Chuan‐Yu Chang
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View article: A Robust and Efficient Workflow for Heart Valve Disease Detection from PCG Signals: Integrating WCNN, MFCC Optimization, and Signal Quality Evaluation
A Robust and Efficient Workflow for Heart Valve Disease Detection from PCG Signals: Integrating WCNN, MFCC Optimization, and Signal Quality Evaluation Open
This study proposes a comprehensive and computationally efficient system for the recognition of heart valve diseases (HVDs) in phonocardiogram (PCG) signals, emphasizing an end-to-end workflow suitable for real-world deployment. The core o…
View article: Feature-Shuffle and Multi-Head Attention-Based Autoencoder for Eliminating Electrode Motion Noise in ECG Applications
Feature-Shuffle and Multi-Head Attention-Based Autoencoder for Eliminating Electrode Motion Noise in ECG Applications Open
Electrocardiograms (ECGs) are critical for cardiovascular disease diagnosis, but their accuracy is often compromised by electrode motion (EM) artifacts—large, nonstationary distortions caused by patient movement and electrode-skin interfac…
View article: A noncarcinoma mouse cell line is nonsusceptible to Newcastle disease virus established by spontaneous immortalization
A noncarcinoma mouse cell line is nonsusceptible to Newcastle disease virus established by spontaneous immortalization Open
Newcastle disease virus (NDV), as an avian pathogen, can infect a broad spectrum of cell lines in vitro. However, noncarcinoma cell lines possessing nonsusceptibility to NDV are rare. Here, we isolated primary mouse embryonic fibroblasts (…
View article: A pan-genotypic indirect competitive ELISA for serological detection of pigeon circovirus antibodies
A pan-genotypic indirect competitive ELISA for serological detection of pigeon circovirus antibodies Open
Pigeon circovirus (PiCV) infection, which causes young pigeon disease syndrome (YPDS) and immunosuppression, significantly impacts both the meat and racing pigeon industries. Currently, no inactivated vaccine exists for PiCV prevention, pr…
View article: Generating Parathyroid Reports Using YOLO-Based Large Language Models
Generating Parathyroid Reports Using YOLO-Based Large Language Models Open
Different tissues and structures in ultrasound produce varying sound wave reflections, resulting in black-and-white grayscale images. Radiologists review thousands of medical images daily and write detailed reports. In parathyroid ultrasou…
View article: Deep Learning-Based Classification and Semantic Segmentation of Lung Tuberculosis Lesions in Chest X-ray Images
Deep Learning-Based Classification and Semantic Segmentation of Lung Tuberculosis Lesions in Chest X-ray Images Open
We present a deep learning (DL) network-based approach for detecting and semantically segmenting two specific types of tuberculosis (TB) lesions in chest X-ray (CXR) images. In the proposed method, we use a basic U-Net model and its enhanc…
View article: The Influence of Geometric Parameters for Training an Artificial Neural Network to Predict the Band Structure of 1-D Fishbone Photonic Crystal
The Influence of Geometric Parameters for Training an Artificial Neural Network to Predict the Band Structure of 1-D Fishbone Photonic Crystal Open
With the rising demand for the transmission of large amounts of information over long distances, the development of integrated light circuits is the key to improving this technology, and silicon photonics have been developed with low absor…
View article: Classification of Pancreatic Cystic Lesions Using ResNet Deep Learning Network in Confocal Laser Endomicroscopy Videos
Classification of Pancreatic Cystic Lesions Using ResNet Deep Learning Network in Confocal Laser Endomicroscopy Videos Open
Accurate classification of pancreatic cystic lesions is crucial to differentiate mucinous lesions of malignant potential. We utilized the ResNet-50 and ResNet-101 network to develop a model for classification of the pancreatic cystic lesio…
View article: Vertical-Line Mura Defect Detection for TFT-LCDs
Vertical-Line Mura Defect Detection for TFT-LCDs Open
Mura defects, which manifest as irregularities in brightness and color on display screens, present persistent challenges for Thin Film Transistor Liquid Crystal Display (TFT-LCD) manufacturers. While traditional methods effectively detect …
View article: Machine learning based approach for exploring online shopping behavior and preferences with eye tracking
Machine learning based approach for exploring online shopping behavior and preferences with eye tracking Open
In light of advancements in information technology and the widespread impact of the COVID-19 pandemic, consumer behavior has undergone a significant transformation, shifting from traditional in-store shopping to the realm of online retaili…
