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Daehan Won
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2020 – today
- 2024
- [j20]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: 19612-19624 (2024) - [j19]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) - [i7]Mohammed-Khalil Ghali, Abdelrahman Farrag, Daehan Won, Yu Jin:
Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI. CoRR abs/2406.09621 (2024) - 2023
- [j18]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): 333-348 (2023) - [j17]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): 118803 (2023) - [j16]Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won:
GenerativeMTD: A deep synthetic data generation framework for small datasets. Knowl. Based Syst. 280: 110956 (2023) - [j15]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): 22755-22770 (2023) - [j14]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) - [i6]Tareq Babaqi, Manar Jaradat, Ayse Erdem Yildirim, Saif H. Al-Nimer, Daehan Won:
Eye Disease Classification Using Deep Learning Techniques. CoRR abs/2307.10501 (2023) - 2022
- [j13]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: 108765 (2022) - [j12]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): 1055-1068 (2022) - [j11]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: 118471 (2022) - [j10]Husam Dauod, Daehan Won:
Real-time order picking planning framework for warehouses and distribution centres. Int. J. Prod. Res. 60(18): 5468-5487 (2022) - [j9]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: 107687 (2022) - [j8]R. Karthik, R. Menaka, Hariharan Manikandan, Daehan Won:
Contour-enhanced attention CNN for CT-based COVID-19 segmentation. Pattern Recognit. 125: 108538 (2022) - 2021
- [j7]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: 107686 (2021) - [j6]R. Karthik, R. Menaka, Hariharan Manikandan, Daehan Won:
Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN. Comput. Methods Programs Biomed. 200: 105831 (2021) - [j5]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: 115716 (2021) - [j4]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): 853-863 (2021) - 2020
- [j3]Daehan Won, Hasan Manzour, Wanpracha Art Chaovalitwongse:
Convex Optimization for Group Feature Selection in Networked Data. INFORMS J. Comput. 32(1): 182-198 (2020) - [j2]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: 106145 (2020) - [i5]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 abs/2001.09612 (2020) - [i4]Irandokht Parviziomran, Shun Cao, Krishnaswami Srihari, Daehan Won:
Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology. CoRR abs/2001.09619 (2020) - [i3]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 abs/2002.01527 (2020)
2010 – 2019
- 2018
- [c3]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: 191-198 - [c2]Qianqian Zhang, Haifeng Wang, Hongya Lu, Daehan Won, Sang Won Yoon:
Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition. ICHI 2018: 199-207 - [i2]Ehsan Khan, Avishek Choudhury, Amy L. Friedman, Daehan Won:
Decision Support System for Renal Transplantation. CoRR abs/1812.10381 (2018) - [i1]Avishek Choudhury, Y. M. S. Al Wesabi, Daehan Won:
Classification of Cervical Cancer Dataset. CoRR abs/1812.10383 (2018) - 2014
- [j1]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:
Healthcare Intelligence: Turning Data into Knowledge. IEEE Intell. Syst. 29(3): 54-68 (2014) - 2012
- [c1]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: 392-399
Coauthor Index
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last updated on 2024-07-11 19:30 CEST by the dblp team
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