IEEE

Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection

Abstract: Network Intrusion Detection Systems (NIDS) are essential for protecting computer networks from malicious activities, including Denial of Service (DoS), Probing, User-to-Root (U2R), and ...
IEEE

Multiscale Segmentation-Guided Fusion Network for Hyperspectral Image Classification

Abstract: Convolution Neural Networks (CNNs) have demonstrated strong feature extraction capabilities in Euclidean spaces, achieving remarkable success in hyperspectral image (HSI) classification ...
IEEE

SCADA Data-Driven Spatio-Temporal Graph Convolutional Neural Network for Wind Turbine Fault Diagnosis

Abstract: Supervisory control and data acquisition (SCADA) systems collect vast amounts of multi-sensor monitoring data, which is widely used in the intelligent fault diagnosis of wind turbines with ...
IEEE

Gas Volume Fraction Measurement for Gas-Liquid Two-Phase Flow Based on Dual CNN-Transformer Mixture Neural Network

Abstract: Accurate gas volume fraction (GVF) measurement in gas-liquid two-phase flow remains a key challenge in industrial process monitoring and control. In order to address this, a deep ...
IEEE

Hybrid Approximate Multipliers With Merits Balance for Digital Processing and Neural Networks

Abstract: In this article, hybrid approximate multiplier (HAMs) designs based on the combination of logarithmic multiplication and piecewise linear (PWL) fitting are proposed. After extracting the ...
IEEE

Skin Cancer Recognition Using Convolution Neural Network

Abstract: It causes impairment or death since it arises in the skin tissue and destroys surrounding tissues. Skin cancer is one of the commonest growths in the skin cells, while it is caused by ...
IEEE

Efficient Group Cosine Convolutional Neural Network for EEG-Based Seizure Identification

Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...
IEEE

Translation of Sign Language into Nepali Speech Using a Context-Aware Neural Network Framework

In recent years, communication between hearing-impaired individuals and the general public has remained a major challenge, especially in Nepal where assistive technologies are limited. The existing ...
IEEE

Effect of Segmentation on Skin Lesion Classification Using Multi-Scale Convolution Neural Networks

Abstract: Addressing skin lesions is a significant medical challenge due to their complex structures. Early detection and treatment are crucial, as some lesions can be life-threatening. Recent ...
IEEE

Hand Motion Sign Language Detection Using Convolutional Neural Network (CNN) and YOLOv5 Object Detection Framework

Abstract: The majority of people who don't hear or speak depend upon sign language as their main method of communication. Sign language mastery presents particular difficulties to learners. Our system ...
IEEE

Temporal Convolutional Neural Network UWB Positioning Method Based on SimCLR-CIR-SC Autonomous Classification

Abstract: Ultrawideband (UWB) technology has garnered considerable research interest for indoor positioning applications owing to its temporal resolution and strong signal penetration capabilities.