IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
GitHub

[FEAT]: Part 2.2: Build baseline MNIST CNN

Build, train, and evaluate a Convolutional Neural Network (CNN) for classifying the MNIST handwritten digits dataset using either TensorFlow or PyTorch. The primary goal is to create a model that ...
Variety

‘Pete Hegseth Has United the Media!’ Only One Outlet Has Agreed to Pentagon’s New Press Rules as Fox News, CNN and More Refuse to Comply

Pete Hegseth‘s Defense Department has threatened to revoke press credentials of news organization that do not agree to restrictive new coverage rules — and says it may bar journalists who don’t agree ...
IEEE

Deployment of TensorFlow Lite for Real-Time Image Classification on Raspberry Pi: Performance Evaluation with CIFAR-10 and MNIST, and Implications for Power Generation

Abstract: The present paper investigates the application of TensorFlow Lite to deploy the Convolutional Neural Network on Rasberry Pi for real-time image classification, considering specifically the ...