Multiple hierarchical compression for deep neural network toward intelligent bearing fault diagnosis
J Sun, Z Liu, J Wen, R Fu - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Deep Neural Network (DNN) models have been extensively developed for
intelligent bearing fault diagnosis. The superior performance of DNN-based fault diagnosis …
intelligent bearing fault diagnosis. The superior performance of DNN-based fault diagnosis …
On the opportunities of green computing: A survey
Simplifying YOLOv5 for deployment in a real crop monitoring setting
Deep learning-based object detection models have become a preferred choice for crop
detection tasks in crop monitoring activities due to their high accuracy and generalization …
detection tasks in crop monitoring activities due to their high accuracy and generalization …
Enhancement of deep neural network recognition on MPSoC with single event upset
W Yang, W Song, Y Guo, Y Li, C He, L Wu, B Wang… - Micromachines, 2023 - mdpi.com
This paper introduces a new finding regarding single event upsets (SEUs) in configuration
memory, and their potential impact on enhancing the performance of deep neural networks …
memory, and their potential impact on enhancing the performance of deep neural networks …
Low rank optimization for efficient deep learning: Making a balance between compact architecture and fast training
Deep neural networks (DNNs) have achieved great success in many data processing
applications. However, high computational complexity and storage cost make deep learning …
applications. However, high computational complexity and storage cost make deep learning …
Optimization Based Layer-Wise Pruning Threshold Method for Accelerating Convolutional Neural Networks
Y Ding, DR Chen - Mathematics, 2023 - mdpi.com
Among various network compression methods, network pruning has developed rapidly due
to its superior compression performance. However, the trivial pruning threshold limits the …
to its superior compression performance. However, the trivial pruning threshold limits the …
Multi-contrast learning-guided lightweight few-shot learning scheme for predicting breast cancer molecular subtypes
X Pan, P Wang, S Jia, Y Wang, Y Liu, Y Zhang… - Medical & Biological …, 2024 - Springer
Invasive gene expression profiling studies have exposed prognostically significant breast
cancer subtypes: normal-like, luminal, HER-2 enriched, and basal-like, which is defined in …
cancer subtypes: normal-like, luminal, HER-2 enriched, and basal-like, which is defined in …