Kil To Chong
Orcid: 0000-0002-1952-0001Affiliations:
- Jeonbuk National University, Department of Electronics and Information Engineering, Korea
- Chonbuk National University, Advanced Electronics and Information Research Center, Jeonju, Korea
- Texas A&M University, TX, USA (PhD 1995)
According to our database1,
Kil To Chong
authored at least 113 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
PUResNetV2.0: a deep learning model leveraging sparse representation for improved ligand binding site prediction.
J. Cheminformatics, December, 2024
Generative AI in the Advancement of Viral Therapeutics for Predicting and Targeting Immune-Evasive SARS-CoV-2 Mutations.
IEEE J. Biomed. Health Informatics, November, 2024
Unlocking the therapeutic potential of drug combinations through synergy prediction using graph transformer networks.
Comput. Biol. Medicine, March, 2024
DL-SPhos: Prediction of serine phosphorylation sites using transformer language model.
Comput. Biol. Medicine, February, 2024
IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy.
Comput. Biol. Medicine, January, 2024
Knowl. Based Syst., 2024
Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models.
J. Chem. Inf. Model., 2024
J. Chem. Inf. Model., 2024
AMPred-CNN: Ames mutagenicity prediction model based on convolutional neural networks.
Comput. Biol. Medicine, 2024
FvFold: A model to predict antibody Fv structure using protein language model with residual network and Rosetta minimization.
Comput. Biol. Medicine, 2024
Stacking based ensemble learning framework for identification of nitrotyrosine sites.
Comput. Biol. Medicine, 2024
A graph neural network approach for predicting drug susceptibility in the human microbiome.
Comput. Biol. Medicine, 2024
NaII-Pred: An ensemble-learning framework for the identification and interpretation of sodium ion inhibitors by fusing multiple feature representation.
Comput. Biol. Medicine, 2024
Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework.
Comput. Biol. Medicine, 2024
Comput. Biol. Medicine, 2024
SB-Net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis.
Comput. Biol. Chem., 2024
An integrative machine learning model for the identification of tumor T-cell antigens.
Biosyst., 2024
2023
J. Chem. Inf. Model., October, 2023
ORI-Explorer: a unified cell-specific tool for origin of replication sites prediction by feature fusion.
Bioinform., October, 2023
SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation.
Comput. Biol. Medicine, September, 2023
An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactions.
Comput. Biol. Medicine, September, 2023
iCpG-Pos: an accurate computational approach for identification of CpG sites using positional features on single-cell whole genome sequence data.
Bioinform., August, 2023
Enhancement of Power Decoupling for Virtual Synchronous Generator: A Virtual Inductor and Virtual Capacitor Approach.
IEEE Trans. Ind. Electron., July, 2023
Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives.
J. Chem. Inf. Model., May, 2023
Briefings Bioinform., May, 2023
Comput. Biol. Medicine, March, 2023
DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames.
Comput. Biol. Medicine, 2023
iPro-TCN: Prediction of DNA Promoters Recognition and Their Strength Using Temporal Convolutional Network.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Electro Information Technology, 2023
A Novel Approach Towards Fusion of Steganography and Cryptography for Enhanced Data Security using RGB Image.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023
2022
Stability Enhancement of Battery-Testing DC Microgrid: An ADRC-Based Virtual Inertia Control Approach.
IEEE Trans. Smart Grid, 2022
Voltage Regulation Enhancement of DC-MG Based on Power Accumulator Battery Test System: MPC-Controlled Virtual Inertia Approach.
IEEE Trans. Smart Grid, 2022
Gradient Descent Optimization Based Parameter Identification for FCS-MPC Control of LCL-Type Grid Connected Converter.
IEEE Trans. Ind. Electron., 2022
Robust Fuzzy-Fractional-Order Nonsingular Terminal Sliding-Mode Control of LCL-Type Grid-Connected Converters.
IEEE Trans. Ind. Electron., 2022
Sequential Model Predictive Fault-Tolerance Control for T-Type Three-Level Grid-Connected Converters With LCL Filters.
IEEE Trans. Ind. Electron., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
ZayyuNet - A Unified Deep Learning Model for the Identification of Epigenetic Modifications Using Raw Genomic Sequences.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Comput. Biol. Medicine, 2022
Bioinform., 2022
DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network.
Briefings Bioinform., 2022
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Extended Dissipativity Performance of High-Speed Train Including Actuator Faults and Probabilistic Time-Delays Under Resilient Reliable Control.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Enhancement of Frequency Regulation in AC Microgrid: A Fuzzy-MPC Controlled Virtual Synchronous Generator.
IEEE Trans. Smart Grid, 2021
MPC-Controlled Virtual Synchronous Generator to Enhance Frequency and Voltage Dynamic Performance in Islanded Microgrids.
IEEE Trans. Smart Grid, 2021
Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
iRG-4mC: Neural Network Based Tool for Identification of DNA 4mC Sites in Rosaceae Genome.
Symmetry, 2021
PUResNet: prediction of protein-ligand binding sites using deep residual neural network.
J. Cheminformatics, 2021
Recent omics-based computational methods for COVID-19 drug discovery and repurposing.
Briefings Bioinform., 2021
Prediction of Piwi-Interacting RNAs and Their Functions via Convolutional Neural Network.
IEEE Access, 2021
RecSNO: Prediction of Protein S-Nitrosylation Sites Using a Recurrent Neural Network.
IEEE Access, 2021
Cr-Prom: A Convolutional Neural Network-Based Model for the Prediction of Rice Promoters.
IEEE Access, 2021
m6A-NeuralTool: Convolution Neural Tool for RNA N6-Methyladenosine Site Identification in Different Species.
