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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Enhanced prediction of hemolytic activity in antimicrobial peptides using deep learning-based sequence analysis. - Ibrahim Abdelbaky; Mohamed Elhakeem; Hilal Tayara; Elsayed M. Badr; Mustafa Abdul Salam (BMC Bioinform., 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)