Chuan-Yu Chang

Biographic Data

ID9998601
NAMEChuan-Yu Chang
GIVEN NAMESChuan-Yu
FAMILY NAMEChang
SIGNATURECHANG C
AFFILIATIONSIndustrial Technology Research Institute
ORCID0000-0001-9476-8130
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0

  • E-OptEEG

    Open AccessJayakrishnan Anandakrishnan, Kuei-Chung Chang et al.ARTICLEIEEE Transactions on Computational…2026

    Electroencephalogram (EEG) signal processing is essential for achieving accurate and efficient real-time edge computing, particularly in resource-constrained smart wearables. They demand lightweight and optimized solutions for rapid analysis and decision-making. However, the higher dimensionality of EEG signals introduces challenges of latency and computational cost on edge devices. This article presents E-OptEEG, a hybrid ensemble metaheuristic …

  • MRI brain tumor segmentation using residual Spatial Pyramid Pooling-powered 3D U-Net

    Open AccessSanchit Vijay, Thejineaswar Guhan et al.ARTICLEFrontiers in Public Health2023

    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-upsampling approach to segment tumors. U-Nets rely on residual connections to pass information during upsampling; however, an upsampling block only receives information from one downsampling block. This restricts the co…

  • A framework to distinguish healthy/cancer renal CT images using the fused deep features

    Open AccessV Rajinikanth, P M Durai Raj Vincent et al.ARTICLEFrontiers in Public Health2023

    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, and cancer in the kidney is a medical emergency and needs accurate diagnosis and well-organized management. Methods: The proposed work aims to develop a framework to classify renal computed tomography (CT) im…

  • A Multistage Heterogeneous Stacking Ensemble Model for Augmented Infant Cry Classification

    Open AccessVinayak Ravi Joshi, Kathiravan Srinivasan et al.ARTICLEFrontiers in Public Health2022

    Understanding the reason for an infant's cry is the most difficult thing for parents. There might be various reasons behind the baby's cry. It may be due to hunger, pain, sleep, or diaper-related problems. The key concept behind identifying the reason behind the infant's cry is mainly based on the varying patterns of the crying audio. The audio file comprises many features, which are highly important in classifying the results. It is important to…

  • A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning

    Open AccessM Akshay Kumaar, Duraimurugan Samiayya et al.ARTICLEFrontiers in Public Health2022

    The unbounded increase in network traffic and user data has made it difficult for network intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e-healthcare since the patients' medical records should be kept highly secure, confidential, and accurate. Any change in the actual patient data can lead to errors in the diagnosis and treatment. Most of the existing artificial intelligence-based systems are trained …

  • Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models

    Open AccessK Ashwini, Ashwini K et al.ARTICLEFrontiers in Public Health2021

    Neonatal infants communicate with us through cries. The infant cry signals have distinct patterns depending on the purpose of the cries. Preprocessing, feature extraction, and feature selection need expert attention and take much effort in audio signals in recent days. In deep learning techniques, it automatically extracts and selects the most important features. For this, it requires an enormous amount of data for effective classification. This …

  • Ontology-Enabled Emotional Sentiment Analysis on Covid-19 Pandemic-Related Twitter Streams

    Open AccessSenthil Kumar Narayanasamy, Kathiravan Srinivasan et al.ARTICLEFrontiers in Public Health2021

    The exponential growth of social media users has changed the dynamics of retrieving the potential information from user-generated content and transformed the paradigm of information-retrieval mechanism with the novel developments on the concept of “web of data”. In this regard, our proposed Ontology-Based Sentiment Analysis provides two novel approaches: First, the emotion extraction on tweets related to COVID-19 is carried out by a well-formed t…

  • Performance Evaluation of Regression Models for the Prediction of the Covid-19 Reproduction Rate

    Open AccessJayakumar Kaliappan, Kathiravan Srinivasan et al.ARTICLEFrontiers in Public Health2021

    This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, and XGBOOST for COVID-19 reproduction rate prediction and to study the impact of feature selection algorithms and hyperparameter tuning on prediction. Sixteen features (for example, Total_cases_per_million and Total_deaths_per_million) related to si…