Daehan Won

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Cervical Cancer

Knowledge Retrieval

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

Publications

R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, P. Siddharth, Daehan Won
HMARNET - A Hierarchical Multi-Attention Residual Network for Gleason scoring of prostate cancer. Int. J. Imaging Syst. Technol. 34 (1) (2024)
R. Karthik, Menaka R, S. Ompirakash, Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won
GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification. IEEE Access 12 (2024)
Mohammed-Khalil Ghali, Abdelrahman Farrag, Daehan Won, Yu Jin
Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI. CoRR (2024)
R. Karthik, Menaka R, P. Ponmathi, Daehan Won, Vinitha Joshy Premkumar, J. G. Aravindan, S. Harshavardhan, K. V. S. D. Aashish kumar, R. Akileshkumar
Signal Processing and AI-based Assessment of Rehabilitation Exercises for Diastasis Recti Abdominis. Comput. Syst. Sci. Eng. 47 (1) (2023)
Tareq Babaqi, Manar Jaradat, Ayse Erdem Yildirim, Saif H. Al-Nimer, Daehan Won
Eye Disease Classification Using Deep Learning Techniques. CoRR (2023)
Husam Dauod, Nieqing Cao, Debiao Li, Jaehee Kim, Sang Won Yoon, Daehan Won
An Order Scheduling Heuristic to Minimize the Total Collation Delays and the Makespan in High-Throughput Make-to-Order Manufacturing Systems. Oper. Res. Forum 4 (2) (2023)
Kyung Keun Yun, Sang Won Yoon, Daehan Won
Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection. Expert Syst. Appl. 213 (Part) (2023)
Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won
GenerativeMTD: A deep synthetic data generation framework for small datasets. Knowl. Based Syst. 280 (2023)
R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, Bala Murugan, Daehan Won
A deep feature fusion network using residual channel shuffled attention for cassava leaf disease detection. Neural Comput. Appl. 35 (30) (2023)
In Gyu Lee, Sang Won Yoon, Daehan Won
A Mixed Integer Linear Programming Support Vector Machine for Cost-Effective Group Feature Selection: Branch-Cut-and-Price Approach. Eur. J. Oper. Res. 299 (3) (2022)
Husam Dauod, Daehan Won
Real-time order picking planning framework for warehouses and distribution centres. Int. J. Prod. Res. 60 (18) (2022)
Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won
Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors. Knowl. Based Syst. 236 (2022)
R. Karthik, R. Menaka, Hariharan Manikandan, Daehan Won
Contour-enhanced attention CNN for CT-based COVID-19 segmentation. Pattern Recognit. 125 (2022)
Jayanth Sivakumar, Ji Hyun Yang, Matthew S. Kelly, Ahyeon Koh, Daehan Won
An automated lateral flow assay identification framework: Exploring the challenges of a wearable lateral flow assay in mobile application. Expert Syst. Appl. 210 (2022)
R. Karthik, Menaka R, Hariharan Manikandan, Daehan Won
CT-based severity assessment for COVID-19 using weakly supervised non-local CNN. Appl. Soft Comput. 121 (2022)
Menaka Radhakrishnan, Karthik Ramamurthy, Kaustav Kumar Choudhury, Daehan Won, Thanga Aarthy Manoharan
Performance Analysis of Deep Learning Models for Detection of Autism Spectrum Disorder from EEG Signals. Traitement du Signal 38 (3) (2021)
Kyung Keun Yun, Sang Won Yoon, Daehan Won
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process. Expert Syst. Appl. 186 (2021)
R. Karthik, R. Menaka, M. Hariharan, Daehan Won
Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN. Comput. Methods Programs Biomed. 200 (2021)
Haifeng Wang, Daehan Won, Sang Won Yoon
An adaptive neural architecture optimization model for retinal disorder diagnosis on 3D medical images. Appl. Soft Comput. 111 (2021)
Irandokht Parviziomran, Shun Cao, Haeyong Yang, Seungbae Park, Daehan Won
Optimization of Passive Chip Components Placement with Self-Alignment Effect for Advanced Surface Mounting Technology. CoRR (2020)
Irandokht Parviziomran, Shun Cao, Krishnaswami Srihari, Daehan Won
Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology. CoRR (2020)
Shun Cao, Irandokht Parviziomran, Haeyong Yang, Seungbae Park, Daehan Won
Prediction of Component Shifts in Pick and Place Process of Surface Mount Technology Using Support Vector Regression. CoRR (2020)
In Gyu Lee, Qianqian Zhang, Sang Won Yoon, Daehan Won
A mixed integer linear programming support vector machine for cost-effective feature selection. Knowl. Based Syst. 203 (2020)
Daehan Won, Hasan Manzour, Wanpracha Art Chaovalitwongse
Convex Optimization for Group Feature Selection in Networked Data. INFORMS J. Comput. 32 (1) (2020)
Ehsan Khan, Avishek Choudhury, Amy L. Friedman, Daehan Won
Decision Support System for Renal Transplantation. CoRR (2018)
Qianqian Zhang, Haifeng Wang, Hongya Lu, Daehan Won, Sang Won Yoon
Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition. ICHI (2018)
Hongya Lu, Haifeng Wang, Qianqian Zhang, Daehan Won, Sang Won Yoon
A Dual-Tree Complex Wavelet Transform Based Convolutional Neural Network for Human Thyroid Medical Image Segmentation. ICHI (2018)
Avishek Choudhury, Y. M. S. Al Wesabi, Daehan Won
Classification of Cervical Cancer Dataset. CoRR (2018)
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 Tunc, 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
Healthcare Intelligence: Turning Data into Knowledge. IEEE Intell. Syst. 29 (3) (2014)
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
An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples. BCB (2012)