Control-relevant discretization of nonlinear systems with time-delay using Taylor-Lie series. - Nikolaos Kazantzis; Kil To Chong 001; Jong Ho Park; Alexander G. Parlos (ACC, 2003)

A Simple Client-Based Hybrid Robust Hash Routing Web Caching System (2HRCS). - Jong Ho Park; Kil To Chong 001 (APWeb, 2004)

A Real-Time Multimedia Data Transmission Rate Control Using a Neural Network Prediction Algorithm. - Yong-Seok Kim; Kil To Chong 001 (APWeb, 2005)

An Implementation of the Client-Based Distributed Web Caching System. - Jong Ho Park; Kil To Chong 001 (APWeb, 2005)

Neural Network Hot Spot Prediction Algorithm for Shared Web Caching System. - Jong Ho Park; Sung Chil Jung; Changlei Zhang; Kil To Chong 001 (APWeb, 2005)

Neural Network Modeling of Transmission Rate Control Factor for Multimedia Transmission Using the Internet. - Sung Goo Yoo; Kil To Chong 001; Soo Yeong Yi (APWeb, 2005)

A Neural Network Method for Induction Machine Fault Detection with Vibration Signal. - Hua Su; Kil To Chong 001; Alexander G. Parlos (ICCSA (2), 2005)

Discretization of Delayed Multi-input Nonlinear System via Taylor Series and Scaling and Squaring Technique. - Yuanliang Zhang; Hyung Jo Choi; Kil To Chong 001 (ICCSA (2), 2005)

Development of Predictive TFRC with Neural Network. - Sung Goo Yoo; Kil To Chong 001; Hyongsuk Kim (PaCT, 2005)

Optimal Control for Electrical Drive System with Time-Delay and Uncertainties. - Yu Gao; Olga I. Kostyukova; Kil To Chong 001 (CSC, 2007)

Taylor Series Time-Discretization Method with First Order Hold for Input Delay Nonlinear Systems. - Zheng Zhang; Kil To Chong 001 (CSC, 2007)

Approximation Of State-Delay Problem. - Yuanliang Zhang; Chang Goo Lee; Kil To Chong 001 (CSC, 2007)

A Path Finding Via VRML and VISION Overlay for Autonomous Robot. - Kil To Chong 001; Eun-Ho Son; Jong Ho Park; Young-Chul Kim (ICANNGA (2), 2007)

Induction Machine Condition Monitoring Using Neural Network Modeling. - Hua Su; Kil To Chong 001 (IEEE Trans. Ind. Electron., 2007)

Packet Loss Rate Prediction Using the Sparse Basis Prediction Model. - Amir F. Atiya; Sung Goo Yoo; Kil To Chong 001; Hyongsuk Kim (IEEE Trans. Neural Networks, 2007)

Evaluation Of The Deformity Of Cleft Nose Based On Statistical And Neural Network. - Xi Wang; D. W. Kim; Kil To Chong 001 (BIOCOMP, 2008)

Tracking Control of Wheeled Mobile Robots Using a Receding Horizon Controller with Time-Delay. - Yu Gao; Chang Goo Lee; Kil To Chong 001 (CSC, 2008)

Approximation of MIMO Nonlinear Time Delay Problem. - Yuanliang Zhang; Sung Goo Yoo; Kil To Chong 001 (CSC, 2008)

A Neural Network Controller for Nonlinear Time Delay Systems. - Yuanliang Zhang; Kil To Chong 001 (IC-AI, 2008)

Round Trip Time Prediction Using the Symbolic Function Network Approach - George S. Eskander; Amir F. Atiya; Kil To Chong 001; Hyongsuk Kim; Sung Goo Yoo (CoRR, 2008)

GPS/DR Navigation Data Fusion Research Using Neural Network. - Jingkun Wang; Yuanliang Zhang; Kil To Chong 001 (ICNC (2), 2009)

An Experience Report on Systems Development and Design Using a Rapid, Non-Formal and By-Customer-Demand Approach. - Felipe P. Vista IV; Kil To Chong 001; Chang-Goo Lee (Software Engineering Research and Practice, 2009)

Comparative study of Matrix exponential and Taylor series discretization methods for nonlinear ODEs. - Zheng Zhang; Dong Un An; Hyongsuk Kim; Kil To Chong 001 (Simul. Model. Pract. Theory, 2009)

Controller design for nonlinear systems with time delay using model algorithm control (MAC). - Yuanliang Zhang; Jae Byung Park; Kil To Chong 001 (Simul. Model. Pract. Theory, 2009)

