Digital Library
Search: "[ keyword: Machine Learning ]" (96)
A Mobility-Aware Dynamic TDD Scheduling Framework for 5G NR-Based V2X
Muneeb Muhammad, Kwang-Man Ko The Transactions of the Korea Information Processing Society,
Vol. 14, No. 7, pp. 516-523,
Jul.
2025
https://doi.org/10.3745/TKIPS.2025.14.7.516
Keywords: 5G NR, Time division duplexing (TDD), vehicle-to-everything (V2X), Mobility-aware scheduling, Machine Learning, Simulation of Urban Mobility (SUMO)
https://doi.org/10.3745/TKIPS.2025.14.7.516
Keywords: 5G NR, Time division duplexing (TDD), vehicle-to-everything (V2X), Mobility-aware scheduling, Machine Learning, Simulation of Urban Mobility (SUMO)
A Study on Machine Learning -based River Water Level Prediction Model for Flood Prevention
DeokHyun You, Heesun Roh, Suyeon Lim, Seongbok Baik, Yong-Geun Hong The Transactions of the Korea Information Processing Society,
Vol. 14, No. 6, pp. 431-450,
Jun.
2025
https://doi.org/10.3745/TKIPS.2025.14.6.431
Keywords: River Water Level Prediction, Flood Prediction, Machine Learning-based Predcition Models
https://doi.org/10.3745/TKIPS.2025.14.6.431
Keywords: River Water Level Prediction, Flood Prediction, Machine Learning-based Predcition Models
Machine Learning-Based Gambling Addiction Risk Prediction Model
Lee Seo Jin, Choi Ji Woong, Hong Seung Hyeon, Kim Jongwan The Transactions of the Korea Information Processing Society,
Vol. 14, No. 6, pp. 417-423,
Jun.
2025
https://doi.org/10.3745/TKIPS.2025.14.6.417
Keywords: Machine Learning, Supervised Learning, Gambling Addiction, Logistic Regression, Counseling Psychology
https://doi.org/10.3745/TKIPS.2025.14.6.417
Keywords: Machine Learning, Supervised Learning, Gambling Addiction, Logistic Regression, Counseling Psychology
A Machine Learning Model for Rapid Prediction of Smart Media Addiction Tendencies Based on Survey Data
Hong Seung Hyeon, Kwon Gi Hyuk, Lee Seo Jin, Kim Jongwan The Transactions of the Korea Information Processing Society,
Vol. 14, No. 5, pp. 297-304,
May.
2025
https://doi.org/10.3745/TKIPS.2025.14.5.297
Keywords: Smart Media, Smart Media Addiction, Machine Learning, Artificial intelligence, Counseling Psychology
https://doi.org/10.3745/TKIPS.2025.14.5.297
Keywords: Smart Media, Smart Media Addiction, Machine Learning, Artificial intelligence, Counseling Psychology
Transformer-based Short-term Drought Prediction with Feature Selection
Seo Jae Hyun The Transactions of the Korea Information Processing Society,
Vol. 14, No. 4, pp. 282-288,
Apr.
2025
https://doi.org/10.3745/TKIPS.2025.14.4.282
Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection
https://doi.org/10.3745/TKIPS.2025.14.4.282
Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection
Keyword Advertising Cost Prediction Using Crawling and Machine Learning Techniques
Kyungmin Jeon, Jaeyoung Lim, Sunghyun Kim, Hyunseo Cho, Daesik Jung, Jongwon Kim, Younggi Song, Kyungsoo Kim The Transactions of the Korea Information Processing Society,
Vol. 14, No. 4, pp. 248-256,
Apr.
2025
https://doi.org/10.3745/TKIPS.2025.14.4.248
Keywords: Advertising Expenses, keyword, Crawling, Machine Learning
https://doi.org/10.3745/TKIPS.2025.14.4.248
Keywords: Advertising Expenses, keyword, Crawling, Machine Learning
A Survey of Phishing Campaign Trends and the Classification of Detection Techniques
Ji-Hoon Park, Sang-Hoon Choi, Ki-Woong Park The Transactions of the Korea Information Processing Society,
Vol. 14, No. 3, pp. 149-160,
Mar.
2025
https://doi.org/10.3745/TKIPS.2025.14.3.149
Keywords: Phishing Campaign, Phishing Detection, Machine Learning, LLM, feature extraction
https://doi.org/10.3745/TKIPS.2025.14.3.149
Keywords: Phishing Campaign, Phishing Detection, Machine Learning, LLM, feature extraction
Development of a Model for Predicting the Severity of Traffic Accidents and Analysis of Accident Factors based on Machine Learning
Kim Jung Hyuk, Cho Nam Wook The Transactions of the Korea Information Processing Society,
Vol. 14, No. 2, pp. 72-81,
Feb.
2025
https://doi.org/10.3745/TKIPS.2025.14.2.72
Keywords: Machine Learning, Big data, Traffic Accident, Severity Prediction, Accident Factors
https://doi.org/10.3745/TKIPS.2025.14.2.72
Keywords: Machine Learning, Big data, Traffic Accident, Severity Prediction, Accident Factors
Research on Evaluation Methods for GPR-SEM Prediction Models
Moon Kyung-Yeol, Park Kun-Uk The Transactions of the Korea Information Processing Society,
Vol. 14, No. 1, pp. 14-20,
Jan.
2025
https://doi.org/10.3745/TKIPS.2025.14.1.14
Keywords: Machine Learning, Gaussian Proces Regression, GPR-SEM, Model Evaluation Method, Small-dataset
https://doi.org/10.3745/TKIPS.2025.14.1.14
Keywords: Machine Learning, Gaussian Proces Regression, GPR-SEM, Model Evaluation Method, Small-dataset
Clustering-based Model Compression Method for Deep Neural Networks
Byungchul Chae, Seonyeong Heo The Transactions of the Korea Information Processing Society,
Vol. 13, No. 11, pp. 585-589,
Nov.
2024
https://doi.org/10.3745/TKIPS.2024.13.11.585
Keywords: On-device Machine Learning, Model Compression, Kernel Clustering
https://doi.org/10.3745/TKIPS.2024.13.11.585
Keywords: On-device Machine Learning, Model Compression, Kernel Clustering
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KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
