Daehan Won

37 papers Journal 34Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generative AI-based optimization for high-mix warehouses: Integrating agentic LLMs and discrete event simulation.
Comput. Ind. Eng.
Hicham El Baz, Mohammed-Khalil Ghali, Linda Andrus, Daehan Won, Sang Won Yoon, Yong Wang
2025 J jnl
BEYONDWORDS is All You Need: Agentic Generative AI based Social Media Themes Extractor.
CoRR
Mohammed-Khalil Ghali, Abdelrahman Farrag, Sarah Lam, Daehan Won
2025 J jnl
Corrections to "GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification".
IEEE Access
R. Karthik, R. Menaka, S. Ompirakash, Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won
2025 J jnl
Enhancing knowledge retrieval with in-context learning and semantic search through generative AI.
Knowl. Based Syst.
Mohammed-Khalil Ghali, Abdelrahman Farrag, Daehan Won, Yu Jin
2025 J jnl
Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News.
CoRR
Mohammed-Khalil Ghali, Cecil Pang, Oscar Molina, Carlos Gershenson-Garcia, Daehan Won
2025 J jnl
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework.
J. Intell. Manuf.
Jun Kataoka, Abdelrahman Farrag, Yangyang Lai, Seungbae Park, Yu Jin, Daehan Won
2025 J jnl
Sim2Joint: Dynamic hybrid model for solder joint prediction across Sim2Real.
Robotics Comput. Integr. Manuf.
Nieqing Cao, Jaewoo Kim, Abdelrahman Farrag, Daehan Won, Sang Won Yoon
2024 J jnl
Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI.
CoRR
Mohammed-Khalil Ghali, Abdelrahman Farrag, Daehan Won, Yu Jin
2024 J jnl
GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification.
IEEE Access
R. Karthik, Menaka R, S. Ompirakash, Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won
2024 J jnl
HMARNET - A Hierarchical Multi-Attention Residual Network for Gleason scoring of prostate cancer.
Int. J. Imaging Syst. Technol.
R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, P. Siddharth, Daehan Won
2023 J jnl
A deep feature fusion network using residual channel shuffled attention for cassava leaf disease detection.
Neural Comput. Appl.
R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, Bala Murugan, Daehan Won
2023 J jnl
An Order Scheduling Heuristic to Minimize the Total Collation Delays and the Makespan in High-Throughput Make-to-Order Manufacturing Systems.
Oper. Res. Forum
Husam Dauod, Nieqing Cao, Debiao Li, Jaehee Kim, Sang Won Yoon, Daehan Won
2023 J jnl
Eye Disease Classification Using Deep Learning Techniques.
CoRR
Tareq Babaqi, Manar Jaradat, Ayse Erdem Yildirim, Saif H. Al-Nimer, Daehan Won
2023 J jnl
GenerativeMTD: A deep synthetic data generation framework for small datasets.
Knowl. Based Syst.
Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won
2023 J jnl
Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection.
Expert Syst. Appl.
Kyung Keun Yun, Sang Won Yoon, Daehan Won
2023 J jnl
Signal Processing and AI-based Assessment of Rehabilitation Exercises for Diastasis Recti Abdominis.
Comput. Syst. Sci. Eng.
R. Karthik, Menaka R, P. Ponmathi, Daehan Won, Vinitha Joshy Premkumar, J. G. Aravindan, S. Harshavardhan, K. V. S. D. Aashish kumar, R. Akileshkumar
2022 J jnl
A Mixed Integer Linear Programming Support Vector Machine for Cost-Effective Group Feature Selection: Branch-Cut-and-Price Approach.
Eur. J. Oper. Res.
In Gyu Lee, Sang Won Yoon, Daehan Won
2022 J jnl
An automated lateral flow assay identification framework: Exploring the challenges of a wearable lateral flow assay in mobile application.
Expert Syst. Appl.
Jayanth Sivakumar, Ji Hyun Yang, Matthew S. Kelly, Ahyeon Koh, Daehan Won
2022 J jnl
CT-based severity assessment for COVID-19 using weakly supervised non-local CNN.