A new time-discretization for delay multiple-input nonlinear systems using the Taylor method and first order hold. - Yuanliang Zhang; Olga I. Kostyukova; Kil To Chong 001 (Discret. Appl. Math., 2011)

Min-Max Model Predictive Controller for Trajectory Tracking of a Wheeled Mobile Robot with Slipping Effects. - Yu Gao; Kil To Chong 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Vibration signal analysis for electrical fault detection of induction machine using neural networks. - Hua Su; Kil To Chong 001; R. Ravi Kumar (Neural Comput. Appl., 2011)

The Explicit Constrained Min-Max Model Predictive Control of a Discrete-Time Linear System With Uncertain Disturbances. - Yu Gao; Kil To Chong 001 (IEEE Trans. Autom. Control., 2012)

Comparison study of the Taylor series based discretization method for nonlinear input-delay systems. - Zhang Zheng; Seung Jun Baek; Dong Hyun Yu; Kil To Chong 001 (AuCC, 2013)

A Numerical Approach to Solve Point Kinetic Equations Using Taylor-Lie Series and the Adomian Decomposition Method. - Hag-Tae Kim; Ganduulga; Dong Pyo Hong; Kil To Chong 001 (MUE, 2013)

Study of Reinforcement Learning Based Dynamic Traffic Control Mechanism. - Zheng Zhang; Seung Jun Baek; Duck Jin Lee; Kil To Chong 001 (MUE, 2013)

Smart device interface for intelligent control of pipeline type UV Sterilizer. - Seongkeun Kwak; Ji-Hyoung Ryu; Kil To Chong 001; Jaebyung Park (RO-MAN, 2013)

Homomorphic Filtered Spectral Peaks Energy for Automatic Detection of Vowel Onset Point in Continuous Speech. - Xian Zang; Kil To Chong 001 (IEICE Trans. Inf. Syst., 2013)

Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal. - Xian Zang; Felipe P. Vista IV; Kil To Chong 001 (J. Zhejiang Univ. Sci. C, 2014)

Erratum to: Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal. - Xian Zang; Felipe P. Vista IV; Kil To Chong 001 (J. Zhejiang Univ. Sci. C, 2014)

Adaptive wave variables for bilateral teleoperation using neural networks. - Sung Goo Yoo; Kil To Chong 001 (Neural Comput. Appl., 2014)

Navigation System Heading and Position Accuracy Improvement through GPS and INS Data Fusion. - Ji-Hyoung Ryu; Ganduulga Gankhuyag; Kil To Chong 001 (J. Sensors, 2016)

A Real-Time Marker-Based Visual Sensor Based on a FPGA and a Soft Core Processor. - Hilal Tayara; Woon Chul Ham; Kil To Chong 001 (Sensors, 2016)

Deep Learning Models Based on Distributed Feature Representations for Alternative Splicing Prediction. - Mhaned Oubounyt; Zakaria Louadi; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2018)

Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network. - Hilal Tayara; Kim Gil Soo; Kil To Chong 001 (IEEE Access, 2018)

Design, Development, and Deployment of Real-Time Sensor Fusion (CnW + EKF) for a Linux-Based Embedded System Using Qt-Anywhere. - Felipe P. Vista IV; Kil To Chong 001 (J. Sensors, 2018)

An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria. - Raman Manivannan; Satyananda Panda; Kil To Chong 001; Jinde Cao (Neural Networks, 2018)

Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network. - Hilal Tayara; Kil To Chong 001 (Sensors, 2018)

4mCCNN: Identification of N4-Methylcytosine Sites in Prokaryotes Using Convolutional Neural Network. - Jhabindra Khanal; Iman Nazari; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2019)

An Overview of DC Component Generation, Detection and Suppression for Grid-Connected Converter Systems. - Bo Long; Muheng Zhang; Yong Liao; Lijun Huang; Kil To Chong 001 (IEEE Access, 2019)

Branch Point Selection in RNA Splicing Using Deep Learning. - Iman Nazari; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2019)

iIM-CNN: Intelligent Identifier of 6mA Sites on Different Species by Using Convolution Neural Network. - Abdul Wahab 004; Syed Danish Ali; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2019)

Enhanced L2-L∞ state estimation design for delayed neural networks including leakage term via quadratic-type generalized free-matrix-based integral inequality. - Jinde Cao; Raman Manivannan; Kil To Chong 001; Xiaoxiao Lv (J. Frankl. Inst., 2019)

