Daehan Won

According to our database, Daehan Won authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HMARNET - A Hierarchical Multi-Attention Residual Network for Gleason scoring of prostate cancer.

R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, P. Siddharth, Daehan Won

Int. J. Imaging Syst. Technol., January, 2024

GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification.

R. Karthik, Menaka R, S. Ompirakash, Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won

IEEE Access, 2024

2023

GenerativeMTD: A deep synthetic data generation framework for small datasets.

Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won

Knowl. Based Syst., November, 2023

A deep feature fusion network using residual channel shuffled attention for cassava leaf disease detection.

R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, Bala Murugan, Daehan Won

Neural Comput. Appl., October, 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, June, 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

Signal Processing and AI-based Assessment of Rehabilitation Exercises for Diastasis Recti Abdominis.

R. Karthik, Menaka R, 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

Eye Disease Classification Using Deep Learning Techniques.

Tareq Babaqi, Manar Jaradat, Ayse Erdem Yildirim, Saif H. Al-Nimer, Daehan Won

CoRR, 2023

2022

Contour-enhanced attention CNN for CT-based COVID-19 segmentation.

R. Karthik, R. Menaka, Hariharan Manikandan, Daehan Won

Pattern Recognit., 2022

Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors.

Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won

Knowl. Based Syst., 2022

Real-time order picking planning framework for warehouses and distribution centres.

Husam Dauod, Daehan Won

Int. J. Prod. 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

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

CT-based severity assessment for COVID-19 using weakly supervised non-local CNN.

R. Karthik, Menaka R, Hariharan Manikandan, Daehan Won

Appl. Soft Comput., 2022

2021

Performance Analysis of Deep Learning Models for Detection of Autism Spectrum Disorder from EEG Signals.

Menaka Radhakrishnan, Karthik Ramamurthy, Kaustav Kumar Choudhury, Daehan Won, Thanga Aarthy Manoharan

Traitement du Signal, 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

Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN.

R. Karthik, R. Menaka, Hariharan Manikandan, Daehan Won

Comput. Methods Programs Biomed., 2021

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

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

Convex Optimization for Group Feature Selection in Networked Data.

Daehan Won, Hasan Manzour, Wanpracha Art Chaovalitwongse

INFORMS J. Comput., 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

Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology.

Irandokht Parviziomran, Shun Cao, Krishnaswami Srihari, Daehan Won

CoRR, 2020

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

2018

Classification of Cervical Cancer Dataset.

Avishek Choudhury, Y. M. S. Al Wesabi, Daehan Won

CoRR, 2018

Decision Support System for Renal Transplantation.

Ehsan Khan, Avishek Choudhury, Amy L. Friedman, Daehan Won

CoRR, 2018

Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition.

Qianqian Zhang, Haifeng Wang, Hongya Lu, Daehan Won, Sang Won Yoon

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

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

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2014

Healthcare Intelligence: Turning Data into Knowledge.

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

IEEE Intell. Syst., 2014

2012

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

Proceedings of the ACM International Conference on Bioinformatics, 2012