View article: Design of Intelligent Neuro-Supervised Networks for Brain Electrical Activity Rhythms of Parkinson’s Disease Model
Design of Intelligent Neuro-Supervised Networks for Brain Electrical Activity Rhythms of Parkinson’s Disease Model Open
The objective of this paper is to present a novel design of intelligent neuro-supervised networks (INSNs) in order to study the dynamics of a mathematical model for Parkinson’s disease illness (PDI), governed with three differential classe…
View article: Fog-Based Smart Cardiovascular Disease Prediction System Powered by Modified Gated Recurrent Unit
Fog-Based Smart Cardiovascular Disease Prediction System Powered by Modified Gated Recurrent Unit Open
The ongoing fast-paced technology trend has brought forth ceaseless transformation. In this regard, cloud computing has long proven to be the paramount deliverer of services such as computing power, software, networking, storage, and datab…
View article: Brain Tumor Class Detection in Flair/T2 Modality MRI Slices Using Elephant-Herd Algorithm Optimized Features
Brain Tumor Class Detection in Flair/T2 Modality MRI Slices Using Elephant-Herd Algorithm Optimized Features Open
Several advances in computing facilities were made due to the advancement of science and technology, including the implementation of automation in multi-specialty hospitals. This research aims to develop an efficient deep-learning-based br…
View article: A Glaucoma Detection System Based on Generative Adversarial Network and Incremental Learning
A Glaucoma Detection System Based on Generative Adversarial Network and Incremental Learning Open
Among various eye diseases, glaucoma is one of the leading causes of blindness. Glaucoma is also one of the most common eye diseases in Taiwan. Glaucoma screenings can use optical coherence tomography (OCT) to locate areas in which the ret…
View article: MRI brain tumor segmentation using residual Spatial Pyramid Pooling-powered 3D U-Net
MRI brain tumor segmentation using residual Spatial Pyramid Pooling-powered 3D U-Net Open
Brain tumor diagnosis has been a lengthy process, and automation of a process such as brain tumor segmentation speeds up the timeline. U-Nets have been a commonly used solution for semantic segmentation, and it uses a downsampling-upsampli…
View article: A framework to distinguish healthy/cancer renal CT images using the fused deep features
A framework to distinguish healthy/cancer renal CT images using the fused deep features Open
Introduction Cancer happening rates in humankind are gradually rising due to a variety of reasons, and sensible detection and management are essential to decrease the disease rates. The kidney is one of the vital organs in human physiology…
View article: A Smart Leaf Blow Robot Based on Deep Learning Model
A Smart Leaf Blow Robot Based on Deep Learning Model Open
Although leaves are everywhere in the world, and they also play a vital role in our daily life, they tend to fall all over the ground in due course, thereby making it difficult for pedestrians and vehicles to move. In this paper, an automa…
View article: Improvement of Human Pose Estimation and Processing With the Intensive Feature Consistency Network
Improvement of Human Pose Estimation and Processing With the Intensive Feature Consistency Network Open
The modeling of human body kye-points is the most significant aspect of pose estimation appropriately. Computer vision algorithm identifies human pose, body-movement, and action in many ways. Most of the previous works taken advantage for …
View article: Tire Bubble Defect Detection Using Incremental Learning
Tire Bubble Defect Detection Using Incremental Learning Open
Digital shearography is a technique that has recently been applied to material inspections that cannot be performed by the naked eyes, including the detection of air bubble defects in tires. Although digital shearography detects bubbles th…
View article: Intelligent Object Tracking with an Automatic Image Zoom Algorithm for a Camera Sensing Surveillance System
Intelligent Object Tracking with an Automatic Image Zoom Algorithm for a Camera Sensing Surveillance System Open
Current surveillance systems frequently use fixed-angle cameras and record a feed from those cameras. There are several disadvantages to such systems, including a low resolution for far away objects, a limited frame range and wasted disk s…
View article: RETRACTED ARTICLE: Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images
RETRACTED ARTICLE: Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images Open
Convolutional Neural Network (CNN) has been employed in classifying the COVID cases from the lungs’ CT-Scan with promising quantifying metrics. However, SARS COVID-19 has been mutated, and we have many versions of the virus B.1.1.7, B.1.13…