Digital Library
Search: "[ keyword: 서포트 벡터 머신 ]" (6)
Audio Segmentation and Classification Using Support Vector Machine and Fuzzy C-Means Clustering Techniques
Ngoc Nguyen , Myeong Su Kang , Cheol Hong Kim The KIPS Transactions:PartB ,
Vol. 19, No. 1, pp. 20-27,
Feb.
2012
10.3745/KIPSTB.2012.19.1.20
10.3745/KIPSTB.2012.19.1.20
Color Laser Printer Identification through Discrete Wavelet Transform and Gray Level Go-occurrence Matrix
Ji Yeoun Baek , Heung Su Lee , Seung Gyu Kong , Jung Ho Choi , Yeon Mo Yang , Hae Yeoun Lee The KIPS Transactions:PartB ,
Vol. 17, No. 3, pp. 197-206,
Jun.
2010
10.3745/KIPSTB.2010.17.3.197
10.3745/KIPSTB.2010.17.3.197
An Implementation of Gaze Recognition System Based on SVM
Kue Bum Lee , Dong Ju Kim , Kwang Seok Hong The KIPS Transactions:PartB ,
Vol. 17, No. 1, pp. 1-8,
Feb.
2010
10.3745/KIPSTB.2010.17.1.1
10.3745/KIPSTB.2010.17.1.1
Face Identification Using a Near-Infrared Camera in a Nonrestrictive In-Vehicle Environment
Min Song Ki, Yeong Woo Choi KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 3, pp. 99-108,
Mar.
2021
https://doi.org/10.3745/KTSDE.2021.10.3.99
Keywords: Face Identification, near-infrared image, Multi Support Vector Machine (Multi-SVM), Light Overexposure
https://doi.org/10.3745/KTSDE.2021.10.3.99
Keywords: Face Identification, near-infrared image, Multi Support Vector Machine (Multi-SVM), Light Overexposure
An Energy Consumption Prediction Model for Smart Factory Using Data Mining Algorithms
Sathishkumar V E, Myeongbae Lee, Jonghyun Lim, Yubin Kim, Changsun Shin, Jangwoo Park, Yongyun Cho KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 5, pp. 153-160,
May.
2020
https://doi.org/10.3745/KTSDE.2020.9.5.153
Keywords: energy consumption, Data Mining, Random Forest, linear regression, Gradient Boosting Machine, Support Vector Machine
https://doi.org/10.3745/KTSDE.2020.9.5.153
Keywords: energy consumption, Data Mining, Random Forest, linear regression, Gradient Boosting Machine, Support Vector Machine
Outside Temperature Prediction Based on Artificial Neural Network for Estimating the Heating Load in Greenhouse
Kim Sang Yeob, Park Kyoung Sub, Ryu Keun Ho KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 4, pp. 129-134,
Apr.
2018
10.3745/KTSDE.2018.7.4.129
Keywords: Artificial neural network, Facility Horticulture, Heating Load, Regression, Support Vector Machine
10.3745/KTSDE.2018.7.4.129
Keywords: Artificial neural network, Facility Horticulture, Heating Load, Regression, Support Vector Machine
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
