Search Results - "wildfire detection"

Confounding factors-aware hierarchical deep learning for sustainable edge wildfire detection

Authors: El Madafri, Ismail

Contributors: University/Department: Universitat Politècnica de Catalunya. Institut Universitari de Recerca en Ciència i Tecnologies de la Sostenibilitat

Thesis Advisors: Peña Carrera, Marta, Olmedo Torre, Noelia

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: wildfire detection, deep learning, confounding elements, multi-task learning, knowledge distillation, hierarchical learning, domain adaptation, edge devices, sustainable AI, environmental monitoring., detecció d'incendis forestals, aprenentatge profund, elements confusos, aprenentatge multitarea, destil·lació de coneixement, aprenentatge jeràrquic, adaptació al domini, dispositius edge, IA sostenible, monitoratge ambiental, detección de incendios forestales, aprendizaje profundo, elementos confusos, aprendizaje multitarea, destilación de conocimiento, aprendizaje jerárquico, adaptación al dominio, dispositivos edge, monitoreo ambiental., Àrees temàtiques de la UPC::Desenvolupament humà i sostenible, 502 - Natura. Estudi, conservació i protecció de la natura, 630 - Silvicultura. Arboricultura

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695130
https://dx.doi.org/10.5821/dissertation-2117-440594

FCDNet: A Lightweight Network for Real-Time Wildfire Core Detection in Drone Thermal Imaging

Authors: Linfeng Wang Oualid Doukhi Deok Jin Lee

Source: IEEE Access, Vol 13, Pp 14516-14530 (2025)

Subject Terms: infrared wildfire detection, lightweight network, YOLOv8n-based, FCDNet, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/560d1820640d43e2be60db9bc77c5340

Deep Learning-Driven Multi-Temporal Detection: Leveraging DeeplabV3+/Efficientnet-B08 Semantic Segmentation for Deforestation and Forest Fire Detection

Authors: Joe Soundararajan Andrew Kalukin Jordan Malof et al.

Source: Remote Sensing, Vol 17, Iss 14, p 2333 (2025)

Subject Terms: wildfire detection, EfficientNet-B08, DeepLabV3+, Science, satellite imagery, semantic segmentation, deforestation detection

Access URL: https://doaj.org/article/02e1a7d930b943dfae7067d02ba0b630

Xyloni: Very Low Power Neural Network Accelerator for Intermittent Remote Visual Detection of Wildfire and Beyond

Authors: Chen, Jeffrey Jun, Sang-Woo Mundra, Aditi et al.

Subject Terms: Data Management and Data Science, Distributed Computing and Systems Software, Information and Computing Sciences, Edge computing, wildfire detection, CNN, FPGA, NVM, LoRa, Mesh

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/7f12j5kf
https://escholarship.org/content/qt7f12j5kf/qt7f12j5kf.pdf

Hyperparameter optimization of YOLOv8 for smoke and wildfire detection: Implications for agricultural and environmental safety

Authors: Leo Ramos Edmundo Casas Eduardo Bendek et al.

Source: Artificial Intelligence in Agriculture, Vol 12, Iss, Pp 109-126 (2024)

Subject Terms: 2. Zero hunger, Object detection, Agricultural safety, 0202 electrical engineering, electronic engineering, information engineering, Smoke detection, Computer vision, YOLO, Agriculture, 02 engineering and technology, 01 natural sciences, Wildfire detection, 0105 earth and related environmental sciences

Access URL: https://doaj.org/article/049361d6a78a49328ec6d90dc9c695b4

Power Transmission Corridors Wildfire Detection for Multi-Scale Fusion and Adaptive Texture Learning Based on Transformers

Authors: Yicen Liu Xi Liu Zhikun Zheng et al.

Source: IEEE Access, Vol 13, Pp 140973-140983 (2025)

Subject Terms: Power transmission corridors wildfire detection, multi-scale fusion, adaptive texture, transformer, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11079617/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/a421c1276f4848e0b081b4d23d5992f3

Early-Stage Wildfire Detection: A Weakly Supervised Transformer-Based Approach

Authors: Tina Samavat Amirhessam Yazdi Feng Yan et al.

