المؤلفون: M. Muzammul, Abdulmohsen Algarni, Yazeed Yasin Ghadi, Muhammad Assam

المصدر: IEEE Access, Vol 12, Pp 21621-21633 (2024)

مصطلحات موضوعية: Aerial image analysis, drone surveillance, RT-DETR-SAHI, UAV object detection, image enhancement, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10423771/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/1a589668284f4a1ba999872e2c3eb420

المؤلفون: Xin Zuo, Chenhui Qi, Yifei Chen, Jifeng Shen, Heng Fan, Wankou Yang

المصدر: IEEE Access, Vol 12, Pp 114212-114226 (2024)

مصطلحات موضوعية: UAV object detection, cross-scale feature fusion, sparse attention, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10638027/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/484e9c245bc844718a583cfac32b8246

المؤلفون: Yaning Kong, Xiangfeng Shang, Shijie Jia

المصدر: Sensors, Vol 24, Iss 17, p 5496 (2024)

مصطلحات موضوعية: UAV object detection, RT-DETR, small object detection, feature fusion, visual sensors, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/17/5496; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/bf0664b4c168470a8846821f38532ecd

المؤلفون: SAYGILI, Ziya, ÖZMEN, Güzin

المصدر: Issue: 34 292-298
Avrupa Bilim ve Teknoloji Dergisi

مصطلحات موضوعية: Engineering, İHA,Nesne Tespiti,Derin Öğrenme,Gömülü Sistem,SSD MobileNet, UAV,Object Detection,Deep Learning,Embedded System,SSD MobileNet, Mühendislik

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::982a5de522729af35875668e705f565b
https://dergipark.org.tr/tr/pub/ejosat/issue/68224/1081713

المؤلفون: Li, Guoqing, Zhang, Jingwei, Zhang, Meng, Corporaal, Henk

المصدر: Li , G , Zhang , J , Zhang , M & Corporaal , H 2022 , An Efficient FPGA Implementation for Real-Time and Low-Power UAV Object Detection . in IEEE International Symposium on Circuits and Systems, ISCAS 2022 . Institute of Electrical and Electronics Engineers , pp. 1387-1391 , 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022 , Austin , Texas , United States , 27/05/22 . https://doi.org/10.1109/ISCAS48785.2022.9937449

مصطلحات موضوعية: Depthwise separable convolution, FPGA, Hardware accelerator, Low-power, Real-time, UAV Object detection

Relation: urn:ISBN:9781665484855

الاتاحة: https://research.tue.nl/en/publications/ad42315b-b1d3-438b-9156-7bdb83be9b86
https://doi.org/10.1109/ISCAS48785.2022.9937449
http://www.scopus.com/inward/record.url?scp=85142489294&partnerID=8YFLogxK

المؤلفون: SAYGILI, Ziya, ÖZMEN, Güzin

المصدر: Issue: 34 292-298 ; 2148-2683 ; Avrupa Bilim ve Teknoloji Dergisi

مصطلحات موضوعية: UAV,Object Detection,Deep Learning,Embedded System,SSD MobileNet, İHA,Nesne Tespiti,Derin Öğrenme,Gömülü Sistem,SSD MobileNet

وصف الملف: application/pdf

Relation: https://dergipark.org.tr/tr/download/article-file/2285254; https://dergipark.org.tr/tr/pub/ejosat/issue/68224/1081713

الاتاحة: https://dergipark.org.tr/tr/pub/ejosat/issue/68224/1081713
https://doi.org/10.31590/ejosat.1081713