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Search: "[ keyword: PRED ]" (119)
Branch Prediction with Speculative History and Its Effective Recovery Method
Jong Wook Kwak The KIPS Transactions:PartA,
Vol. 15, No. 4, pp. 217-226,
Aug.
2008
10.3745/KIPSTA.2008.15.4.217
A Power-aware Branch Predictor for Embedded Processors
Cheol Hong Kim , Sung Gun Song The KIPS Transactions:PartA,
Vol. 14, No. 6, pp. 347-356,
Dec.
2007
10.3745/KIPSTA.2007.14.6.347
A Methodology to Simulate I/O-Intensive Applications
Hyeon Sang Eom The KIPS Transactions:PartA,
Vol. 13, No. 5, pp. 445-454,
Oct.
2006
10.3745/KIPSTA.2006.13.5.445
A Study on Peak Load Prediction Using TCN Deep Learning Model
Lee Jung Il KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 6, pp. 251-258,
Jun.
2023
https://doi.org/10.3745/KTSDE.2023.12.6.251
Keywords: Peak Load Prediction, Artificial neural network, Deep Learning, Hyper Parameter Optimization
Keywords: Peak Load Prediction, Artificial neural network, Deep Learning, Hyper Parameter Optimization
Ensemble Learning-Based Prediction of Good Sellers in Overseas Sales of Domestic Books and Keyword Analysis of Reviews of the Good Sellers
Do Young Kim, Na Yeon Kim, Hyon Hee Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 4, pp. 173-178,
Apr.
2023
https://doi.org/10.3745/KTSDE.2023.12.4.173
Keywords: Ensemble learning, Good Seller Prediction, Book Review Analysis, Text Mining, Keyword Analysis
Keywords: Ensemble learning, Good Seller Prediction, Book Review Analysis, Text Mining, Keyword Analysis
Towards Carbon-Neutralization: Deep Learning-Based Server Management Method for Efficient Energy Operation in Data Centers
Sang-Gyun Ma, Jaehyun Park, Yeong-Seok Seo KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 4, pp. 149-158,
Apr.
2023
https://doi.org/10.3745/KTSDE.2023.12.4.149
Keywords: data center, Deep Learning, LSTM, Quality of Service, Server Management, traffic prediction
Keywords: data center, Deep Learning, LSTM, Quality of Service, Server Management, traffic prediction
Data Communication Prediction Model in Multiprocessors based on Robust Estimation
Jang Hwan Jun , Kang Woo Lee The KIPS Transactions:PartA,
Vol. 12, No. 3, pp. 243-252,
Jun.
2005
10.3745/KIPSTA.2005.12.3.243
Learning Data Model Definition and Machine Learning Analysis for Data-Based Li-Ion Battery Performance Prediction
Byoungwook Kim, Ji Su Park, Hong-Jun Jang KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 3, pp. 133-140,
Mar.
2023
https://doi.org/10.3745/KTSDE.2023.12.3.133
Keywords: Lithium-ion battery, Battery Performance Prediction, Machine Learning, Learning Data Model
Keywords: Lithium-ion battery, Battery Performance Prediction, Machine Learning, Learning Data Model
Comparison of Machine Learning-Based Greenhouse VPD Prediction Models
Jang Kyeong Min, Lee Myeong Bae, Lim Jong Hyun, Oh Han Byeol, Shin Chang Sun, Park Jang Woo KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 3, pp. 125-132,
Mar.
2023
https://doi.org/10.3745/KTSDE.2023.12.3.125
Keywords: Machine Learning, Vapor Pressure Deficit(VPD), Prediction Model, Smart Farm, Light Gradient Boosting Machine(LGBM), RandomForest
Keywords: Machine Learning, Vapor Pressure Deficit(VPD), Prediction Model, Smart Farm, Light Gradient Boosting Machine(LGBM), RandomForest
Predicting Unseen Object Pose with an Adaptive Depth Estimator
Sungho Song, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 12, pp. 509-516,
Dec.
2022
https://doi.org/10.3745/KTSDE.2022.11.12.509
Keywords: 3D Vision, Unknown Object, 6D Pose Prediction, depth estimation, deep neural network
Keywords: 3D Vision, Unknown Object, 6D Pose Prediction, depth estimation, deep neural network