FL-YOLOv7: a lightweight small object detection algorithm in forest fire detection

Z Xiao, F Wan, G Lei, Y Xiong, L Xu, Z Ye, W Liu… - Forests, 2023 - mdpi.com
Given the limited computing capabilities of UAV terminal equipment, there is a challenge in
balancing the accuracy and computational cost when deploying the target detection model …

Selected Issues Associated with the Operational and Power Supply Reliability of Fire Alarm Systems

T Klimczak, J Paś, S Duer, A Rosiński, P Wetoszka… - Energies, 2022 - mdpi.com
The article reviews issues associated with the use of electronic fire alarm systems (FAS).
They are operated in various environments and buildings with varying volumes. FAS have to …

IFS-DETR: A real-time industrial fire smoke detection algorithm based on an end-to-end structured network

JS Chen, HZ Han, M Liu, P Su, X Chen - Measurement, 2024 - Elsevier
Fire prevention in industrial settings are paramount for ensuring human safety and economic
stability. However, current mainstream DETR detectors face significant challenges in …

Identifying Characteristic Fire Properties with Stationary and Non-Stationary Fire Alarm Systems

M Wiśnios, S Tatko, M Mazur, J Paś, JM Łukasiak… - Sensors, 2024 - mdpi.com
The article reviews issues associated with the operation of stationary and non-stationary
electronic fire alarm systems (FASs). These systems are employed for the fire protection of …

Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines

JM Haut, JM Franco-Valiente, ME Paoletti… - SN Computer …, 2024 - Springer
Hyperspectral image processing techniques involve time-consuming calculations due to the
large volume and complexity of the data. Indeed, hyperspectral scenes contain a wealth of …

Improved robust nonparallel support vector machines

A Sahleh, M Salahi - International Journal of Data Science and Analytics, 2024 - Springer
Abstract Nonparallel Support Vector Machine (NPSVM) is a binary classification approach
that combines the advantages of both support vector machine (SVM) and Twin SVM …

Comparative Study of Image-Based Fire Detection Algorithms

S Jain, S Narayan, TN Antoo… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Fire is one of the most common risks worldwide that is present in all areas of life. It has been
identified as one of the major hazards in the United Nations Global Assessment Report …

A 6G-Enabled Edge-Assisted Internet of Drone Things Ecosystem for Fire Detection

A Mukherjee, S Rakshit, AK Panja, D De… - … Conference on Frontiers …, 2023 - Springer
Disaster detection using unmanned aerial vehicles (UAVs) is a popular study topic. The
modern Internet of Drone Things (IoDT) makes use of cutting-edge, low-latency vehicle …

Imagery Data Impact Analysis in Machine Learning Algorithm Performance for Bushfire Detection Systems

S Partheepan, F Sanati, J Hassan - International Congress on Information …, 2024 - Springer
The increased number and intensity of recent bushfire events has become a critical
environmental and economic issue. A robust bushfire detection mechanism is crucial for …

Analysis of the possibility of increasing the level of reliability of fire alarms systems through integration with videobased flame detection system

M Mazur, M Wiśnios, J Paś - Journal of KONBiN, 2024 - yadda.icm.edu.pl
Classic Fire Alarm Systems (FAS) are characterized by a high level of false alarms in
relation to the number of confirmed reports. To increase the level of reliability of operation of …