An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples. - Daehan Won; Chun-An Chou; Wanpracha Art Chaovalitwongse; Tanya Y. Berger-Wolf; Bhaskar DasGupta; Ashfaq A. Khokhar; Marco Maggioni; Saad I. Sheikh; Mary V. Ashley; Jason Palagi (BCB, 2012)

Healthcare Intelligence: Turning Data into Knowledge. - Hui Yang 003; O. Erhun Kundakcioglu; Jing Li 016; Teresa Wu; Joseph Ross Mitchell; Amy K. Hara; William Pavlicek; Leland S. Hu; Alvin C. Silva; Christine M. Zwart; Sait Tunç; Oguzhan Alagöz; et al. (IEEE Intell. Syst., 2014)

A Dual-Tree Complex Wavelet Transform Based Convolutional Neural Network for Human Thyroid Medical Image Segmentation. - Hongya Lu; Haifeng Wang; Qianqian Zhang; Daehan Won; Sang Won Yoon (ICHI, 2018)

Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition. - Qianqian Zhang; Haifeng Wang; Hongya Lu; Daehan Won; Sang Won Yoon (ICHI, 2018)

Decision Support System for Renal Transplantation. - Ehsan Khan; Avishek Choudhury; Amy L. Friedman; Daehan Won (CoRR, 2018)

Classification of Cervical Cancer Dataset. - Avishek Choudhury; Y. M. S. Al Wesabi; Daehan Won (CoRR, 2018)

Optimization of Passive Chip Components Placement with Self-Alignment Effect for Advanced Surface Mounting Technology. - Irandokht Parviziomran; Shun Cao; Haeyong Yang; Seungbae Park; Daehan Won (CoRR, 2020)

Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology. - Irandokht Parviziomran; Shun Cao; Krishnaswami Srihari; Daehan Won (CoRR, 2020)

Prediction of Component Shifts in Pick and Place Process of Surface Mount Technology Using Support Vector Regression. - Shun Cao; Irandokht Parviziomran; Haeyong Yang; Seungbae Park; Daehan Won (CoRR, 2020)

Convex Optimization for Group Feature Selection in Networked Data. - Daehan Won; Hasan Manzour; Wanpracha Art Chaovalitwongse (INFORMS J. Comput., 2020)

A mixed integer linear programming support vector machine for cost-effective feature selection. - In Gyu Lee; Qianqian Zhang; Sang Won Yoon; Daehan Won (Knowl. Based Syst., 2020)

An adaptive neural architecture optimization model for retinal disorder diagnosis on 3D medical images. - Haifeng Wang; Daehan Won; Sang Won Yoon (Appl. Soft Comput., 2021)

Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN. - R. Karthik 001; R. Menaka 001; Hariharan Manikandan; Daehan Won (Comput. Methods Programs Biomed., 2021)

Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process. - Kyung Keun Yun; Sang Won Yoon; Daehan Won (Expert Syst. Appl., 2021)

Performance Analysis of Deep Learning Models for Detection of Autism Spectrum Disorder from EEG Signals. - Menaka Radhakrishnan; Karthik Ramamurthy 001; Kaustav Kumar Choudhury; Daehan Won; Thanga Aarthy Manoharan (Traitement du Signal, 2021)

CT-based severity assessment for COVID-19 using weakly supervised non-local CNN. - R. Karthik 001; Menaka R 001; Hariharan Manikandan; Daehan Won (Appl. Soft Comput., 2022)

A Mixed Integer Linear Programming Support Vector Machine for Cost-Effective Group Feature Selection: Branch-Cut-and-Price Approach. - In Gyu Lee; Sang Won Yoon; Daehan Won (Eur. J. Oper. Res., 2022)

An automated lateral flow assay identification framework: Exploring the challenges of a wearable lateral flow assay in mobile application. - Jayanth Sivakumar; Ji Hyun Yang; Matthew S. Kelly; Ahyeon Koh; Daehan Won (Expert Syst. Appl., 2022)

Real-time order picking planning framework for warehouses and distribution centres. - Husam Dauod; Daehan Won (Int. J. Prod. Res., 2022)

Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors. - Jayanth Sivakumar; Karthik Ramamurthy 001; Menaka Radhakrishnan; Daehan Won (Knowl. Based Syst., 2022)

Contour-enhanced attention CNN for CT-based COVID-19 segmentation. - R. Karthik 001; R. Menaka 001; Hariharan Manikandan; Daehan Won (Pattern Recognit., 2022)

Eye Disease Classification Using Deep Learning Techniques. - Tareq Babaqi; Manar Jaradat; Ayse Erdem Yildirim; Saif H. Al-Nimer; Daehan Won (CoRR, 2023)

Signal Processing and AI-based Assessment of Rehabilitation Exercises for Diastasis Recti Abdominis. - R. Karthik 001; Menaka R 001; P. Ponmathi; Daehan Won; Vinitha Joshy Premkumar; J. G. Aravindan; S. Harshavardhan; K. V. S. D. Aashish kumar; R. Akileshkumar (Comput. Syst. Sci. Eng., 2023)

Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection. - Kyung Keun Yun; Sang Won Yoon; Daehan Won (Expert Syst. Appl., 2023)

An Order Scheduling Heuristic to Minimize the Total Collation Delays and the Makespan in High-Throughput Make-to-Order Manufacturing Systems. - Husam Dauod; Nieqing Cao; Debiao Li; Jaehee Kim; Sang Won Yoon; Daehan Won (Oper. Res. Forum, 2023)

A deep feature fusion network using residual channel shuffled attention for cassava leaf disease detection. - R. Karthik 001; R. Menaka 001; M. V. Siddharth; Sameeha Hussain; Bala Murugan; Daehan Won (Neural Comput. Appl., 2023)

GenerativeMTD: A deep synthetic data generation framework for small datasets. - Jayanth Sivakumar; Karthik Ramamurthy 001; Menaka Radhakrishnan; Daehan Won (Knowl. Based Syst., 2023)

GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification. - R. Karthik 001; Menaka R 001; S. Ompirakash; Bala Murugan; M. Meenakashi; Sindhia Lingaswamy; Daehan Won (IEEE Access, 2024)

HMARNET - A Hierarchical Multi-Attention Residual Network for Gleason scoring of prostate cancer. - R. Karthik 001; R. Menaka 001; M. V. Siddharth; Sameeha Hussain; P. Siddharth; Daehan Won (Int. J. Imaging Syst. Technol., 2024)

Corrections to "GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification". - R. Karthik 001; R. Menaka 001; S. Ompirakash; Bala Murugan; M. Meenakashi; Sindhia Lingaswamy; Daehan Won (IEEE Access, 2025)

Enhancing knowledge retrieval with in-context learning and semantic search through generative AI. - Mohammed-Khalil Ghali; Abdelrahman Farrag; Daehan Won; Yu Jin (Knowl. Based Syst., 2025)

Sim2Joint: Dynamic hybrid model for solder joint prediction across Sim2Real. - Nieqing Cao; Jaewoo Kim; Abdelrahman Farrag; Daehan Won; Sang Won Yoon (Robotics Comput. Integr. Manuf., 2025)

BEYONDWORDS is All You Need: Agentic Generative AI based Social Media Themes Extractor. - Mohammed-Khalil Ghali; Abdelrahman Farrag; Sarah Lam; Daehan Won (CoRR, 2025)