Source: Fire, Vol 8, Iss 11, p 413 (2025)

Subject Terms: wildfire detection, smoke detection, deformable-DETR, weakly supervised, Physics, QC1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2571-6255/8/11/413; https://doaj.org/toc/2571-6255

Access URL: https://doaj.org/article/c9ab9b70b210497380e64ff16db3a7a9

AI for Wildfire Management: From Prediction to Detection, Simulation, and Impact Analysis—Bridging Lab Metrics and Real-World Validation

Authors: Nicolas Caron Hassan N. Noura Lise Nakache et al.

Source: AI, Vol 6, Iss 10, p 253 (2025)

Subject Terms: artificial intelligence, wildfire susceptibility map, wildfire segmentation, wildfire prediction, wildfire detection, damage analysis, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/2673-2688/6/10/253; https://doaj.org/toc/2673-2688

Access URL: https://doaj.org/article/2b4bb1f7d7ca415ab3e79519124b0c33

HybriDet: A Hybrid Neural Network Combining CNN and Transformer for Wildfire Detection in Remote Sensing Imagery

Authors: Fengming Dong Ming Wang

Source: Remote Sensing, Vol 17, Iss 20, p 3497 (2025)

Subject Terms: hybrid neural network, swin transformer, dual attention, remote sensing, wildfire detection, Science

File Description: electronic resource

Relation: https://www.mdpi.com/2072-4292/17/20/3497; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/9c43525f2ca44ee3b342a2e589af8116

COMBINING YOLO V5 AND TRANSFER LEARNING FOR SMOKE-BASED WILDFIRE DETECTION IN BOREAL FORESTS

Authors: A.-M. Raita-Hakola S. Rahkonen J. Suomalainen et al.

Contributors: A.-M. Raita-Hakola S. Rahkonen J. Suomalainen et al.

Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1771-1778 (2023)

Subject Terms: kaukovalvonta, Technology, maastopalot, metsäpalot, YOLO V5, transfer learning, 15. Life on land, Engineering (General). Civil engineering (General), Computational Science, TA1501-1820, wildfire detection, savu, koneoppiminen, boreaalinen vyöhyke, ilmakuvat, 13. Climate action, 11. Sustainability, boreal forests, konenäkö, Applied optics. Photonics, smoke detection, TA1-2040, Laskennallinen tiede, forest fire

File Description: application/pdf; fulltext

Access URL: https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1771/2023/
https://doaj.org/article/931aa5d2308446f49f6e07c10442d0bc
http://urn.fi/URN:NBN:fi:jyu-202406054315

Comparison of 1D and 3D Convolutional Neural Networks for Wildfire Detection Using PRISMA Hyperspectral Imagery and Domain Adaptation

Authors: Andrea Carbone Dario Spiller Stefania Amici et al.

Source: 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). :911-916

Subject Terms: wildfire detection, PRISMA, hyperspetral imagery, CNN, on-the-edge computing

File Description: application/pdf

Wildfire Detection With Deep Learning—A Case Study for the CICLOPE Project

Authors: Afonso M. Gonçalves Tomás Brandão João C. Ferreira

Source: IEEE Access. 12:82095-82110

Subject Terms: 13. Climate action, 11. Sustainability, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação, Computer vision, Convolutional neural networks, Deep learning, Smoke detection, 15. Life on land, Domínio/Área Científica::Ciências Agrárias::Agricultura, Silvicultura e Pescas, 7. Clean energy, Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática, Wildfire detection

File Description: application/pdf

Access URL: http://hdl.handle.net/10071/31906

FireDetXplainer: Decoding Wildfire Detection With Transparency and Explainable AI Insights

Authors: Syeda Fiza Rubab Arslan Abdul Ghaffar Gyu Sang Choi

Source: IEEE Access, Vol 12, Pp 52378-52389 (2024)

Subject Terms: wildfire detection, 0301 basic medicine, 03 medical and health sciences, explainable AI (XAI), 0202 electrical engineering, electronic engineering, information engineering, Deep learning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, transfer learning, TK1-9971

Access URL: https://doaj.org/article/2a972c28b15a47019d55a73aa87f15df

A study of YOLO architectures for wildfire and smoke detection in ground and aerial imagery

Authors: Leo Thomas Ramos Edmundo Casas Cristian Romero et al.