Design and Real-Time Implementation of a 3-Stage CnW Heading System on an Ubuntu Linux-Embedded Board. - Felipe P. Vista IV; Kil To Chong 001 (J. Sensors, 2019)

Adaptive network fuzzy inference system based navigation controller for mobile robot. - Panati Subbash; Kil To Chong 001 (Frontiers Inf. Technol. Electron. Eng., 2019)

SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes. - Zeeshan Abbas; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2020)

cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach. - Shahid Akbar; Maqsood Hayat; Muhammad Tahir 007; Kil To Chong 001 (IEEE Access, 2020)

A CNN-Based RNA N6-Methyladenosine Site Predictor for Multiple Species Using Heterogeneous Features Representation. - Waleed Alam; Syed Danish Ali; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2020)

Identifying Enhancers and Their Strength by the Integration of Word Embedding and Convolution Neural Network. - Jhabindra Khanal; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2020)

ncRDeep: Non-coding RNA classification with convolutional neural network. - Tuvshinbayar Chantsalnyam; Dae Yeong Lim; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Chem., 2020)

Generalized dissipativity state estimation for genetic regulatory networks with interval time-delay signals and leakage delays. - Raman Manivannan; Jinde Cao; Kil To Chong 001 (Commun. Nonlinear Sci. Numer. Simul., 2020)

Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations. - Muhammad Tahir 007; Maqsood Hayat; Kil To Chong 001 (Neural Networks, 2020)

Identification of Human Promoter using Convolutional Neural Network. - Syed Danish Ali; Kil To Chong 001 (ICAI, 2021)

Prediction of RNA 5-Hydroxymethylcytosine Modifications Using Deep Learning. - Syed Danish Ali; Jee Hong Kim 001; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2021)

m6A-NeuralTool: Convolution Neural Tool for RNA N6-Methyladenosine Site Identification in Different Species. - Mobeen Ur Rehman; Kim Jee Hong 001; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2021)

Cr-Prom: A Convolutional Neural Network-Based Model for the Prediction of Rice Promoters. - Muhammad Shujaat; Seung Beop Lee; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2021)

RecSNO: Prediction of Protein S-Nitrosylation Sites Using a Recurrent Neural Network. - Arslan Siraj; Tuvshinbayar Chantsalnyam; Hilal Tayara; Kil To Chong 001 (IEEE Access, 2021)

Prediction of Piwi-Interacting RNAs and Their Functions via Convolutional Neural Network. - Muhammad Tahir 007; Maqsood Hayat; Shahzad Khan; Kil To Chong 001 (IEEE Access, 2021)

Recent omics-based computational methods for COVID-19 drug discovery and repurposing. - Hilal Tayara; Ibrahim Abdelbaky; Kil To Chong 001 (Briefings Bioinform., 2021)

PUResNet: prediction of protein-ligand binding sites using deep residual neural network. - Jeevan Kandel; Hilal Tayara; Kil To Chong 001 (J. Cheminformatics, 2021)

iRG-4mC: Neural Network Based Tool for Identification of DNA 4mC Sites in Rosaceae Genome. - Dae Yeong Lim; Mobeen Ur Rehman; Kil To Chong 001 (Symmetry, 2021)

Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep Learning. - Hilal Tayara; Kil To Chong 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

MPC-Controlled Virtual Synchronous Generator to Enhance Frequency and Voltage Dynamic Performance in Islanded Microgrids. - Bo Long; Yong Liao; Kil To Chong 001; José Rodríguez 001; Josep M. Guerrero (IEEE Trans. Smart Grid, 2021)

Enhancement of Frequency Regulation in AC Microgrid: A Fuzzy-MPC Controlled Virtual Synchronous Generator. - Bo Long; Yong Liao; Kil To Chong 001; José Rodríguez 001; Josep M. Guerrero (IEEE Trans. Smart Grid, 2021)

Extended Dissipativity Performance of High-Speed Train Including Actuator Faults and Probabilistic Time-Delays Under Resilient Reliable Control. - Jinde Cao; Raman Manivannan; Kil To Chong 001; Xiaoxiao Lv (IEEE Trans. Syst. Man Cybern. Syst., 2021)

TC-6mA-Pred: Prediction of DNA N6-Methyladenine Sites Using CNN with Transformer. - Zeeshan Abbas; Mobeen Ur Rehman; Kil To Chong 001 (BIBM, 2022)

Identification of Human RNA m5C sites using CapsuleNet Architecture. - Mobeen Ur Rehman; Zeeshan Abbas; Kil To Chong 001 (BIBM, 2022)

