| 2007 |
|---|
| 10 | EE | Yong-Kab Kim,
Woo-Soon Kim,
Yue Soon Choi,
Jong Goo Park:
Implementation of Brillouin-Active Fiber for Low Threshold Optical Logic and Memory Based Neural Networks in Smart Structures.
ISNN (3) 2007: 1114-1119 |
| 9 | EE | Kwan-Woong Kim,
Mike Myung-Ok Lee,
ChangKug Kim,
Yong-Kab Kim:
A Robust Route Maintenance Scheme for Wireless Ad-Hoc Networks.
International Conference on Computational Science (4) 2007: 328-335 |
| 2006 |
|---|
| 8 | EE | Kwan-Woong Kim,
Jeong-Soo Lee,
Kyoung-Jun Hwang,
Yong-Kab Kim,
Mike Myung-Ok Lee,
Kyung-Taek Chung,
Byoung-Sil Chon:
LRCA: Enhanced Energy-Aware Routing Protocol in MANETs.
Australian Conference on Artificial Intelligence 2006: 897-901 |
| 7 | EE | Yong-Kab Kim,
Do Geun Huh,
Kwan-Woong Kim,
ChangKug Kim:
Optical Sensing, Logic and Computations in Brillouin-Active Fiber Based Neural Network in Smart Structures.
ICIC (1) 2006: 422-427 |
| 6 | EE | Yong-Kab Kim,
Soonja Lim,
Dong-Hyun Kim:
Effect of Steady and Relaxation Oscillation Using Controlled Chaotic Instabilities in Brillouin Fibers Based Neural Network.
ICNC (2) 2006: 880-883 |
| 5 | EE | Yong-Kab Kim,
Soonja Lim,
ChangKug Kim:
Effect of Steady and Relaxation Oscillations in Brillouin-Active Fiber Structural Sensor Based Neural Network in Smart Structures.
ISNN (2) 2006: 1374-1379 |
| 2005 |
|---|
| 4 | EE | Sung-Kwun Oh,
Hyun-Ki Kim,
Seong-Whan Jang,
Yong-Kab Kim:
Evolutionally Optimized Fuzzy Neural Networks Based on Fuzzy Relation Rules and Evolutionary Data Granulation.
Australian Conference on Artificial Intelligence 2005: 1075-1078 |
| 3 | EE | Sung-Kwun Oh,
Seok-Beom Roh,
Daehee Park,
Yong-Kab Kim:
FSPN-Based Genetically Optimized Fuzzy Polynomial Neural Networks.
ICCSA (4) 2005: 858-866 |
| 2 | EE | Yong-Kab Kim,
Jinsu Kim,
Soonja Lim,
Dong-Hyun Kim:
Neuron Operation Using Controlled Chaotic Instabilities in Brillouin-Active Fiber Based Neural Network in Smart Structures.
ICNC (3) 2005: 1044-1050 |
| 1 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Hyun-Ki Kim,
Yong-Kab Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks.
IWANN 2005: 407-415 |
