Kil To Chong

Orcid: 0000-0002-1952-0001

Affiliations:
  • 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 94 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

2023
Recent Studies of Artificial Intelligence on <i>In Silico</i> Drug Absorption.
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

Sars-escape network for escape prediction of SARS-COV-2.
Briefings Bioinform., May, 2023

Non-intrusive RF sensing for early diagnosis of spinal curvature syndrome disorders.
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

Machine Learning Based Image Forgery Detection Using Natural Scene Statistics.
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

Identification of Functional piRNAs Using a Convolutional Neural Network.
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

Interpretable machine learning identification of arginine methylation sites.
Comput. Biol. Medicine, 2022

i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites.
Bioinform., 2022

DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network.
Briefings Bioinform., 2022

Identification Of Sars-cov-2 Viral Escape Sequences Using Escapetrans Network.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Identification of Human RNA m5C sites using CapsuleNet Architecture.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

TC-6mA-Pred: Prediction of DNA N6-Methyladenine Sites Using CNN with Transformer.
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

Prediction of RNA 5-Hydroxymethylcytosine Modifications Using Deep Learning.
IEEE Access, 2021

2020
Generalized dissipativity state estimation for genetic regulatory networks with interval time-delay signals and leakage delays.
Commun. Nonlinear Sci. Numer. Simul., 2020

ncRDeep: Non-coding RNA classification with convolutional neural network.
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

Branch Point Selection in RNA Splicing Using Deep Learning.
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
A Real-Time Marker-Based Visual Sensor Based on a FPGA and a Soft Core Processor.
Sensors, 2016

2014
Adaptive wave variables for bilateral teleoperation using neural networks.
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

Smart device interface for intelligent control of pipeline type UV Sterilizer.
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013

Study of Reinforcement Learning Based Dynamic Traffic Control Mechanism.
Proceedings of the Multimedia and Ubiquitous Engineering, 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

GPS/DR Navigation Data Fusion Research Using Neural Network.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
Round Trip Time Prediction Using the Symbolic Function Network Approach
CoRR, 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
Packet Loss Rate Prediction Using the Sparse Basis Prediction Model.
IEEE Trans. Neural Networks, 2007

Induction Machine Condition Monitoring Using Neural Network Modeling.
IEEE Trans. Ind. Electron., 2007

A Path Finding Via VRML and VISION Overlay for Autonomous Robot.
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
Development of Predictive TFRC with Neural Network.
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

A Neural Network Method for Induction Machine Fault Detection with Vibration Signal.
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

Neural Network Hot Spot Prediction Algorithm for Shared Web Caching System.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

An Implementation of the Client-Based Distributed Web Caching System.
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
A Simple Client-Based Hybrid Robust Hash Routing Web Caching System (2HRCS).
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


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