Frontiers

A deep Siamese network framework for precision phage selection in pulmonary infections

1 Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, China 2 School of Computer Science and Technology, Hainan University, Haikou, China Pulmonary ...
GitHub

SaeedRahmani/DCRNN_PyTorch_Saeed

Here is an article about Using HDF5 with Python. Run the following commands to generate train/test/val dataset at data/{METR-LA,PEMS-BAY}/{train,val,test}.npz. As the ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
Medical Xpress

AI model predicts neural network degeneration patterns in ALS progression

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...
IEEE

Parametric Fault Diagnosis Using Transfer Cerebellar Model Neural Network for Power Electronic Converter

Abstract: The intelligent fault diagnosis methods have become increasingly popular in the field of power electronic converters fault diagnosis. However, in industrial applications, only a small amount ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
Hosted on MSN

Network in Network (NiN) Deep Neural Network Explained with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
IEEE

Transfer Learning-Based COVID-19 Detection Using Chest X-Ray Images with a Pretrained Neural Network and Custom Classifier

Abstract: The unfolding global trajectory of COVID-19 has made it abundantly clear that scalable, accurate diagnostic solutions, especially in resource-limited healthcare settings, are urgently ...