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Frontiers4d
Vision transformers for automated detection of diabetic peripheral neuropathy in corneal confocal microscopy images
1 AI Innovation Lab, Weill Cornell Medicine-Qatar, Doha, Qatar 2 Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar Early detection ... DPN patients using CCM images, comparing its ...
cjr.org29d
Do AI Detection Tools Work?
He opened up Midjourney, a generative AI platform that produces images from ... time deepfake detection during video conferences, to clients. Saliba left ABC and joined Farid’s operation, with an eye ...
IEEE1mon
Building Detection Using Convolutional Neural Network (CNN) U-Net Architecture on Satellite Imagery
Abstract: This research aims to detect buildings in satellite images using the U-Net architecture CNN model. The dataset is a satellite image of the Araya area, Malang City extracted through Google ...
Visual Studio Magazine10mon
Data Anomaly Detection Using LightGBM
James McCaffrey from Microsoft Research presents a complete program that uses the Python ... When using an autoencoder, the predicted items are sometimes called the reconstructed items. [Click on ...
Homeland Security Today1y
Smiths Detection Advances Open Architecture Initiative with Neural Guard
Smiths Detection will collaborate with Neural Guard, a provider of artificial intelligence based automatic detection algorithms, to integrate its threat recognition software with Smiths Detection’s HI ...
Frontiers4y
Efficient Detection of Longitudinal Bacteria Fission Using Transfer Learning in Deep Neural Networks
A very common way to classify bacteria is through microscopic images ... in computer vision tasks. We use PyTorch version 1.5 for CUDA version 10.2 to run on a graphic processing unit (GPU). The ...