IEEE

Open-Set Domain Adaptation for Hyperspectral Image Classification Based on Reconstruction Discrepancy and Feature Alignment

Abstract: For hyperspectral image classification, domain adaptation algorithms often assume that the source domain and target domain share the same label space, and thus, classify all samples in the ...
IEEE

EffNet-SVM: A Hybrid Model for Diabetic Retinopathy Classification Using Retinal Fundus Images

Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
IEEE

Design of a CNN Accelerator for Multitask EEG Signal Classification Based on RISC-V

Abstract: Electroencephalogram (EEG) has been widely employed in emotion recognition, seizure detection, and brain-computer interface applications. This article presents an elaborated RISC-V-based EEG ...
Local News 8

Trump White House hangs image of Biden autopen signature in new ‘Presidential Walk of Fame’

(CNN) — President Donald Trump has introduced a “Presidential Walk of Fame” along a noticeable walkway outside the West Wing of the White House. “The Presidential Walk of Fame has arrived on the West ...
IEEE

P-TAME: Explain Any Image Classifier With Trained Perturbations

Abstract: The adoption of Deep Neural Networks (DNNs) in critical fields where predictions need to be accompanied by justifications is hindered by their inherent black-box nature. This paper ...
GitHub

Consider using real-world datasets for text classifier tutorials

All of the tutorials for the distributed classifiers use toy data, missing the use of some important NeMo Curator core concepts like performance optimization, DocumentBatch, applying filtering using ...
IEEE

CM2-Net: A Hybrid CNN-Mamba2 Net for 3D Electromagnetic Tomography image reconstruction

Abstract: Three-dimensional electromagnetic tomography (3D EMT) image reconstruction is characterized by larger data volumes, more complex structures, and stronger spatial correlations. These ...
IEEE

A CNN-Transformer Approach for Image-Text Multimodal Classification with Cross-Modal Feature Fusion

Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...
IEEE

Optimisation of Attentional EEG Signal Classification Model Based on Attentional Mechanism of CNN-LSTM Algorithm

Abstract: Deep learning has been widely applied to EEG signal classification in recent years, and this study aims to optimise and validate the effectiveness and performance advantages of an EEG signal ...
GitHub

I-want-pizza/Numers_images_Classifier

Классический проект распознавания рукописных цифр MNIST на PyTorch. Репозиторий содержит полный цикл: загрузка и подготовка данных, определение ...
GitHub

Fruit and Vegetable Image Classification

A comprehensive machine learning project for classifying images of fruits and vegetables using Convolutional Neural Networks (CNNs). This project includes both a training pipeline and a web ...