GitHub

ResNet-50 Image Classification

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...
IEEE

Image-Driven Inductance Gradient Prediction for Convex Electromagnetic Launcher Rails Using Convolutional Neural Network

Abstract: Accurate acquisition of the rail inductance gradient is critical to the design of electromagnetic launch systems. To address the inefficiency of finite element analysis (FEA) and limitations ...
Frontiers

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...
Frontiers

OculusNet: Detection of retinal diseases using a tailored web-deployed neural network and saliency maps for explainable AI

Retinal diseases are among the leading causes of blindness worldwide, requiring early detection for effective treatment. Manual interpretation of ophthalmic imaging, such as optical coherence ...
IEEE

Learning laws for deep convolutional neural networks with guaranteed convergence

Abstract: Convolutional Neural Networks (CNNs) have shown remarkable success across numerous tasks such as image classification, yet the theoretical understanding of their convergence remains ...
Scientific Research Publishing

Prawin, J. (2024) Deep Learning Neural Networks with Input Processing for Vibration-Based Bearing Fault Diagnosis under Imbalanced Data Conditions. Structural Health Monitoring ...

ABSTRACT: In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving ...
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, ...
chromatographyonline

Predicting Concentration Profiles in Gradient LC Using Neural Networks

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid chromatography. Rzeszow University of Technology researchers based in ...