CNN Image Classification A convolutional neural network (CNN) built with Keras/TensorFlow for multi-class image classification. Includes a trained model saved in .keras format for inference without ...

Abstract: Accurately classifying colorectal polyps, or differentiating malignant from benign ones, has a significant clinical impact on early detection and identifying optimal treatment of colorectal ...

Abstract: Remote sensing (RS) scene classification is challenging due to changes in the scale and direction of scenes within a category. Bilinear pooling method can extract higher-order and spatial ...

This project implements and compares Vision Transformer (ViT), ResNet-18 (Transfer Learning), and a CNN-MLP Hybrid model for image classification on CIFAR-10. It includes a Flask-based web app where ...

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Your browser does not support the audio element. Facial recognition is a biometric solution that measures unique characteristics about one’s face. Applications ...

Conclusion: The optimized ResNet-18 achieved accurate and stable MH staging using OCT images under a standardized training framework. Compared with deeper CNN and Transformer-based architectures, the ...

Patent-holder’s Work Focuses On Detecting Precancerous Changes, Not Established Disease ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Will the failed assassination attempt help Donald Trump win the election? Many now see him at an even greater advantage.