IEEE

Multi-Class Brain Tumor Image Classification Utilizing ResNet50: A Transfer Learning Approach for Medical Imaging

Abstract: There is a lot of hope that medical diagnostics could be improved by using deep learning intended for brain tumor categorization. In order to categorize brain malignancies, there are 4 ...
Sports Illustrated

What to Know for the Florida Gators as the NCAA Transfer Portal Opens

GAINESVILLE, Fla.-- The NCAA Transfer Portal window opened on Friday, marking the first day schools and transfers can openly communicate with each other. For the Florida Gators and new head coach Jon ...
Frontiers

A privacy-preserving, on-board satellite image classification technique incorporating homomorphic encryption and transfer learning

Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and ...
C&EN

CFTR_TL: Transfer Learning-Enhanced Prediction of CFTR ATP Binding Sites with Multi-Window Convolutional Neural Networks

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) protein, crucial for ...
IEEE

Multi-Branch Deep Learning Architecture for Satellite Image Classification Using ViTNet-FCN With Transfer Learning

Satellite image classification plays a vital role in land cover mapping, resource management, and environmental monitoring. While recent advances in deep learning have improved performance, single ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
GEN

Deep Learning Integrates Multi-Omics for Precision Oncology Decision Making

Nearly 50 new cancer therapies are approved every year. While this positive trend is a huge benefit for patients, Altuna Akalin, PhD, head of the bioinformatics and omics data science technology ...
Frontiers

Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.
SlashGear

How To Tell If A USB Cable Can Transfer Data

We may receive a commission on purchases made from links. The slow but steady advancements in USB generations are a testament to the growing power and data requirements of the various peripherals and ...
GitHub

Time-Series Image Classifier

A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...