IEEE

Enhancing Fashion Cloth Image Classification through Hybrid CNN-SVM Modeling:A Multi-Class Study

Abstract: The classification of fashion cloth images is an important and challenging task in the field of computer vision. In recent years, deep learning (DL) techniques, especially Convolutional ...
IEEE

A Hybrid Deep Learning Techniques Using BERT and CNN for Toxic Comments Classification

Abstract: Cyberbullying is a pervasive issue across all forms of media, affecting various demographics and platforms indiscriminately. From social media networks to online forums and comment sections ...
IEEE

Multi-Label Classification of Microblogging Texts Using Convolution Neural Network

Abstract: Microblogging sites contain a huge amount of textual data and their classification is an imperative task in many applications, such as information filtering, user profiling, topical analysis ...
IEEE

Explainable Fetal Ultrasound Classification with CNN and MLP Models

Abstract: Artificial Intelligence has greatly influenced healthcare, most particularly in medical imaging. This paper represents a review in large form that classifies fetal ultrasound images with the ...
IEEE

MDCNN: Multi-Teacher Distillation-Based CNN for News Text Classification

Abstract: News text classification is crucial for efficient information acquisition and dissemination. While deep learning models, such as BERT and BiGRU, excel in accuracy for text classification, ...
IEEE

MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation

Abstract: Test-time adaptation approaches have recently emerged as a practical solution for handling domain shift without access to the source domain data. In this paper, we propose and explore a new ...
IEEE

Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability

Abstract: The field of computer vision was initially inspired by the human visual system and has progressively expanded to include a broader range of machine vision applications. Consequently, image ...
IEEE

Performance Comparative Analysis of OvA, AvA, and OvO Algorithms in Multi-Class Classification

Abstract: The paper presents the result of comparative analysis of the main approaches to multi-class classification, synthesis of their mathematical models based on the considered algorithms is ...
IEEE

Medical Image Analysis for Brain Tumor Classification Using CNN Architecture

Abstract: Traditional brain tumor diagnosis and classification are time-consuming and heavily reliant on radiologist expertise. The ever-growing patient population generates vast data, rendering ...
GitHub

PulastTiwari/network-traffic-classifier-multi-ue

Network Traffic Classifier is a robust, production-ready solution for automated classification of network traffic into seven distinct application categories. Leveraging Python, Flask, and scikit-learn ...
IEEE

Multi-class boosting with fuzzy decision trees

Abstract: Boosting is a simple and effective procedure that combines several weak learners with the aim of generating a strong classifier. Multi-class boosting has been only recently studied in the ...
IEEE

Multi-Head Attention Mechanism in CNN-LSTM for Real Time ECG Arrhythmia Detection

Abstract: Heart arrhythmia detection is critical for diagnosing and managing cardiovascular diseases. Traditional methods for real-time ECG signal analysis, such as featurebased approaches and ...