Identification Of Sars-cov-2 Viral Escape Sequences Using Escapetrans Network. - Prem Singh Bist; Hilal Tayara; Kil To Chong 001 (ICTC, 2022)

DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network. - Jhabindra Khanal; Hilal Tayara; Quan Zou 001; Kil To Chong 001 (Briefings Bioinform., 2022)

i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites. - Mobeen Ur Rehman; Hilal Tayara; Quan Zou 001; Kil To Chong 001 (Bioinform., 2022)

Interpretable machine learning identification of arginine methylation sites. - Syed Danish Ali; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2022)

ZayyuNet - A Unified Deep Learning Model for the Identification of Epigenetic Modifications Using Raw Genomic Sequences. - Zeeshan Abbas; Hilal Tayara; Kil To Chong 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Identification of Functional piRNAs Using a Convolutional Neural Network. - Syed Danish Ali; Waleed Alam; Hilal Tayara; Kil To Chong 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Sequential Model Predictive Fault-Tolerance Control for T-Type Three-Level Grid-Connected Converters With LCL Filters. - Bo Long; TianXu Cao; DaWei Sheng; José Rodríguez 001; Josep M. Guerrero; Kil To Chong 001 (IEEE Trans. Ind. Electron., 2022)

Robust Fuzzy-Fractional-Order Nonsingular Terminal Sliding-Mode Control of LCL-Type Grid-Connected Converters. - Bo Long; Peng Jie Lu; Kil To Chong 001; José Rodríguez 001; Josep M. Guerrero (IEEE Trans. Ind. Electron., 2022)

Gradient Descent Optimization Based Parameter Identification for FCS-MPC Control of LCL-Type Grid Connected Converter. - Bo Long; Zilin Zhu; Wandi Yang; Kil To Chong 001; José Rodríguez 001; Josep M. Guerrero (IEEE Trans. Ind. Electron., 2022)

Voltage Regulation Enhancement of DC-MG Based on Power Accumulator Battery Test System: MPC-Controlled Virtual Inertia Approach. - Bo Long; Wei Zeng; José Rodríguez 001; Josep M. Guerrero; Kil To Chong 001 (IEEE Trans. Smart Grid, 2022)

Stability Enhancement of Battery-Testing DC Microgrid: An ADRC-Based Virtual Inertia Control Approach. - Bo Long; Wei Zeng; José Rodríguez 001; Cristian Garcia 001; Josep M. Guerrero; Kil To Chong 001 (IEEE Trans. Smart Grid, 2022)

A Novel Approach Towards Fusion of Steganography and Cryptography for Enhanced Data Security using RGB Image. - Zeeshan Abbas; Kil To Chong 001 (eIT, 2023)

Machine Learning Based Image Forgery Detection Using Natural Scene Statistics. - Mobeen Ur Rehman; Imran Fareed Nizami; Ali Ahsan; Kil To Chong 001 (eIT, 2023)

iPro-TCN: Prediction of DNA Promoters Recognition and Their Strength Using Temporal Convolutional Network. - Ali Raza; Waleed Alam; Shahzad Khan; Muhammad Tahir 007; Kil To Chong 001 (IEEE Access, 2023)

RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames. - Mobeen Ur Rehman; Jihyoung Ryu; Imran Fareed Nizami; Kil To Chong 001 (Comput. Biol. Medicine, 2023)

DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes. - Mobeen Ur Rehman; Hilal Tayara; Kil To Chong 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Non-intrusive RF sensing for early diagnosis of spinal curvature syndrome disorders. - Ali Mustafa; Farman Ullah; Mobeen Ur Rehman; Muhammad Bilal Khan; Shujaat Ali Khan Tanoli; Muhammad Kaleem Ullah; Hamza Umar; Kil To Chong 001 (Comput. Biol. Medicine, 2023)

Sars-escape network for escape prediction of SARS-COV-2. - Prem Singh Bist; Hilal Tayara; Kil To Chong 001 (Briefings Bioinform., 2023)

Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives. - Thi Tuyet Van Tran; Agung Surya Wibowo; Hilal Tayara; Kil To Chong 001 (J. Chem. Inf. Model., 2023)

Enhancement of Power Decoupling for Virtual Synchronous Generator: A Virtual Inductor and Virtual Capacitor Approach. - Bo Long; Shihan Zhu; José Rodríguez 001; Josep M. Guerrero; Kil To Chong 001 (IEEE Trans. Ind. Electron., 2023)

iCpG-Pos: an accurate computational approach for identification of CpG sites using positional features on single-cell whole genome sequence data. - Sehi Park; Mobeen Ur Rehman; Farman Ullah; Hilal Tayara; Kil To Chong 001 (Bioinform., 2023)

