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Fire Detection
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Detection of fire using multi-variate time series sensor data.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning
Light-YOLOv8-Flame: A Lightweight High-Performance Flame Detection Algorithm
Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data
ForestProtector: An IoT Architecture Integrating Machine Vision and Deep Reinforcement Learning for Efficient Wildfire Monitoring
TS-SatFire: A Multi-Task Satellite Image Time-Series Dataset for Wildfire Detection and Prediction
Context-Aware Detection of Mixed Critical Events using Video Classification
Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection
CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules
Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search
Synthetic imagery for fuzzy object detection: A comparative study
FireLite: Leveraging Transfer Learning for Efficient Fire Detection in Resource-Constrained Environments
A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications
EFA-YOLO: An Efficient Feature Attention Model for Fire and Flame Detection
Enhancing Tree Type Detection in Forest Fire Risk Assessment: Multi-Stage Approach and Color Encoding with Forest Fire Risk Evaluation Framework for UAV Imagery
Indoor Fire and Smoke Detection Using Soft-Voting Based Deep Ensemble Model
Image Processing Based Forest Fire Detection
SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification
Decision support system for Forest fire management using Ontology with Big Data and LLMs
FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion
Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection
Modelling wildland fire burn severity in California using a spatial Super Learner approach
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment
Fire Detection From Image and Video Using YOLOv5
E$^3$-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles
Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagery
Improved Active Fire Detection using Operational U-Nets
FSDNet-An efficient fire detection network for complex scenarios based on YOLOv3 and DenseNet
To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs
Image-Based Fire Detection in Industrial Environments with YOLOv4
Development Of A Fire Detection System On Satellite Images
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation
Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios
Semantic Sensor Network Ontology based Decision Support System for Forest Fire Management
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