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IEEE2mon
Deep Learning Model for Predicting Basket-Ball Player Injuries Using VGG16 - IEEE Xplore
This growing need for player safety in sports has spurred the creation of newer models for predictive analysis. The project involves predicting the injury risk of basketball players using foot images ...
IEEE2y
Architecture-based Evaluation of VGG16 and ResNet Models for an Online Deep Learning Environment for Medical Applications | IEEE Conference Publication | IEEE Xplore
Image classification using deep learning models has evolved impressively well in the past decade. Datasets containing millions of images grouped into thousands of classes have been used to train and ...
GitHub9mon
combo667/FSK-Modulation-Classifier: Developed a deep learning-based project to classify FSK signals from NON-FSK signals - GitHub
For signal classification, I employed the VGG16 deep learning architecture, known for its effectiveness in image recognition tasks. The model is trained to accurately identify distinguishing features ...
GitHub4mon
GitHub - parvanehyaghoubi/Brain-Tumor-Classification-VGG16: Brain Tumor Detection using MRI scans is a critical application of deep learning in medical imaging. The VGG16 model ...
The dataset used consists of MRI images categorized into different classes: Glioma Tumor, Meningioma Tumor, No Tumor, Pituitary Tumor Glioma Tumor: A glioma is a type of tumor that starts in the glial ...