- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Metaheuristic Optimization Algorithms Research
- Assembly Line Balancing Optimization
- Optimization and Search Problems
- Congenital Heart Disease Studies
- Advanced Multi-Objective Optimization Algorithms
- Coronary Artery Anomalies
- Vehicle Routing Optimization Methods
- Advanced Steganography and Watermarking Techniques
- Fuzzy Logic and Control Systems
- Stock Market Forecasting Methods
- COVID-19 diagnosis using AI
- Neural Networks and Applications
- Supply Chain and Inventory Management
- Medical Image Segmentation Techniques
- Kawasaki Disease and Coronary Complications
- Low-power high-performance VLSI design
- Chaos-based Image/Signal Encryption
- Cardiac Valve Diseases and Treatments
- Cardiac and Coronary Surgery Techniques
- Advanced Image and Video Retrieval Techniques
- Imbalanced Data Classification Techniques
- Glaucoma and retinal disorders
- Scheduling and Timetabling Solutions
Tamkang University
2021-2024
Chang Gung Memorial Hospital
2023
Keelung Chang Gung Memorial Hospital
2022
Cheng Shiu University
2014-2021
Linkou Chang Gung Memorial Hospital
2020
Chang Gung University
2020
Memorial Hospital of South Bend
2015
Nanhua University
2008-2012
University of South China
2008-2011
National Tsing Hua University
2006-2009
Because of the popularity Internet, integration services have gradually changed people daily life, such as e-commerce activities on transactions, transportation and so on. The E-auction, one popular activities, allows bidders to directly bid products over Internet. As for sealed bid, extra transaction cost is required intermediaries because third-party important role between buyers sellers help trade both during auction. In addition, it never guarantees whether trust. To resolve problems,...
Machine learning classifiers are an effective approach to detecting glaucomatous fundus images based on optic disc topographic features making it a straightforward and approach.
Introduction Tau-targeted positron emission tomography (tau-PET) is a potential tool for the differential diagnosis of Alzheimer’s disease (AD) and to clarify distribution tau deposition. In addition quantitative analysis tau-PET scans, visual reading supports assessment loading clinical diagnosis. This study aimed propose method visually interpreting using [ 18 F] Florzolotau tracer investigate performance utility reading. Materials methods A total number 46 individuals with 12 cognitively...
Kawasaki disease (KD) may increase the risk of myocardial infarction or sudden death. In children, delayed KD diagnosis and treatment can coronary lesions (CLs) incidence by 25% mortality approximately 1%. This study focuses on use deep learning algorithm-based detection from cardiac ultrasound images.Specifically, object for identification artery dilatation brightness left right is proposed different AI algorithms were compared. infants young a dilated only 1-2 mm in diameter than normal...
Power Gating is effective for reducing leakage power. Previously, a Distributed Sleep Transistor Network (DSTN) was proposed to reduce the sleep transistor area by connecting all virtual ground lines together minimize Maximum Instantaneous Current (MIC) through transistors. In this paper, we propose new methodology determining size of transistors DSTN structure. We present novel algorithms and theorems efficiently estimating tight upper bound voltage drop. also efficient heurists minimizing...
<abstract><p>In this research, we studied modified inertial composite subgradient extragradient implicit rules for finding solutions of a system generalized equilibrium problems with common fixed-point problem and pseudomonotone variational inequality constraints. The suggested methods consisted an iterative algorithm, hybrid deepest-descent technique, method. We proved that the constructed algorithms converge to solution considered problem, which also solved some hierarchical...
Doctors conventionally analyzed echocardiographic images for diagnosing congenital heart diseases (CHDs).However, this process is laborious and depends on the experience of doctors.This study investigated use deep learning algorithms image detection ventricular septal defect (VSD), most common type.Color Doppler containing three types VSDs were tested with color doppler ultrasound medical images.To best our knowledge, first one to solve object problem by using a modified YOLOv4-DenseNet...
To determine whether occupation type, distinguished by socioeconomic status (SES) and sedentary status, is associated with metabolic syndrome (MetS) risk.We analysed two data sets covering 73 506 individuals. MetS was identified according to the criteria of modified Adult Treatment Panel III. Eight occupational categories were considered: professionals, technical workers, managers, salespeople, service staff, administrative manual labourers taxi drivers; occupations grouped into...
Background: Congenital heart diseases (CHDs), particularly atrial and ventricular septal defects, pose significant health risks common challenges in detection via echocardiography. Doctors often employ the cardiac structural information during diagnostic process. However, prior CHD research has not determined influence of including labeling process application data augmentation techniques. Methods: This study utilizes advanced artificial intelligence (AI)-driven object frameworks,...
The multiple traveling salesmen problem (mTSP) considers the $m$ to visit $n$ cities. This involves assignment of some locations and we have optimize sequence within route, so it is even harder than salesman (TSP) in nature. As a result, there are algorithms used solve mTSP when size large. Particularly, genetic algorithm (GA) quite famous solving this while When compare major existing encoding methods for mTSP, best approach could be two-part chromosome due its solution space smallest. two...
Patients with end-stage renal disease undergoing maintenance hemodialysis (MHD) are highly prone to infections. The potential clinical usefulness of (18)F-FDG PET/CT for the detection infections unknown origin in this patient population remains unclear. This study was designed investigate issue.Between October 2011 and July 2014, a total 104 adult MHD patients sepsis underwent infection foci. Follow-up continued until 2014. Positive findings mortality served as main outcome measures.Of...