Devdiscourse

Fast and Accurate Water Leak Detection in Distribution Networks Using Deep Anomaly Models

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
eLife

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
AZoSensors on MSN

AI Maps Heat Inside Steelmaking’s Critical Sintering Process Beds

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
IEEE

Wavelet-Enhanced Temporal Convolutional Autoencoder with Self-Attention for Unsupervised Anomaly Detection in High-Performance Computing Systems

Abstract: We propose a novel unsupervised anomaly detection framework for high-performance computing (HPC) systems, integrating wavelet-based frequency augmentation with a self-attentive temporal ...
GitHub

Douraid-BEN-HASSEN/pill_defect_detection

An advanced anomaly detection system for pharmaceutical quality control using deep learning. This project leverages a Convolutional Autoencoder with hybrid perceptual loss to identify defective pills ...
GitHub

This project contains a TensorFlow-based Denoising Autoencoder (DAE) to exact model galaxy from observed galaxy images and perform galaxy model subtraction.

Clone this repository to your local machine or cloud service using the following command: To provide a comprehensive overview of the dataset generation process used in your project, it's important to ...