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Publication search results
found 147 matches
- 2024
- Van-Nui Nguyen, Trang-Thi Ho, Thu-Dung Doan, Nguyen-Quoc-Khanh Le:
Using a hybrid neural network architecture for DNA sequence representation: A study on N4-methylcytosine sites. Comput. Biol. Medicine 178: 108664 (2024) - Shreya Singh, Nguyen-Quoc-Khanh Le, Cheng Wang:
VF-Pred: Predicting virulence factor using sequence alignment percentage and ensemble learning models. Comput. Biol. Medicine 168: 107662 (2024) - Thi-Oanh Tran, Nguyen-Quoc-Khanh Le:
Sa-TTCA: An SVM-based approach for tumor T-cell antigen classification using features extracted from biological sequencing and natural language processing. Comput. Biol. Medicine 174: 108408 (2024) - Khanh Nguyen Quoc, Van Tong, Cuong Dao, Tuyen Ngoc Le, Duc Tran:
Boosted regression for predicting CPU utilization in the cloud with periodicity. J. Supercomput. 80(18): 26036-26060 (2024) - Phan H. T. Trung, Le K. Bang, Hoang Nguyen Kha, Quoc Tran Bao, Nguyen Duong Phu Trong, Loc Van Cao Phu, Hieu M. Doan, Khoa Tran Dang:
Towards Transparent and Ethical Coffee and Cocoa Supply Chains: Integrating Blockchain, Encrypted-RSA NFTs, and IPFS. DEXA (2) 2024: 3-17 - Nguyen Quoc Khanh Le, Van-Nui Nguyen, Thi-Tuyen Nguyen, Thi-Xuan Tran, Trang-Thi Ho:
Enhancing Protein Sequence Classification with a Fuzzy Neural Network: A Study in Anticancer Peptide Identification. iFUZZY 2024: 1-6 - Hien Q. Kha, Dinh-Tan Nguyen, Thinh B. Lam, Thanh-Huy Nguyen, Cao T. Tran, Manh D. Vu, Lan T. Ho-Pham, Liem Pham, Nguyen Quoc Khanh Le:
M2NET: Two-Stage Multi-Label Breast Cancer Detection Networks. ISBI 2024: 1-4 - Phan H. T. Trung, Le K. Bang, Hoang Nguyen Kha, Quoc Tran Bao, Nguyen Duong Phu Trong, Loc Van Cao Phu, Hieu M. Doan, H. G. Khiem:
Enhancing Pet Health Record Security Through RSA-Encrypted NFTs and Smart Contracts on the Blockchain. KSEM (4) 2024: 218-229 - Phan H. T. Trung, Le K. Bang, Hoang Nguyen Kha, Quoc Tran Bao, Nguyen D. P. Trong, T. B. Nam, Hieu M. Doan, H. G. Khiem:
Enhancing Electoral Integrity: A Comprehensive Study of Blockchain-Enabled Voting on EVM Platforms. KSEM (4) 2024: 387-399 - Phan H. T. Trung, Le K. Bang, Kha Nguyen Hoang, Tran Quoc Bao, Nguyen Duong Phu Trong, T. B. Nam, Hieu Doan Minh, H. G. Khiem:
Integrating Blockchain and RSA-Encrypted NFTs for Enhanced Digital Knowledge Management. KSEM (4) 2024: 318-330 - Phan H. T. Trung, Nghiem T. Pham, Hieu M. Doan, Tran Dang Khoa, Quoc Tran Bao, Le K. Bang, Ngan N. T. Kim, Nguyen Duong Phu Trong:
Evaluating Third-Party Involvement in Android Apps: Norms and Anomalies in Usage Patterns. MobiWIS 2024: 114-127 - M. N. Triet, H. V. Khanh, Le K. Bang, T. D. Khoa, Bao Q. Tran, Phuc Nguyen Trong, Loc Van Cao Phu, Hieu M. Doan:
Enhanced Security for Animal Health Records Using RSA-Encrypted NFTs on the Blockchain. MobiWIS 2024: 100-113 - Phan H. T. Trung, Le K. Bang, Hoang Nguyen Kha, Quoc Tran Bao, Nguyen D. P. Trong, Loc Van Cao Phu, Hieu M. Doan, T. P. Nghiem:
Transparent Threads: Enhancing Handicraft Supply Chain Ethics and Transparency with Blockchain, Smart Contracts and Encrypted-RSA NFTs. MobiWIS 2024: 147-160 - Phan H. T. Trung, Khoa Tran Dang, Hoang Nguyen Kha, Bao Q. Tran, Nguyen D. P. Trong, Loc Van Cao Phu, Hieu M. Doan, Le K. Bang:
Decentralized Renewable Energy Trading: A Cross-Chain, NFT, and IPFS Framework. MobiWIS 2024: 69-82 - Quang-Hien Kha, Minh Huu Nhat Le, Lam Huu Phuc Nguyen, Minh Nguyen Tuan Tran, Linh My Nguyen, Hung Quay Thong, Nguyen-Quoc-Khanh Le:
