics: Enhancing Multiomics Fusion with Autoencoders and Deep Neural Networks

Abstract: Advancing precision medicine and understanding biological systems and enhancing disease categorization have benefited greatly from multi-omics integration. Nevertheless, current strategies ...
C&EN

Explainable Deep Learning Framework for SERS Bioquantification

Melville Laboratory for Polymer Synthesis, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, U.K. Melville Laboratory for Polymer Synthesis, Yusuf Hamied ...
GitHub

Self-Learning-VAE-for-EEG-Artifact-Removal

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...
C&EN

Federated Denoising Transformer-Recurrent Regressor for Remaining Useful Life Prediction of Lithium-Ion Batteries

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
GitHub

Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection (AnoDDAE)

This repository provides reproducible implementation of the anomaly detection method based on a denoising autoencoder architecture with diffusion noise scheduling mechanism inspired by diffusion ...
Microsoft

Copilot Deep Research Reports: AI-powered insights in minutes

When you’re working on a challenging academic project or a business proposal that necessitates in-depth insights fast, Copilot has your back. The new Copilot Deep Research feature acts as your ...