These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
238 related articles for article (PubMed ID: 31835487)
21. Automatic detection and quantification of floating marine macro-litter in aerial images: Introducing a novel deep learning approach connected to a web application in R. Garcia-Garin O; Monleón-Getino T; López-Brosa P; Borrell A; Aguilar A; Borja-Robalino R; Cardona L; Vighi M Environ Pollut; 2021 Jan; 273():116490. PubMed ID: 33486249 [TBL] [Abstract][Full Text] [Related]
22. Airborne Visual Detection and Tracking of Cooperative UAVs Exploiting Deep Learning. Opromolla R; Inchingolo G; Fasano G Sensors (Basel); 2019 Oct; 19(19):. PubMed ID: 31591368 [TBL] [Abstract][Full Text] [Related]
23. Drone Model Classification Using Convolutional Neural Network Trained on Synthetic Data. Wisniewski M; Rana ZA; Petrunin I J Imaging; 2022 Aug; 8(8):. PubMed ID: 36005461 [TBL] [Abstract][Full Text] [Related]
24. Estimation of number of unmanned aerial vehicles in a scene utilizing acoustic signatures and machine learning. A N W; Jha A; Kumar A; Cenkeramaddi LR J Acoust Soc Am; 2023 Jul; 154(1):533-546. PubMed ID: 37497960 [TBL] [Abstract][Full Text] [Related]
25. Secure and Privacy-Preserving Intrusion Detection and Prevention in the Internet of Unmanned Aerial Vehicles. Ntizikira E; Lei W; Alblehai F; Saleem K; Lodhi MA Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37836907 [TBL] [Abstract][Full Text] [Related]
26. Using unmanned aerial systems and deep learning for agriculture mapping in Dubai. El Hoummaidi L; Larabi A; Alam K Heliyon; 2021 Oct; 7(10):e08154. PubMed ID: 34703924 [TBL] [Abstract][Full Text] [Related]
27. Unmanned aerial vehicles for surveying marine fauna: assessing detection probability. Hodgson A; Peel D; Kelly N Ecol Appl; 2017 Jun; 27(4):1253-1267. PubMed ID: 28178755 [TBL] [Abstract][Full Text] [Related]
28. Deep Learning Approach to UAV Detection and Classification by Using Compressively Sensed RF Signal. Mo Y; Huang J; Qian G Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35459057 [TBL] [Abstract][Full Text] [Related]
29. Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs. Santos AAD; Marcato Junior J; Araújo MS; Di Martini DR; Tetila EC; Siqueira HL; Aoki C; Eltner A; Matsubara ET; Pistori H; Feitosa RQ; Liesenberg V; Gonçalves WN Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426597 [TBL] [Abstract][Full Text] [Related]
30. Anthropogenic Marine Debris assessment with Unmanned Aerial Vehicle imagery and deep learning: A case study along the beaches of the Republic of Maldives. Fallati L; Polidori A; Salvatore C; Saponari L; Savini A; Galli P Sci Total Environ; 2019 Nov; 693():133581. PubMed ID: 31376751 [TBL] [Abstract][Full Text] [Related]
31. Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks. Zhong J; Lei T; Yao G Sensors (Basel); 2017 Nov; 17(12):. PubMed ID: 29186756 [TBL] [Abstract][Full Text] [Related]
32. UAV IoT Framework Views and Challenges: Towards Protecting Drones as "Things". Lagkas T; Argyriou V; Bibi S; Sarigiannidis P Sensors (Basel); 2018 Nov; 18(11):. PubMed ID: 30453646 [TBL] [Abstract][Full Text] [Related]
33. Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review. Seidaliyeva U; Ilipbayeva L; Taissariyeva K; Smailov N; Matson ET Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38202987 [TBL] [Abstract][Full Text] [Related]
34. Deep learning techniques to classify agricultural crops through UAV imagery: a review. Bouguettaya A; Zarzour H; Kechida A; Taberkit AM Neural Comput Appl; 2022; 34(12):9511-9536. PubMed ID: 35281624 [TBL] [Abstract][Full Text] [Related]
35. Automatic Change Detection System over Unmanned Aerial Vehicle Video Sequences Based on Convolutional Neural Networks. García Rubio V; Rodrigo Ferrán JA; Menéndez García JM; Sánchez Almodóvar N; Lalueza Mayordomo JM; Álvarez F Sensors (Basel); 2019 Oct; 19(20):. PubMed ID: 31623134 [TBL] [Abstract][Full Text] [Related]
36. Flower Mapping in Grasslands With Drones and Deep Learning. Gallmann J; Schüpbach B; Jacot K; Albrecht M; Winizki J; Kirchgessner N; Aasen H Front Plant Sci; 2021; 12():774965. PubMed ID: 35222449 [TBL] [Abstract][Full Text] [Related]
37. Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle. Kim IH; Jeon H; Baek SC; Hong WH; Jung HJ Sensors (Basel); 2018 Jun; 18(6):. PubMed ID: 29890652 [TBL] [Abstract][Full Text] [Related]
38. The Use of Drones in Spain: Towards a Platform for Controlling UAVs in Urban Environments. Chamoso P; González-Briones A; Rivas A; Bueno De Mata F; Corchado JM Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29751554 [TBL] [Abstract][Full Text] [Related]
39. Monocular Vision System for Fixed Altitude Flight of Unmanned Aerial Vehicles. Huang KL; Chiu CC; Chiu SY; Teng YJ; Hao SS Sensors (Basel); 2015 Jul; 15(7):16848-65. PubMed ID: 26184213 [TBL] [Abstract][Full Text] [Related]
40. Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks. Spyridis Y; Lagkas T; Sarigiannidis P; Argyriou V; Sarigiannidis A; Eleftherakis G; Zhang J Sensors (Basel); 2021 Jun; 21(11):. PubMed ID: 34200449 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]