An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactions. - Priyash Dhakal; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2023)

SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation. - Jihyoung Ryu; Mobeen Ur Rehman; Imran Fareed Nizami; Kil To Chong 001 (Comput. Biol. Medicine, 2023)

ORI-Explorer: a unified cell-specific tool for origin of replication sites prediction by feature fusion. - Zeeshan Abbas; Mobeen Ur Rehman; Hilal Tayara; Kil To Chong 001 (Bioinform., 2023)

Recent Studies of Artificial Intelligence on In Silico Drug Absorption. - Thi Tuyet Van Tran; Hilal Tayara; Kil To Chong 001 (J. Chem. Inf. Model., 2023)

CpGFuse: a holistic approach for accurate identification of methylation states of DNA CpG sites. - Sehi Park; Kil To Chong 001; Hilal Tayara (Briefings Bioinform., 2024)

An integrative machine learning model for the identification of tumor T-cell antigens. - Mir Tanveerul Hassan; Hilal Tayara; Kil To Chong 001 (Biosyst., 2024)

SB-Net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis. - Bilal Ahmad Mir; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Chem., 2024)

m5C-Seq: Machine learning-enhanced profiling of RNA 5-methylcytosine modifications. - Zeeshan Abbas; Mobeen Ur Rehman; Hilal Tayara; Seung Won Lee; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework. - Saima Gaffar; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

NaII-Pred: An ensemble-learning framework for the identification and interpretation of sodium ion inhibitors by fusing multiple feature representation. - Mir Tanveerul Hassan; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

A graph neural network approach for predicting drug susceptibility in the human microbiome. - Maryam; Mobeen Ur Rehman; Irfan Hussain; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

Stacking based ensemble learning framework for identification of nitrotyrosine sites. - Aiman Parvez; Syed Danish Ali; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

FvFold: A model to predict antibody Fv structure using protein language model with residual network and Rosetta minimization. - Pasang Sherpa; Kil To Chong 001; Hilal Tayara (Comput. Biol. Medicine, 2024)

AMPred-CNN: Ames mutagenicity prediction model based on convolutional neural networks. - Thi Tuyet Van Tran; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

GGAS2SN: Gated Graph and SmilesToSeq Network for Solubility Prediction. - Waqar Ahmad; Kil To Chong 001; Hilal Tayara (J. Chem. Inf. Model., 2024)

Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models. - Sadik Bhattarai; Hilal Tayara; Kil To Chong 001 (J. Chem. Inf. Model., 2024)

Advanced drone-based weed detection using feature-enriched deep learning approach. - Mobeen Ur Rehman; Hassan Eesaar; Zeeshan Abbas; Lakmal D. Seneviratne; Irfan Hussain; Kil To Chong 001 (Knowl. Based Syst., 2024)

IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy. - Saima Gaffar; Mir Tanveerul Hassan; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

DL-SPhos: Prediction of serine phosphorylation sites using transformer language model. - Palistha Shrestha; Jeevan Kandel; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

Unlocking the therapeutic potential of drug combinations through synergy prediction using graph transformer networks. - Waleed Alam; Hilal Tayara; Kil To Chong 001 (Comput. Biol. Medicine, 2024)

Generative AI in the Advancement of Viral Therapeutics for Predicting and Targeting Immune-Evasive SARS-CoV-2 Mutations. - Prem Singh Bist; Hilal Tayara; Kil To Chong 001 (IEEE J. Biomed. Health Informatics, 2024)

PUResNetV2.0: a deep learning model leveraging sparse representation for improved ligand binding site prediction. - Jeevan Kandel; Palistha Shrestha; Hilal Tayara; Kil To Chong 001 (J. Cheminformatics, 2024)

Ensemble insights: Unlocking the recombination losses in perovskite solar cells using stacked classifier. - Basir Akbar; Kil To Chong 001; Hilal Tayara (Eng. Appl. Artif. Intell., 2025)

NanoBinder: a machine learning assisted nanobody binding prediction tool using Rosetta energy scores. - Palistha Shrestha; Chandana S. Talwar; Jeevan Kandel; Kwang-Hyun Park; Kil To Chong 001; Eui-Jeon Woo; Hilal Tayara (J. Cheminformatics, 2025)