Deep learningObject detectionTraffic surveillanceUAVIn the contemporary era, the global explosion of traffic has created many eye-catching concerns for policymakers. This not only enhances pollution but also leads to several road accident fatalities which may be greatly reduced by proper monitoring and ...
Collaborative Spectrum Sensing for Illegal Drone Detection:A Deep Learning-Based Image Classication Perspective Collaborative Spectrum Sensing for Illegal Drone Detection:A Deep Learning-Based Image Classication Perspective DronesSensorsConvolutional neural networksWireless ... H Chen,Z Wang,L Zhang - 《...
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Singh A, Patil D, Omkar SN (2018) Eye in the sky: real-time drone surveillance system (DSS) for violent individuals identification using scatternet hybrid deep learning network. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 1629–1637 Ravanbakhsh...
This paper illustrates the results obtained by using pre-trained semantic segmentation deep learning models for the detection of archaeological sites within the Mesopotamian floodplains environment. The models were fine-tuned using openly available satellite imagery and vector shapes coming from a large co...
In the future, the researchers hope that their model will inspire the creation of robotic agents that can track odors during search-and-rescue missions, environmental monitoring efforts, and other applications. In their next studies, they plan to develop their model further, by improving the physic...
Hence, an efficient and effective monitoring system is required to reduce the negative implication of drought. Deep learning models have emerged as a promising solution for drought prediction, leveraging the power of neural networks to extract complex patterns from large and diverse datasets. In this...
Satellite remote sensing has been instrumental in monitoring urban forest resources for a long time [2]. However, due to the fragmented distribution and heterogeneous underlying surface of urban forests, it is often difficult to accurately identify and detect individual tree crowns with the limited ...
dot - A minimal, local first continuous integration system that uses Docker to run jobs concurrently in stages. drone - Drone is a Continuous Integration platform built on Docker, written in Go. go-beautiful-html-coverage - A GitHub Action to track code coverage in your pull requests, with ...
A deep learning approach to flight delay prediction. In Proceedings of the 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC), Sacramento, CA, USA, 25–30 September 2016; pp. 1–6, ISSN 2155-7209. [Google Scholar] [CrossRef] Zeng, W.; Quan, Z.; Zhao, Z.; Xie, C.; ...