TKIPS

Object Tracking And Elimination Using Lod Edge Maps Generated from Modified Canny Edge Maps

Ji Hun Park Yung Dae Jang Dong Hun Lee Jong Kwan Lee Mi Ok Ham

Vol. 14, No. 3, pp. 171-182, Jun. 2007

10.3745/KIPSTB.2007.14.3.171

Computer Graphics & Surface Reconstruction from unorganized 3D Points by an improved Shrink-wrapping Algorithm

Eun Jin Park Bon Ki Koo Young Kyu Choi
Vol. 14, No. 3, pp. 133-140, Jun. 2007

10.3745/KIPSTA.2007.14.3.133

Detection of Abnormal CAN Messages Using Periodicity and Time Series Analysis

Se-Rin Kim Ji-Hyun Sung Beom-Heon Youn Harksu Cho
Vol. 13, No. 9, pp. 395-403, Sep. 2024

https://doi.org/10.3745/TKIPS.2024.13.9.395

Cox Model Improvement Using Residual Blocks in Neural Networks: A Study on the Predictive Model of Cervical Cancer Mortality

Nang Kyeong Lee Joo Young Kim Ji Soo Tak Hyeong Rok Lee Hyun Ji Jeon
Jee Myung Yang Seung Won Lee
Vol. 13, No. 6, pp. 260-268, Jun. 2024

https://doi.org/10.3745/TKIPS.2024.13.6.260

Cervical cancer

Survival Prediction Model

Cox Proportional Hazards

Machine Learning

Deep Neural Networks

ResNet

Mining Association Rules in Multidimensional Stream Data

Kim Dae-In Park Joon Kim Hong-Ki Hwang Bu-Hyun
Vol. 13, No. 6, pp. 765-774, Oct. 2006

http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.765

StreAm Data

Stream Data Mining

Association Rule

Significant Rare Itemsets

Maximal Frequent Itemsets

Load Shedding via Predicting the Frequency of Tuple for Efficient Analsis over Data Streams

Chang Joong-Hyuk
Vol. 13, No. 6, pp. 755-764, Oct. 2006

http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.755

data stream

load shedding

Significant Tuple

Prediction of Frequency

Design and Implementation of a System to Detect Intrusion and Generate Detection Rule against Scan-based Internet Worms

Ik Su Kim Hyuk Jo Myung Ho Kim
Vol. 12, No. 2, pp. 191-200, Apr. 2005

10.3745/KIPSTC.2005.12.2.191

A Study on Tools for Worm Virus & DDoS Detection

Myung Sun Lee Jae Kwang Lee
Vol. 11, No. 7, pp. 993-998, Dec. 2004

10.3745/KIPSTC.2004.11.7.993

Robust Watermarking for Digital Images in Geometric Distortions Using FP-ICA of Secant Method

Yong Hyun Cho
Vol. 11, No. 7, pp. 813-820, Dec. 2004

10.3745/KIPSTB.2004.11.7.813

Extracting Wisconsin Breast Cancer Prediction Fuzzy Rules Using Neural Network with Weighted Fuzzy Membership Functions

Joon Shik Lim
Vol. 11, No. 6, pp. 717-722, Oct. 2004

10.3745/KIPSTB.2004.11.6.717

Digital Library[ Search Result ]

Object Tracking And Elimination Using Lod Edge Maps Generated from Modified Canny Edge Maps

Computer Graphics & Surface Reconstruction from unorganized 3D Points by an improved Shrink-wrapping Algorithm

Detection of Abnormal CAN Messages Using Periodicity and Time Series Analysis

Cox Model Improvement Using Residual Blocks in Neural Networks: A Study on the Predictive Model of Cervical Cancer Mortality

Mining Association Rules in Multidimensional Stream Data

Load Shedding via Predicting the Frequency of Tuple for Efficient Analsis over Data Streams

Design and Implementation of a System to Detect Intrusion and Generate Detection Rule against Scan-based Internet Worms

A Study on Tools for Worm Virus & DDoS Detection

Robust Watermarking for Digital Images in Geometric Distortions Using FP-ICA of Secant Method

Extracting Wisconsin Breast Cancer Prediction Fuzzy Rules Using Neural Network with Weighted Fuzzy Membership Functions

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