IEEE Access, 2021
IEEE Access, 2021
2020
Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations.
Neural Networks, 2020
Generalized dissipativity state estimation for genetic regulatory networks with interval time-delay signals and leakage delays.
Commun. Nonlinear Sci. Numer. Simul., 2020
Comput. Biol. Chem., 2020
Identifying Enhancers and Their Strength by the Integration of Word Embedding and Convolution Neural Network.
IEEE Access, 2020
A CNN-Based RNA N6-Methyladenosine Site Predictor for Multiple Species Using Heterogeneous Features Representation.
IEEE Access, 2020
cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach.
IEEE Access, 2020
SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes.
IEEE Access, 2020
2019
Adaptive network fuzzy inference system based navigation controller for mobile robot.
Frontiers Inf. Technol. Electron. Eng., 2019
Design and Real-Time Implementation of a 3-Stage CnW Heading System on an Ubuntu Linux-Embedded Board.
J. Sensors, 2019
Enhanced L2-L∞ state estimation design for delayed neural networks including leakage term via quadratic-type generalized free-matrix-based integral inequality.
J. Frankl. Inst., 2019
iIM-CNN: Intelligent Identifier of 6mA Sites on Different Species by Using Convolution Neural Network.
IEEE Access, 2019
An Overview of DC Component Generation, Detection and Suppression for Grid-Connected Converter Systems.
IEEE Access, 2019
4mCCNN: Identification of N4-Methylcytosine Sites in Prokaryotes Using Convolutional Neural Network.
IEEE Access, 2019
2018
Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network.
Sensors, 2018
An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria.
Neural Networks, 2018
Design, Development, and Deployment of Real-Time Sensor Fusion (CnW + EKF) for a Linux-Based Embedded System Using Qt-Anywhere.
J. Sensors, 2018
Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network.
IEEE Access, 2018
Deep Learning Models Based on Distributed Feature Representations for Alternative Splicing Prediction.
IEEE Access, 2018
2016
Sensors, 2016
Navigation System Heading and Position Accuracy Improvement through GPS and INS Data Fusion.
J. Sensors, 2016
2014
Neural Comput. Appl., 2014
Erratum to: Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal.
J. Zhejiang Univ. Sci. C, 2014
Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal.
J. Zhejiang Univ. Sci. C, 2014
2013
Homomorphic Filtered Spectral Peaks Energy for Automatic Detection of Vowel Onset Point in Continuous Speech.
IEICE Trans. Inf. Syst., 2013
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013
Proceedings of the Multimedia and Ubiquitous Engineering, 2013
A Numerical Approach to Solve Point Kinetic Equations Using Taylor-Lie Series and the Adomian Decomposition Method.
Proceedings of the Multimedia and Ubiquitous Engineering, 2013
Comparison study of the Taylor series based discretization method for nonlinear input-delay systems.
Proceedings of the 2013 Australian Control Conference, Fremantle, WA, 2013
2012
The Explicit Constrained Min-Max Model Predictive Control of a Discrete-Time Linear System With Uncertain Disturbances.
IEEE Trans. Autom. Control., 2012
2011
Vibration signal analysis for electrical fault detection of induction machine using neural networks.
Neural Comput. Appl., 2011
Min-Max Model Predictive Controller for Trajectory Tracking of a Wheeled Mobile Robot with Slipping Effects.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011
A new time-discretization for delay multiple-input nonlinear systems using the Taylor method and first order hold.
Discret. Appl. Math., 2011
2009
Controller design for nonlinear systems with time delay using model algorithm control (MAC).
Simul. Model. Pract. Theory, 2009
Comparative study of Matrix exponential and Taylor series discretization methods for nonlinear ODEs.
Simul. Model. Pract. Theory, 2009
An Experience Report on Systems Development and Design Using a Rapid, Non-Formal and By-Customer-Demand Approach.
Proceedings of the 2009 International Conference on Software Engineering Research & Practice, 2009
Proceedings of the Fifth International Conference on Natural Computation, 2009
2008
A Neural Network Controller for Nonlinear Time Delay Systems.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008
Approximation of MIMO Nonlinear Time Delay Problem.
Proceedings of the 2008 International Conference on Scientific Computing, 2008
Tracking Control of Wheeled Mobile Robots Using a Receding Horizon Controller with Time-Delay.
Proceedings of the 2008 International Conference on Scientific Computing, 2008
Evaluation Of The Deformity Of Cleft Nose Based On Statistical And Neural Network.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008
2007
IEEE Trans. Neural Networks, 2007
IEEE Trans. Ind. Electron., 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
Approximation Of State-Delay Problem.
Proceedings of the 2007 International Conference on Scientific Computing, 2007
Taylor Series Time-Discretization Method with First Order Hold for Input Delay Nonlinear Systems.
Proceedings of the 2007 International Conference on Scientific Computing, 2007
Optimal Control for Electrical Drive System with Time-Delay and Uncertainties.
Proceedings of the 2007 International Conference on Scientific Computing, 2007
2005
Proceedings of the Parallel Computing Technologies, 2005
Discretization of Delayed Multi-input Nonlinear System via Taylor Series and Scaling and Squaring Technique.
Proceedings of the Computational Science and Its Applications, 2005
Proceedings of the Computational Science and Its Applications, 2005
Neural Network Modeling of Transmission Rate Control Factor for Multimedia Transmission Using the Internet.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005
A Real-Time Multimedia Data Transmission Rate Control Using a Neural Network Prediction Algorithm.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005
2004
Proceedings of the Advanced Web Technologies and Applications, 2004
2003
Control-relevant discretization of nonlinear systems with time-delay using Taylor-Lie series.
Proceedings of the American Control Conference, 2003