Scientists who recently piloted a submersible to a remote spot in the southeastern Indian Ocean have identified one of the largest and deepest whale graveyards containing hundreds of fossils, ...
Accurate identification of melanoma is key to improving prognosis, while traditional dermatoscopic recognition suffers from subjectivity and poor consistency. This study aimed to develop a deep ...
An ungainly barrel of a shark cruising languidly over a barren seabed far too deep for the sun’s rays to illuminate was an unexpected sight. Many experts had thought sharks didn’t exist in the frigid ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
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 ...
Abstract: This research explores a deep learning-based approach to sports image classification using four convolutional neural network (CNN) models: VGG-16, VGG-19, Xception, and EfficientNetB7. The ...