IEEE

FVSR-CT: A CNN- and Transformer-based Model for Better Face Video Super-Resolution Results

Abstract: Research on face video super-resolution has made significant strides at 2x and 4x magnification, but there is comparatively less work on higher magnification tasks. Leveraging the spatial ...
IEEE

Fine-Tuning Pretrained CNN Models for Knee Osteoarthritis Diagnosis: Impact of Layer Freezing and Activation Function Selection

Abstract: Knee osteoarthritis, often known as KOA, is a degenerative joint condition that lasts for a long time and affects millions of people around the world and has a big effect on their mental and ...
IEEE

Monitoring Damage Evolution of CFRP via 1D-CNN-Based Feature Fusion of Acoustic Emission and Electrical Resistance Measurement

Abstract: Identifying damage processes in carbon fiber-reinforced polymer (CFRP) is critical for inspection. Existing detection methods primarily rely on single-sensor techniques, which often fail to ...
IEEE

CNN-Based Machine Learning Model for Disease Prediction in Crops

Abstract: Potato crops are vital to global food security, but they are susceptible to several diseases that hinder growth and yield. Traditional methods of detecting these diseases rely on ...
IEEE

Hybrid CNN and Catboost Model for Real-Time Environmental Monitoring in Biofloc Systems

Abstract: The health of marine species in aquaculture depends on maintaining ideal water quality. Conventional biofloc monitoring techniques are time-consuming and do not respond in real time. In ...
IEEE

Deep Learning-Based ECG Signal Quality Determination with Optimized CNN Hyperparameters

Abstract: Electrocardiogram (ECG) signal quality assessment (SQA) is crucial for accurate cardiac diagnosis and monitoring. This study proposes a deep learning-based approach using a convolutional ...
IEEE

Implementation and Comparison of CNN Models on CIFAR-10 Dataset

Abstract: This study investigates the vulnerability of Convolutional Neural Network (CNN) models to adversarial attacks, focusing on the Fast Gradient Sign Method (FGSM). We implemented and compared ...
IEEE

CNN-Based Multivariate Time Series Classification for Health Monitoring in Wireless Body Area Networks

Abstract: A wireless body area network (WBAN) is a crucial technology for implementing intelligent health monitoring. Traditional WBANs focus on the monitoring and classification of single ...
IEEE

SDCnet: A Deep Learning Network Model for Road Segmentation Based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
IEEE

A Multimodal IoT Sensing System with Hybrid LSTM-CNN Model for Predictive Fault Diagnosis in Elevators

Abstract: This paper presents a multimodal Internet of Things (IoT)-enabled sensing system integrated with a hybrid deep learning framework for predictive fault diagnosis in elevator systems. The ...
IEEE

A Hybrid 3D CNN and Artificial Ecosystem-based Optimization (AEO) Model for Thyroid Nodule Detection

Abstract: Generally, doctors frequently require sophisticated diagnostic equipment to identify and do follow-up diagnoses on thyroid nodules. They spend a long time manually extracting features from ...
IEEE

Hybrid CNN-XAI Model for Predicting Student Academic Performance

Abstract: This study presents a combined method that improves the ability to predict and understand outcomes by merging Convolutional Neural Networks (CNN) with Explainable Artificial Intelligence ...