Cochrane

Introduction to a new risk of bias tool for network meta-analysis

Systematic reviews with network meta-analysis (NMA) have potential biases in their conduct, analysis, and interpretation. If the results or conclusions of an NMA are integrated into policy or practice ...
IEEE

The Evolution of Convolutional Neural Network Architectures: A Review

Abstract: Convolutional Neural Networks (CNNs) are one of the most important and successful algorithmic architectures in deep learning, especially effectively in processing data with a grid-like ...
Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
IEEE

A Compact Convolutional Neural Network with Pyramid Squeeze Attention for RSVP-EEG Classification

Abstract: Facing the severe challenges of ecological protection and biodiversity conservation, traditional ecological monitoring methods have gradually revealed their limitations. Rapid Serial Visual ...
Frontiers

Application of deep learning based on convolutional neural network model in multimodal ultrasound diagnosis of unexplained cervical lymph node enlargement

This study retrospectively analyzed the multimodal ultrasound features and clinical characteristics of 586 patients with unexplained cervical lymphadenopathy who were treated at three hospitals ...
Frontiers

An efficient method for early Alzheimer’s disease detection based on MRI images using deep convolutional neural networks

Alzheimer’s disease (AD) is a progressive, incurable neurological disorder that leads to a gradual decline in cognitive abilities. Early detection is vital for alleviating symptoms and improving ...
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, ...