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1 Ergebnisse
1
Integrated Forest Fire Detection System for Identifying Liv..:
, In:
2024 International Conference on Science Technology Engineering and Management (ICSTEM)
,
K, Srinath
;
B, Sri Sathya K.
;
S, Raguvaran
... - p. 1-7 , 2024
Link:
https://doi.org/10.1109/ICSTEM61137.2024.10560880
RT T1 <cTitle>2024 International Conference on Science Technology Engineering and Management (ICSTEM)</cTitle>: T1 <Title>Integrated Forest Fire Detection System for Identifying Living Beings Using Drones by Employing Custom TrainedYOLOv5 Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10560880&Exemplar=1&LAN=DE A1 K, Srinath A1 B, Sri Sathya K. A1 S, Raguvaran A1 K, Vachan Girish A1 K, Vidith A1 V, Sriram YR 2024 K1 YOLO K1 Wildfires K1 Wildlife K1 Sociology K1 Forestry K1 Emergency services K1 Autonomous aerial vehicles K1 YOLOv5 Model K1 Unmanned Aerial Vehicles (UAV) K1 Forest Fire K1 Object Detection and Wildlife Animals SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICSTEM61137.2024.10560880 DO https://doi.org/10.1109/ICSTEM61137.2024.10560880 SF ELIB - SuUB Bremen
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