GitHub

Handwritten Digit Recognizer using CNN

A Deep Learning project that recognizes handwritten digits using a Convolutional Neural Network (CNN) trained on the MNIST dataset with TensorFlow/Keras. This project implements a Convolutional Neural ...
GitHub

Malware Classification Using Convolutional Neural Networks

This repository presents an image-based malware classification system developed. The proposed approach transforms malware binaries into grayscale images and applies Convolutional Neural Networks (CNNs ...
IEEE

Multi Fruit Classification and Grading Using Transfer Learning

Abstract: A unified AI-based approach in classification and grading for multiple fruits could effectively result in getting the quality of apples, bananas, and oranges, with a classification accuracy ...

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
CNET

Your Brain Is a Better AI Detector Than Any Tool Out There. Here's How to Use It

AI detection tools promised a clean solution to the internet's growing slop problem. What they've delivered is a coin flip. Academic studies and independent tests have repeatedly shown that the most ...
Tech Xplore

Reliably detecting and clearly explaining deepfake images

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Frontiers

Deep Domain Adaptation Applied to Remote Sensing Data Analysis

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
IEEE

Gui-bin Bian

Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...