IEEE

Probabilistic Linguistic Convolutional Neural Network Dealing With Low-Quality Image Classification

Abstract: With the advent of the smart medical era, medical images play a central role in clinical diagnosis and treatment. However, the existence of low-quality medical images has significantly ...
IEEE

Analysis of Ring Oscillator Characteristics Induced by Line Edge Roughness Using Convolution Neural Network

Abstract: The gate-all-around field-effect transistors (GAAFETs) are highly susceptible to performance variations caused by process-induced random variation. Line ...
IEEE

SAE-CNN: A Spatial Attention Augmented Convolutional Neural Network for Service Type Identification in 5G Heterogeneous Networks

Abstract: As the rapid expansion of 5G heterogeneous networks brings increasingly complex traffic patterns, effective traffic identification becomes crucial to maintaining optimal network management ...
IEEE

An Analysis of Training Convolution Neural Networks for Image Classification Using Distributed Deep Learning

Abstract: Deep learning algorithms have seen a growth in recent times due to their capability of analyzing hidden patterns in large datasets efficiently. However, an increase in the complexity of ...
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

Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information

Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From ...
IEEE

Implementation of the Convolutional Neural Network (CNN) Method to Detect Traffic Congestion and Determine the Best Route Using the Heuristic Search Algorithm on Palembang City ...

Abstract: The city of Palembang is facing a significant increase in traffic density, causing various problems such as congestion. Research was conducted to overcome this problem by using various ...
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
IEEE

Detection of Brain Haemorrhage Using Convolutional Neural Network

Abstract: Recently, deep learning calculations have been used for picture identification and detection, with excellent results in the pharmaceutical industry, such as clinical image research and ...
IEEE

MRSDI-CNN: Multi-Model Rail Surface Defect Inspection System Based on Convolutional Neural Networks

Abstract: Defects on rail surfaces, which have become critical problems, need to be detected and removed as quickly as possible to ensure the fast, safe, and stable operation of trains. At present, ...
IEEE

An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification

Abstract: Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) have gained substantial attention, particularly for motor imagery (MI) that facilitates direct brain-to-device communication ...
IEEE

Application of Convolution Neural Network for Unfolding Simulated Neutron Spectra of an Activation Spectrometer

Abstract: Neutron studies are of significant interest in fields such as radiation protection, nuclear reactor physics, and criticality safety, where accurate determination of the neutron field is ...