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Toplam kayıt 15, listelenen: 11-15
A comprehensive survey on small object detection
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)
The advancement in artificial intelligence and computer vision facilitates object detection for computer-based systems. Object detection is used in a wide spectrum of applications such as face detection, enforcement ...
Path loss prediction from heightmap using deep learning
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)
Wireless channel parameters of a region are required for a successful network planning. Sufficient information about those parameters can be obtained by either actual measurements or ray-tracing simulations that use 3D ...
Software implementation of key transceiver algorithms for an in-band full-duplex DVB-S2-based satellite communication system
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)
Nowadays, the demand for satellite bandwidth is boosted driven by the introduction of new areas of applications such as 5G-satellite integration and the internet of things. In-Band Full-Duplex communications, where a ...
Deep learning based prediction of path loss values and distributions from satellite images
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)
It is critical to provide rapid deployment of robust and effective outdoor communication systems in today's world, where many seek to provide wireless connection services from aerial grids of drones and balloons, or low ...
Deep learning model optimization for real-time smallobject detection on embedded gpus
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2021)
Camera mounted drones are mostly used in surveillance applications. Most of these surveillance systems track objects in two steps; firstly, they detect and recognize targets in a scene and then track those targets in the ...