Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...

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

CNN's Jake Tapper wrongly identifies DC pipe bomb suspect as 'White man' Fox News senior national correspondent Kevin Corke reports on the arrest of the alleged Jan. 6th pipe bomb suspect on ‘Jesse ...

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!

As the economy and society continue to develop, the range of underwater vehicles is expanding and technology is constantly being upgraded. Consequently, it is becoming increasingly difficult to ...

Deep learning neural network for image classification using TensorFlow and Keras. Includes CNN architecture, data preprocessing, and model training scripts.

College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China Introduction: Accurate identification of maize seed varieties is essential for enhancing crop yield and ...

Can AI create a professional headshot for your LinkedIn profile? See CNN producer's results ...

Abstract: LiteNet-CNN is a novel convolutional neural network architecture specifically designed for resource-constrained environments such as mobile devices and retail settings. The paper highlights ...

Microsoft has just announced a major upgrade to Python in Excel, allowing you to directly analyze and manipulate images within your spreadsheets. The feature is available for Excel on Windows, Mac, ...