Kil To Chong
Kil To Chong
Jeonbuk National University
Verified email at - Homepage
Cited by
Cited by
Induction machine condition monitoring using neural network modeling
H Su, KT Chong
IEEE Transactions on Industrial Electronics 54 (1), 241-249, 2007
Application of the recurrent multilayer perceptron in modeling complex process dynamics
AG Parlos, KT Chong, AF Atiya
IEEE Transactions on Neural Networks 5 (2), 255-266, 1994
A Lyapunov function approach to longitudinal control of vehicles in a platoon
TS No, KT Chong, DH Roh
VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings …, 2000
Vehicle detection and counting in high-resolution aerial images using convolutional regression neural network
H Tayara, KG Soo, KT Chong
IEEE Access 6, 2220-2230, 2017
Vibration signal analysis for electrical fault detection of induction machine using neural networks
H Su, KT Chong, RR Kumar
Neural Computing and Applications 20 (2), 183-194, 2011
Impedance control for a vehicle platoon system
SY Yi, KT Chong
Mechatronics 15 (5), 627-638, 2005
Object detection in very high-resolution aerial images using one-stage densely connected feature pyramid network
H Tayara, KT Chong
Sensors 18 (10), 3341, 2018
Nonlinear identification of process dynamics using neural networks
AG Parlos, AF Atiya, KT Chong, WK Tsai
Nuclear technology 97 (1), 79-96, 1992
iRNA-PseKNC (2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components
M Tahir, H Tayara, KT Chong
Journal of theoretical biology 465, 1-6, 2019
Control-relevant discretization of nonlinear systems with time-delay using Taylor-Lie series
N Kazantzis, KT Chong, JH Park, AG Parlos
Vehicle longitudinal brake control using variable parameter sliding control
H Liang, KT Chong, TS No, SY Yi
Control Engineering Practice 11 (4), 403-411, 2003
iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC
I Nazari, M Tahir, H Tayara, KT Chong
Chemometrics and Intelligent Laboratory Systems 193, 103811, 2019
iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule
M Tahir, H Tayara, KT Chong
Chemometrics and Intelligent Laboratory Systems 189, 96-101, 2019
Energy-regenerative braking control of electric vehicles using three-phase brushless direct-current motors
B Long, ST Lim, JH Ryu, KT Chong
Energies 7 (1), 99-114, 2014
Navigation system heading and position accuracy improvement through GPS and INS data fusion
JH Ryu, G Gankhuyag, KT Chong
Journal of Sensors 2016, 2016
DeePromoter: robust promoter predictor using deep learning
M Oubounyt, Z Louadi, H Tayara, KT Chong
Frontiers in genetics 10, 286, 2019
The explicit constrained min-max model predictive control of a discrete-time linear system with uncertain disturbances
Y Gao, KT Chong
IEEE Transactions on Automatic Control 57 (9), 2373-2378, 2012
Energy management and control of electric vehicles, using hybrid power source in regenerative braking operation
B Long, ST Lim, ZF Bai, JH Ryu, KT Chong
Energies 7 (7), 4300-4315, 2014
iPseU-CNN: identifying RNA pseudouridine sites using convolutional neural networks
M Tahir, H Tayara, KT Chong
Molecular Therapy-Nucleic Acids 16, 463-470, 2019
Nitrogen-doped graphene-encapsulated nickel cobalt nitride as a highly sensitive and selective electrode for glucose and hydrogen peroxide sensing applications
T Deepalakshmi, DT Tran, NH Kim, KT Chong, JH Lee
ACS applied materials & interfaces 10 (42), 35847-35858, 2018
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