Source: Results in Engineering, Vol 26, Iss , Pp 104869- (2025)

Subject Terms: Wildfire detection, Smoke detection, Object detection, Computer vision, Deep learning, YOLO, Technology

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025009454; https://doaj.org/toc/2590-1230

Access URL: https://doaj.org/article/06e00491dda6475fa85ead7e3264f0a9

Simulated fire observables as indicators for optimizing wireless sensor networks in wildfire risk monitoring

Authors: Juan Luis Gómez-González Effie Marcoulaki Alexis Cantizano et al.

Source: Ecological Indicators, Vol 175, Iss , Pp 113509- (2025)

Subject Terms: Wildfire simulation, Optimization, Early wildfire detection system, Wireless sensor network, NSGA-II, Ecology, QH540-549.5

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X2500439X; https://doaj.org/toc/1470-160X

Access URL: https://doaj.org/article/5af9ba8bc9d442589fe49bcb1016cc3b

Enhancing Wildfire Monitoring with SDGSAT-1: A Performance Analysis

Authors: Xinkun Zhu Guojiang Zhang Bo Xiang et al.

Source: Remote Sensing, Vol 17, Iss 19, p 3339 (2025)

Subject Terms: SDGSAT-1, wildfire detection, smoke, fire point, burned area, Science

File Description: electronic resource

Relation: https://www.mdpi.com/2072-4292/17/19/3339; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/933d824c04804fa5828b548564c2dee5

EcoWild: Reinforcement Learning for Energy-Aware Wildfire Detection in Remote Environments

Authors: Nuriye Yildirim Mingcong Cao Minwoo Yun et al.

Source: Sensors, Vol 25, Iss 19, p 6011 (2025)

Subject Terms: Wildfire detection, RL, energy-aware sensing, embedded systems, cyber-physical systems, solar-powered devices, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/19/6011; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/1c2fde97f5834960b2a17369f8bc1756

Current Trends in Wildfire Detection, Monitoring and Surveillance

Authors: Marin Bugarić Damir Krstinić Ljiljana Šerić et al.

Source: Fire, Vol 8, Iss 9, p 356 (2025)

Subject Terms: wildfire detection, wildfire monitoring, wildfire surveillance, validation, testing, integration, Physics, QC1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2571-6255/8/9/356; https://doaj.org/toc/2571-6255

Access URL: https://doaj.org/article/fae9b58926304915b54cddb36049965b

Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature

Authors: Lizhi Zhang Qiang Zhang Qianqian Yang et al.

Source: International Journal of Applied Earth Observations and Geoinformation, Vol 137, Iss , Pp 104416- (2025)

Subject Terms: Near-real-time wildfire detection, Multi-scale, Spatial–temporal feature fusion, Deep learning, Himawari-8/9, Physical geography, GB3-5030, Environmental sciences, GE1-350

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843225000639; https://doaj.org/toc/1569-8432

Access URL: https://doaj.org/article/53af077f76c34a3685c6d0306d3d24f5

ENHANCED CENTRAL NODE DESIGN FOR A WIRELESS WILDFIRE DETECTION SYSTEM WITH WIND MONITORING AND POWER OPTIMIZATION

Authors: Amin, Tony Mohapatra, Ankita Dofe, Jaya et al.

Contributors: Amin, Tony Mohapatra, Ankita Dofe, Jaya et al.

Subject Terms: wildfire detection system, wireless sensor network, wind monitoring, power optimization, IoT for environmental monitoring, RS485/Modbus communication

Relation: https://zenodo.org/communities/csuf/; https://zenodo.org/records/15442576; oai:zenodo.org:15442576; https://doi.org/10.5281/zenodo.15442576

Availability: https://doi.org/10.5281/zenodo.15442576
https://zenodo.org/records/15442576