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Dana Utebayeva, Lyazzat Ilipbayeva and Eric T. Matson
The detection and classification of engine-based moving objects in restricted scenes from acoustic signals allow better Unmanned Aerial System (UAS)-specific intelligent systems and audio-based surveillance systems. Recurrent Neural Networks (RNNs) provi...
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Pappu Kumar Yadav, J. Alex Thomasson, Robert Hardin, Stephen W. Searcy, Ulisses Braga-Neto, Sorin C. Popescu, Roberto Rodriguez III, Daniel E. Martin, Juan Enciso, Karem Meza and Emma L. White
Plastic shopping bags are often discarded as litter and can be carried away from roadsides and become tangled on cotton plants in farm fields. This rubbish plastic can end up in the cotton at the gin if not removed before harvest. These bags may not only...
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Seyed Mohammad Hashemi, Seyed Ali Hashemi, Ruxandra Mihaela Botez and Georges Ghazi
This paper presents a methodology for designing a highly reliable Air Traffic Management and Control (ATMC) methodology using Neural Networks and Peer-to-Peer (P2P) blockchain. A novel data-driven algorithm was designed for Aircraft Trajectory Prediction...
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Ruohao Zhang, Jean-Philippe Condomines and Emmanuel Lochin
The rapid development of Internet of Things (IoT) technology, together with mobile network technology, has created a never-before-seen world of interconnection, evoking research on how to make it vaster, faster, and safer. To support the ongoing fight ag...
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Jefferson T. Hinke, Louise M. Giuseffi, Victoria R. Hermanson, Samuel M. Woodman and Douglas J. Krause
Estimating seabird and pinniped abundance is central to wildlife management and ecosystem monitoring in Antarctica. Unoccupied aerial systems (UAS) can collect images to support monitoring, but manual image analysis is often impractical. Automating targe...
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Michaela Doukari, Stelios Katsanevakis, Nikolaos Soulakellis and Konstantinos Topouzelis
Marine conservation and management require detailed and accurate habitat mapping, which is usually produced by collecting data using remote sensing methods. In recent years, unmanned aerial systems (UAS) are used for marine data acquisition, as they prov...
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Carolyn J. Swinney and John C. Woods
Small unmanned aerial systems (UASs) present many potential solutions and enhancements to industry today but equally pose a significant security challenge. We only need to look at the levels of disruption caused by UASs at airports in recent years. The a...
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Moulay A. Akhloufi, Andy Couturier and Nicolás A. Castro
Wildfires represent a significant natural risk causing economic losses, human death and environmental damage. In recent years, the world has seen an increase in fire intensity and frequency. Research has been conducted towards the development of dedicate...
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Adrien Michez, Stéphane Broset and Philippe Lejeune
In the context of global biodiversity loss, wildlife population monitoring is a major challenge. Some innovative techniques such as the use of drones?also called unmanned aerial vehicle/system (UAV/UAS)?offer promising opportunities. The potential of UAS...
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Apostolos Papakonstantinou, Marios Batsaris, Spyros Spondylidis and Konstantinos Topouzelis
Marine litter (ML) accumulation in the coastal zone has been recognized as a major problem in our time, as it can dramatically affect the environment, marine ecosystems, and coastal communities. Existing monitoring methods fail to respond to the spatiote...
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