Appl. Soft Comput.
R. Karthik, Menaka R, Hariharan Manikandan, Daehan Won
2022 J jnl
Contour-enhanced attention CNN for CT-based COVID-19 segmentation.
Pattern Recognit.
R. Karthik, R. Menaka, Hariharan Manikandan, Daehan Won
2022 J jnl
Real-time order picking planning framework for warehouses and distribution centres.
Int. J. Prod. Res.
Husam Dauod, Daehan Won
2022 J jnl
Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors.
Knowl. Based Syst.
Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won
2021 J jnl
An adaptive neural architecture optimization model for retinal disorder diagnosis on 3D medical images.
Appl. Soft Comput.
Haifeng Wang, Daehan Won, Sang Won Yoon
2021 J jnl
Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN.
Comput. Methods Programs Biomed.
R. Karthik, R. Menaka, Hariharan Manikandan, Daehan Won
2021 J jnl
Performance Analysis of Deep Learning Models for Detection of Autism Spectrum Disorder from EEG Signals.
Traitement du Signal
Menaka Radhakrishnan, Karthik Ramamurthy, Kaustav Kumar Choudhury, Daehan Won, Thanga Aarthy Manoharan
2021 J jnl
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process.
Expert Syst. Appl.
Kyung Keun Yun, Sang Won Yoon, Daehan Won
2020 J jnl
A mixed integer linear programming support vector machine for cost-effective feature selection.
Knowl. Based Syst.
In Gyu Lee, Qianqian Zhang, Sang Won Yoon, Daehan Won
2020 J jnl
Convex Optimization for Group Feature Selection in Networked Data.
INFORMS J. Comput.
Daehan Won, Hasan Manzour, Wanpracha Art Chaovalitwongse
2020 J jnl
Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology.
CoRR
Irandokht Parviziomran, Shun Cao, Krishnaswami Srihari, Daehan Won
2020 J jnl
Optimization of Passive Chip Components Placement with Self-Alignment Effect for Advanced Surface Mounting Technology.
CoRR
Irandokht Parviziomran, Shun Cao, Haeyong Yang, Seungbae Park, Daehan Won
2020 J jnl
Prediction of Component Shifts in Pick and Place Process of Surface Mount Technology Using Support Vector Regression.
CoRR
Shun Cao, Irandokht Parviziomran, Haeyong Yang, Seungbae Park, Daehan Won
2018 — conf
A Dual-Tree Complex Wavelet Transform Based Convolutional Neural Network for Human Thyroid Medical Image Segmentation.
ICHI
Hongya Lu, Haifeng Wang, Qianqian Zhang, Daehan Won, Sang Won Yoon
2018 J jnl
Classification of Cervical Cancer Dataset.
CoRR
Avishek Choudhury, Y. M. S. Al Wesabi, Daehan Won
2018 J jnl
Decision Support System for Renal Transplantation.
CoRR
Ehsan Khan, Avishek Choudhury, Amy L. Friedman, Daehan Won
2018 — conf
Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition.
ICHI
Qianqian Zhang, Haifeng Wang, Hongya Lu, Daehan Won, Sang Won Yoon
2014 J jnl
Healthcare Intelligence: Turning Data into Knowledge.
IEEE Intell. Syst.
Hui Yang, O. Erhun Kundakcioglu, Jing Li, Teresa Wu, Joseph Ross Mitchell, Amy K. Hara, William Pavlicek, Leland S. Hu, Alvin C. Silva, Christine M. Zwart, Sait Tunç, Oguzhan Alagöz, Elizabeth S. Burnside, W. Art Chaovalitwongse, Georgiy Presnyakov, Yulian Cao, Sirirat Sujitnapitsatham, Daehan Won, Tara M. Madhyastha, Kurt E. Weaver, Paul R. Borghesani, Thomas J. Grabowski, Lianjie Shu, Man Ho Ling, Shui Yee Wong, Kwok-Leung Tsui
2012 — conf
An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples.
BCB
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