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2020 – today
- 2023
[c22]An Cong Tran, Thuy Mong Nguyen-Thi, Nguyen Huu Van Long, Hai Thanh Nguyen:
A Transfer Learning-Based Approach for Rice Plant Disease Detection. IEA/AIE (1) 2023: 145-150- [c21]Nguyen Thai-Nghe, Nguyen Thi Kim Xuyen, An Cong Tran, Tran Thanh Dien
:
Dealing with New User Problem Using Content-Based Deep Matrix Factorization. IEA/AIE (2) 2023: 177-188 - [c20]An Cong Tran, Duc-Thien Tran, Nguyen Thai-Nghe, Tran Thanh Dien, Hai Thanh Nguyen:
Course Recommendation Based on Graph Convolutional Neural Network. IEA/AIE (1) 2023: 235-240 - 2022
- [j4]An Cong Tran, Anh Nhut Nguyen Chau, Nghi Cong Tran, Thanh-Hai Nguyen:
An Approach for Counting Breeding Eels Using Mathematical Morphology Operations and Boundary Detection. Appl. Comput. Syst. 27(2): 110-118 (2022) - [c19]An Cong Tran, Vu Vo Thanh, Nghi Cong Tran, Hai Thanh Nguyen:
An Implementation and Evaluation of Layer 2 for Ethereum with zk-Rollup. CSoNet 2022: 107-115 - [c18]An Cong Tran, Trong Huu Ngo, Hai Thanh Nguyen:
Social Distancing Violation Detection in Video Using ChessBoard and Bird's-eye Perspective. FDSE (CCIS Volume) 2022: 462-476 - [c17]An Cong Tran, Loc Phuoc Son, Duy Tuong Lam, Nghi Cong Tran, Hai Thanh Nguyen:
Human Voice Recognition for Subtitle Generators on Khmer and Vietnamese Newsletter Videos. RIVF 2022: 124-129 - 2021
- [c16]An C. Tran, Vo Quoc Bao Bui, Ho Gia Huy, Hang Van Kieng, Van Long Nguyen Huu:
A Model for Car Registration System based on Blockchain Technology. ACOMP 2021: 210-214 - [c15]An C. Tran, Hung Thanh Nguyen, Van Long Nguyen Huu, Nghia Duong-Trung:
Pesticide Label Detection Using Bounding Prediction-Based Deep Convolutional Networks. FDSE 2021: 195-210 - [c14]An C. Tran, Hang Van Kieng, Dang Xuan Mai, Van Long Nguyen Huu:
A Consortium Blockchain-Based Platform for Academic Certificate Verification. FDSE (CCIS Volume) 2021: 346-360 - 2020
- [c13]An C. Tran, Nguyen Thi Nhu Y, Phung Kim Thoa, Nghi C. Tran, Nghia Duong-Trung:
Real-time Recognition of Medicinal Plant Leaves Using Bounding-box Based Models. ACOMP 2020: 34-41 - [c12]An C. Tran, M. Fukuzawa:
Ontology-Based Shrimp and Fish Diseases Diagnosis. FDSE (CCIS Volume) 2020: 151-165 - [c11]An C. Tran, Nghi C. Tran, Nghia Duong-Trung:
Recognition and Quantity Estimation of Pastry Images Using Pre-training Deep Convolutional Networks. FDSE (CCIS Volume) 2020: 200-214 - [c10]Nguyen Thanh Hai, Toan Bao Tran, An Cong Tran, Nguyen Thai-Nghe:
Feature Selection Using Local Interpretable Model-Agnostic Explanations on Metagenomic Data. FDSE (CCIS Volume) 2020: 340-357
2010 – 2019
- 2019
- [j3]Nghi C. Tran, An Cong Tran, Nguyen Huu Van Long, Hiep Xuan Huynh:
Counting Brown Planthoppers in Light-Trap Images Using Morphological Operations. EAI Endorsed Trans. Context aware Syst. Appl. 6(17): e2 (2019) - [c9]An Cong Tran, Duong Lu Dien, Hiep Xuan Huynh, Nguyen Huu Van Long, Nghi C. Tran:
A Model for Real-Time Traffic Signs Recognition Based on the YOLO Algorithm - A Case Study Using Vietnamese Traffic Signs. FDSE 2019: 104-116 - 2017
- [j2]An C. Tran, Jens Dietrich, Hans W. Guesgen, Stephen Marsland:
Parallel Symmetric Class Expression Learning. J. Mach. Learn. Res. 18: 64:1-64:34 (2017) - [c8]An C. Tran, Nghi C. Tran, Hiep Xuan Huynh:
A Morphological Approach to Counting BPH in Light-Trap Images with Overlapping Individuals. ACOMP 2017: 10-15 - 2016
- [c7]An C. Tran, Nghi C. Tran, Hiep Xuan Huynh:
An Approach to Detecting Brown Plant Hopper Based on Morphological Operations. ICTCC 2016: 52-61 - 2015
- [c6]An Cong Tran:
Application of description logic learning in abnormal behaviour detection in smart homes. RIVF 2015: 7-12 - 2013
- [c5]An C. Tran, Hans W. Guesgen, Jens Dietrich, Stephen Marsland:
An Approach to Numeric Refinement in Description Logic Learning for Learning Activities Duration in Smart Homes. AAAI Workshop: Space, Time, and Ambient Intelligence 2013 - [c4]An Cong Tran, Jens Dietrich, Hans W. Guesgen, Stephen Marsland:
Improving Predictive Specificity of Description Logic Learners by Fortification. ACML 2013: 419-434 - 2012
- [c3]An C. Tran, Jens Dietrich, Hans W. Guesgen, Stephen Marsland:
An Approach to Parallel Class Expression Learning. RuleML 2012: 302-316 - [c2]An C. Tran, Jens Dietrich, Hans W. Guesgen, Stephen Marsland:
Two-way Parallel Class Expression Learning. ACML 2012: 443-458 - 2010
- [j1]Paul Lyons, An Cong Tran, H. Joe Steinhauer, Stephen Marsland, Jens Dietrich, Hans W. Guesgen:
Exploring the responsibilities of single-inhabitant Smart Homes with Use Cases. J. Ambient Intell. Smart Environ. 2(3): 211-232 (2010) - [c1]An Cong Tran, Stephen Marsland, Jens Dietrich, Hans W. Guesgen, Paul Lyons:
Use Cases for Abnormal Behaviour Detection in Smart Homes. ICOST 2010: 144-151
Coauthor Index
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