IEEE

An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing

Abstract: Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, ...
Engadget

FCC accidentally leaked iPhone schematics, potentially giving rivals a peek at company secrets

The Federal Communications Commission (FCC) recently published a 163-page PDF showing the electrical schematics for the iPhone 16e, despite Apple specifically requesting them to be confidential. This ...
PCGamesN

This new AMD Radeon gaming GPU leak looks amazing, could beat the RTX 6080

A fresh new stack of leaks has just dropped about the next generation of AMD Radeon GPUs, and they point to an extremely powerful graphics card at the top end that's at least 50% more powerful than ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
C&EN

DCGCN: Dual-Channel Graph Convolutional Network-Based Drug–Target Interaction Prediction Method with 3D Molecular Structure

College of Artificial Intelligence, Tianjin Normal University, Tianjin 300387, China Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin ...
GitHub

Uncertainty Quantification for Deep Learning in Sleep Apnea Detection

This repository contains the Python code for the Master's Thesis: "Uncertainty Quantification for Deep Learning in Sleep Apnea Detection: A Comparative Evaluation of Monte Carlo Dropout and Deep ...
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...
C&EN

Interpretable Multiscale Convolutional Neural Network for Classification and Feature Visualization of Weak Raman Spectra of Biomolecules at Cell Membranes

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Raman spectroscopy in biological applications faces challenges due to complex spectra, ...
IEEE

1D Convolutional Autoencoder-Based PPG and GSR Signals for Real-Time Emotion Classification

Abstract: To apply emotion recognition and classification technology to the field of human-robot interaction, it is necessary to implement fast data processing and model weight reduction. This paper ...