Deep Learning Models for UAV-Assisted Bridge Inspection: A YOLO Benchmark Analysis

Autor: Phan, Trong-Nhan, Nguyen, Hoang-Hai, Ha, Thi-Thu-Hien, Thai, Huy-Tan, Le, Kim-Hung

Visual inspections of bridges are critical to ensure their safety and identify potential failures early. This inspection process can be rapidly and accurately automated by using unmanned aerial vehicles (UAVs) integrated with deep learning models. Ho

Externí odkaz: http://arxiv.org/abs/2411.04475

eHSim: An Efficient Hybrid Similarity Search with MapReduce.

Autor: Phan, Trong Nhan, Kung, Josef, Dang, Tran Khanh

Publikováno v: 2016 IEEE 30th International Conference on Advanced Information Networking & Applications (AINA); 2016, p422-429, 8p

TLCSim: A Large-Scale Two-Level Clustering Similarity Search with MapReduce.

Autor: Phan, Trong Nhan, Jäger, Markus, Nadschläger, Stefan, Gómez-Pérez, Pablo, Huber, Christian, Küng, Josef, Nguyen, Cong An

Publikováno v: Future Data & Security Engineering: Third International Conference, FDSE 2016, Can Tho City, Vietnam, November 23-25, 2016, Proceedings; 2016, p53-71, 19p

An Efficient Document Indexing-Based Similarity Search in Large Datasets.

Autor: Phan, Trong Nhan, Jäger, Markus, Nadschläger, Stefan, Küng, Josef, Dang, Tran Khanh

Publikováno v: Future Data & Security Engineering: Second International Conference, FDSE 2015, Ho Chi Minh City, Vietnam, November 23-25, 2015, Proceedings; 2015, p16-31, 16p

Data, Information & Knowledge Sources in the Agricultural Domain.

Autor: Jager, Markus, Nadschlager, Stefan, Phan, Trong Nhan, Kung, Josef

Publikováno v: 2015 26th International Workshop on Database & Expert Systems Applications (DEXA); 1/1/2015, p115-119, 5p