C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Frontiers

Fine-grained image classification using the MogaNet network and a multi-level gating mechanism

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...
GitHub

Image Classification with Neural Networks in Python

This project demonstrates image classification using Convolutional Neural Networks (CNNs) in Python with TensorFlow and Keras, trained and tested on the CIFAR-10 dataset. The CIFAR-10 dataset consists ...
Frontiers

Enhanced hyperspectral image classification for coastal wetlands using a hybrid CNN ...

1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, China 2 ...
IEEE

Research on Image Classification of RBF Kernel SVM

Abstract: Support Vector Machine (SVM), a robust machine learning algorithm, exhibits exceptional efficacy in addressing image multi-classification challenges. This paper aims to discuss the image ...
GitHub

Image Classification with Bag of SIFT Representation + SVM Classifer

Given a dataset of images, we need to represent them using the bag of SIFT representation. This involves clustering SIFT descriptors into a visual word vocabulary, counting the frequency of ...
IEEE

Application of PSO and SVM in image classification

Abstract: In the few years, several neural networks are proposed to image classification. Support vector machine classifier employs the structural risk minimization principles, which make support ...