Generalized Net Model of Forest Zone Monitoring by UAVs

Article Mathematics

Modelling the Process of Production of Diesel Fuels by the Use of Generalized Nets

Danail Dichev Stratiev et al.

Summary: The production process of commodity diesel fuel in a refinery has been modelled using Generalized Net apparatus, which can help synchronize and optimize the processes involved in managing orders of different grades of diesel fuel and available amounts of diesel fuel components.

MATHEMATICS (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

Low Cost Autonomous UAV Swarm Application in Wildfire Surveillance and Suppression

Xiaoyu Mo et al.

Summary: With the aim of developing a more efficient, portable, and disposable system, this research focuses on utilizing low-cost drones to detect fire centers and gather data in wildfires, in order to reduce rescue costs and firefighter risks.

PROCEEDINGS OF 2021 6TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING TECHNOLOGIES (ICMLT 2021) (2021)

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Article Ecology

UAV Assisted Spatiotemporal Analysis and Management of Bushfires: A Case Study of the 2020 Victorian Bushfires

Hafiz Suliman Munawar et al.

Summary: Australia often faces devastating bushfires that impact its economy, landscape, forests, and wildlife. A holistic model using GIS, remote sensing, and UAVs is proposed to manage and mitigate these bushfires. The study shows the effectiveness of the methods used and proposes improvements for future disaster management.

FIRE-SWITZERLAND (2021)

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Article Ecology

Reviews and syntheses: Arctic fire regimes and emissions in the 21st century

Jessica L. McCarty et al.

Summary: In recent years, the pan-Arctic region has seen a rise in extreme fire seasons, driven by a combination of factors including climate change, lightning activity, human-caused ignition sources, and changing land management practices. Climate change is expected to further exacerbate Arctic fires by creating conditions conducive to more frequent and intense wildfires. Addressing these challenges will require adaptation in fire management strategies, particularly in the face of shifting agricultural land use and forest transitions in a warming climate.

BIOGEOSCIENCES (2021)

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Review Computer Science, Information Systems

Computer Vision for Fire Detection on UAVs-From Software to Hardware

Seraphim S. Moumgiakmas et al.

Summary: The risk of fire hazard can have catastrophic consequences, but artificial intelligence combined with UAVs has been able to identify and avoid this risk through computer vision. Research has shown that multi-copters are the most common type of vehicle used, with the combination of RGB and thermal cameras being prevalent in most applications. The increasing trend in using Convolutional Neural Networks (CNNs) indicates a shift towards more advanced technology in fire detection and prevention.

FUTURE INTERNET (2021)

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Proceedings Paper Engineering, Civil