SISU: A Holistic Self-training Framework on Semi-supervised White Blood Cell Segmentation. TAI4H 2024: 134-144 - Thi-Oanh Tran, Quang-Hien Kha, Nguyen-Quoc-Khanh Le:
RF-Lung-DR: Integrating Biological and Drug SMILES Features in a Random Forest-Based Drug Response Predictor for Lung Cancer Cell Lines. TAI4H 2024: 157-167 - Vinh Quoc Luu, Duy Khanh Le, Huy Thanh Nguyen, Minh Thanh Nguyen, Thinh Tien Nguyen, Vinh Quang Dinh:
Semi-supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cell. CoRR abs/2401.07278 (2024) - Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung:
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. CoRR abs/2403.12326 (2024) - Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le:
Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR abs/2408.04221 (2024) - 2023
- Nguyen-Quoc-Khanh Le, Wanru Li, Yanshuang Cao:
Sequence-based prediction model of protein crystallization propensity using machine learning and two-level feature selection. Briefings Bioinform. 24(5) (2023) - Qitong Yuan, Keyi Chen, Yimin Yu, Nguyen-Quoc-Khanh Le, Matthew Chin Heng Chua:
Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding. Briefings Bioinform. 24(1) (2023) - Tran Nguyen Tuan Minh, Viet-Huan Le, Nguyen-Quoc-Khanh Le:
Diffusion-tensor imaging and dynamic susceptibility contrast MRIs improve radiomics-based machine learning model of MGMT promoter methylation status in glioblastomas. Biomed. Signal Process. Control. 86(Part A): 105122 (2023) - Ha Manh Luu, Hong Son Mai, Xuan Loc Pham, Quoc Anh Le, Quoc Khanh Le, Theo van Walsum, Ngoc Ha Le, Daniel Robert Franklin, Ha Vu Le, Adriaan Moelker, Trinh Chu Duc, Nguyen Linh Trung:
Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non-rigid registration. Comput. Methods Programs Biomed. 233: 107453 (2023) - Viet-Huan Le, Quang-Hien Kha, Minh-Tien Nguyen, Van Hiep Nguyen, Van Long Le, Nguyen-Quoc-Khanh Le:
Development and Validation of CT-Based Radiomics Signature for Overall Survival Prediction in Multi-organ Cancer. J. Digit. Imaging 36(3): 911-922 (2023) - Viet-Huan Le, Tran Nguyen Tuan Minh, Quang-Hien Kha, Nguyen-Quoc-Khanh Le:
A transfer learning approach on MRI-based radiomics signature for overall survival prediction of low-grade and high-grade gliomas. Medical Biol. Eng. Comput. 61(10): 2699-2712 (2023) - Nguyen-Quoc-Khanh Le:
Predicting emerging drug interactions using GNNs. Nat. Comput. Sci. 3(12): 1007-1008 (2023) - Quang-Hien Kha, Viet-Huan Le, Truong Nguyen Khanh Hung, Ngan Thi Kim Nguyen, Nguyen-Quoc-Khanh Le:
Development and Validation of an Explainable Machine Learning-Based Prediction Model for Drug-Food Interactions from Chemical Structures. Sensors 23(8): 3962 (2023) - Quoc-An Nguyen, Khanh-Vinh Nguyen, Hoang-Quynh Le, Duy-Cat Can, Tam Doan Thanh, Trung-Hieu Do, Mai-Vu Tran:
Integrating Ontology-Based Knowledge to Improve Biomedical Multi-Document Summarization Model. ACIIDS (2) 2023: 99-110 - Nguyen-Quoc-Khanh Le, Quang-Hien Kha:
A Sequence-Based Prediction Model of Vesicular Transport Proteins Using Ensemble Deep Learning. BCB 2023: 106:1-106:6 - Nguyen-Kieu Viet-Nhi, Nguyen-Quoc-Khanh Le, Vu Cong Truc, Thi Thuy Nguyen, Tran Nguyen Anh Duy, Nguyen Tu Thai Bao, How Tseng, Shih-Han Hung:
Predicting Tumor Mutational Burden and Survival in Head and Neck Squamous Cancer Patients Using Machine Learning and Bioinformatics Approaches. BCB 2023: 87:1
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