IEEE

WTC-HST: Wavelet Transform Convolutions and Hierarchical Spatial Transformers for Polarimetric SAR Image Classification

Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification is an important task in remote sensing. However, due to its complex scattering mechanism and high-dimensional features, ...
IEEE

Brain Cancer MRI Classification using CNN Architectures with Grid Search Enhanced with Coordinate Ascent Optimization

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
IEEE

Waste Revolution: A Web-Based Waste Classification and Disposal System using CNN

Abstract: The advancement of technology and innovation in universities is essential for promoting sustainable development. At Universiti Sultan Zainal Abidin (UniSZA), this commitment is reflected in ...
GitHub

tensorflow-keras-cnn-image-classification

Add a description, image, and links to the tensorflow-keras-cnn-image-classification topic page so that developers can more easily learn about it.
IEEE

Gender Prediction through Image Analysis: A CNN Model Approach

Abstract: Deep learning finds use in many fields, including security, marketing, and healthcare; gender classification has drawn a lot of interest in all of them. This paper uses an open-source Kaggle ...
Frontiers

SE-enhanced 1-D CNN with full-band hyperspectral imaging for rapid and accurate maize seed variety classification

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 ...
IEEE

S2DBFT: Spectral–Spatial Dual-Branch Fusion Transformer for Hyperspectral Image Classification

Abstract: Convolutional neural network (CNN)- and Transformer-based models have achieved remarkable success in hyperspectral image (HSI) classification tasks due to their outstanding ability to ...