Browsing: CNN

This article discusses the use of automated transmitted light microscopy and AI-based image classification for high-throughput virus infection readout. A workflow was established using…

This article discusses the use of Convolutional Neural Networks (CNNs) in predicting aphasia severity following stroke. The results show that CNNs achieve higher predictive…

In this article, Hemachandran et al. implemented three deep learning algorithms to detect malaria cases. They compared the performance of CNN, MobileNetV2, and ResNet50…

This article discusses the use of NLP and ML technologies in creating an intelligent chatbot that can assist clients and provide sentiment analysis. It…

This article discusses the use of deep learning methods, such as CNNs and transformers, in solving the image-retrieval problem in visual place recognition (VPR).…

This article discusses a new training approach called separating training, which is used to enhance the performance of a novel model for sleep stage…

This article discusses a hybrid deep-learning approach to malware detection using a diverse set of datasets and various techniques such as Single Hot Encode,…

This article discusses the issue of low-rate distributed denial of service attacks in cloud computing networks and proposes a novel multi-scale CNN and bi-LSTM…

This article discusses the use of hybrid deep learning techniques and optimization algorithms for accurate flight delay prediction. The proposed method combines CNN, LSTM,…

This article discusses the use of deep learning models in medical image segmentation, specifically focusing on the ATLAS dataset and comparing transformer and CNN…