Výsledky vyhledávání - "Quan Tran Hai"

Autonomous Landing Scheme of VTOL UAV on Moving Ship Using Deep Learning Technique Embedded in Companion Computer

Autor: Tuan Do Trong, Manh Vu Van, Quan Tran Hai, Binh Nguyen Thai

Publikováno v: 2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3631ca0fb499856af966c2d82b46677a
https://doi.org/10.1109/iccais56082.2022.9990036

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Autonomous Detection and Approach Tracking of Moving Ship on the Sea by VTOL UAV based on Deep Learning Technique through Simulated Real-time On-Air Image Acquisitions

Autor: Tuan Do Trong, Quan Tran Hai, Manh Vu Van, Binh Nguyen Thai, Tung Nguyen Chi, Truong Nguyen Quang

Publikováno v: 2021 8th NAFOSTED Conference on Information and Computer Science (NICS).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e3ae775bf7e786c9ca2038b34c490fb1
https://doi.org/10.1109/nics54270.2021.9701509

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A Novelty Approach to Emulate Field Data Captured by Unmanned Aerial Vehicles for Training Deep Learning Algorithms Used for Search-and-Rescue Activities at Sea

Autor: Han Trong Thanh, Nam Tran Duc, Quan Tran Hai, Tuan Do Trong

Publikováno v: 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE).

Nowadays, unmanned aerial vehicle (UAV) is gradually becoming popular and has applications in many fields of life and protection of national sovereignty over islands and sea. In particular, along with the increase in economic exploitation activities

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9fcddc4eda21873a6f2680db7a0c5cff
https://doi.org/10.1109/icce48956.2021.9352109

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An efficient classification of malware behavior using deep neural network

Autor: Seong Oun Hwang, Quan Tran Hai

Publikováno v: Journal of Intelligent & Fuzzy Systems. 35:5801-5814

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69fdd822b6a263bd5a907690365f654a
https://doi.org/10.3233/jifs-169823

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An approach for UAV indoor obstacle avoidance based on AI technique with ensemble of ResNet8 and Res-DQN

Autor: Quan-Tran Hai, Dat-Nguyen Van, Thanh-Han Trong, Tuan-Do Trong, Nam-Tran Duc

Publikováno v: 2019 6th NAFOSTED Conference on Information and Computer Science (NICS).

Unmanned Aerial Vehicles (UAVs) have many important applications in both civil and military areas. One of the most popular type of UAVs is quad–copter which uses four propellers to carry out its flight process. In this paper, a new control model wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::edaebb9349ad7681b0b72ae1011cfde9
https://doi.org/10.1109/nics48868.2019.9023811

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