Search Results - "Rhee, Jongtae"
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Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing
Published in Sensors (Basel, Switzerland) (04-09-2018)“…With the increase in the amount of data captured during the manufacturing process, monitoring systems are becoming important factors in decision making for…”
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HDPM: An Effective Heart Disease Prediction Model for a Clinical Decision Support System
Published in IEEE access (2020)“…Heart disease, one of the major causes of mortality worldwide, can be mitigated by early heart disease diagnosis. A clinical decision support system (CDSS) can…”
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A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing
Published in Sensors (Basel, Switzerland) (06-07-2018)“…Current technology provides an efficient way of monitoring the personal health of individuals. Bluetooth Low Energy (BLE)-based sensors can be considered as a…”
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Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest
Published in Applied sciences (01-08-2018)“…As the risk of diseases diabetes and hypertension increases, machine learning algorithms are being utilized to improve early stage diagnosis. This study…”
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Development of Disease Prediction Model Based on Ensemble Learning Approach for Diabetes and Hypertension
Published in IEEE access (2019)“…Early diseases prediction plays an important role for improving healthcare quality and can help individuals avoid dangerous health situations before it is too…”
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MongoDB-Based Repository Design for IoT-Generated RFID/Sensor Big Data
Published in IEEE sensors journal (15-01-2016)“…Internet of Things (IoT)-generated data are characterized by its continuous generation, large amount, and unstructured format. The existing relational database…”
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3D Position Estimation of Objects for Inventory Management Automation Using Drones
Published in Applied sciences (01-10-2023)“…With the recent development of drone technology, drones are being used in various fields. Drones have the advantage of being equipped with various devices to…”
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Multi-View Masked Autoencoder for General Image Representation
Published in Applied sciences (01-11-2023)“…Self-supervised learning is a method that learns general representation from unlabeled data. Masked image modeling (MIM), one of the generative self-supervised…”
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Diffusion-Denoising Process with Gated U-Net for High-Quality Document Binarization
Published in Applied sciences (01-10-2023)“…The binarization of degraded documents represents a crucial preprocessing task for various document analyses, including optical character recognition and…”
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False Positive RFID Detection Using Classification Models
Published in Applied sciences (2019)“…Radio frequency identification (RFID) is an automated identification technology that can be utilized to monitor product movements within a supply chain in…”
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An Affordable Fast Early Warning System for Edge Computing in Assembly Line
Published in Applied sciences (01-01-2019)“…Maintaining product quality is essential for smart factories, hence detecting abnormal events in assembly line is important for timely decision-making. This…”
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Margin and Shared Proxies: Advanced Proxy Anchor Loss for Out-of-Domain Intent Classification
Published in Applied sciences (01-03-2024)“…Out-of-Domain (OOD) intent classification is an important task for a dialog system, as it allows for appropriate responses to be generated. Previous studies…”
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Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method
Published in Computers (Basel) (01-09-2022)“…Developing a prediction model from risk factors can provide an efficient method to recognize breast cancer. Machine learning (ML) algorithms have been applied…”
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A Methodology for Utilizing Vector Space to Improve the Performance of a Dog Face Identification Model
Published in Applied sciences (01-03-2021)“…Recent improvements in the performance of the human face recognition model have led to the development of relevant products and services. However, research in…”
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Mixup Based Cross-Consistency Training for Named Entity Recognition
Published in Applied sciences (01-11-2022)“…Named Entity Recognition (NER) is at the core of natural language understanding. The quality and amount of datasets determine the performance of…”
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Deep Neural Network for Predicting Diabetic Retinopathy from Risk Factors
Published in Mathematics (Basel) (01-09-2020)“…Extracting information from individual risk factors provides an effective way to identify diabetes risk and associated complications, such as retinopathy, at…”
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A Self-Care Prediction Model for Children with Disability Based on Genetic Algorithm and Extreme Gradient Boosting
Published in Mathematics (Basel) (01-09-2020)“…Detecting self-care problems is one of important and challenging issues for occupational therapists, since it requires a complex and time-consuming process…”
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Performance Analysis and Assessment of Type 2 Diabetes Screening Scores in Patients with Non-Alcoholic Fatty Liver Disease
Published in Mathematics (Basel) (01-05-2023)“…Type 2 diabetes (T2D) and non-alcoholic fatty liver disease (NAFLD) are worldwide chronic diseases that have strong relationships with one another and commonly…”
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Performance Analysis of a Forecasting Relocation Model for One-Way Carsharing
Published in Applied sciences (01-06-2017)“…A carsharing service can be seen as a transport alternative between private and public transport that enables a group of people to share vehicles based at…”
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Ensuring the Visibility and Traceability of Items through Logistics Chain of Automotive Industry Based on AutoEPCNet Using
Published in Advances in electrical and electronic engineering (28-11-2016)“…Traceability in logistics is the capability of the participants to trace the products throughout the supply chain by means of either the product and/or…”
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