Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...

Abstract: Background: Hyperspectral Image (HSI) classification involves analyzing images captured across numerous spectral bands to identify and categorize materials or objects. By exploiting spectral ...

For nearly a month, the Justice Department failed to take down more than a dozen images in the Epstein files that should have been redacted, including pictures of a young girl kissing Jeffrey Epstein ...

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment. Conventional computer-aided ...

Joe Rogan got his eyebrows all the way up on Wednesday when discussing an image of Minneapolis ICE shooting victim Alex Pretti that was mistakenly featured on an MS NOW segment which had clearly been ...

90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...