A Hybrid Machine Learning Model for Forest Wildfire Detection using Sounds

QR Code

A Hybrid Machine Learning Model for Forest Wildfire Detection using Sounds

Saved in:

Bibliographic Details
Main Authors:	Robertas Damaševičius, Rytis Maskeliunas, Ahmad Qurthobi
Format:	Article
Language:	English
Published:	Polish Information Processing Society 2024-10-01
Series:	Annals of computer science and information systems
Online Access:	https://annals-csis.org/Volume_39/drp/pdf/7263.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

d'Alembert Convolution for Enhanced Spatio-Temporal Analysis of Forest Ecosystems
by: Rytis Maskeliūnas, et al.
Published: (2024-10-01)

BiLSTM with Data Augmentation using Interpolation Methods to Improve Early Detection of Parkinson Disease
by: Robertas Damaševičius, et al.
Published: (2020-09-01)

Lithuanian Author Profiling with the Deep Learning
by: Jurgita Kapočiūtė-Dzikienė, et al.
Published: (2018-09-01)

Efficient Transformer-Based Road Scene Segmentation Approach with Attention-Guided Decoding for Memory-Constrained Systems
by: Bartas Lisauskas, et al.
Published: (2025-05-01)

Leveraging wildfire to augment forest management and amplify forest resilience
by: Kristen L. Shive, et al.
Published: (2025-06-01)

Anomaly detection research using Isolation Forest in Machine Learning
by: A. S. Kechedzhiev, et al.
Published: (2024-04-01)

Wildfire Risk analysis using Flammap in Semi-Arid Mediterranean Forests
by: Gheffar Mohammed, et al.
Published: (2025-06-01)

Investigation of Lung Sounds Features for Detection of Bronchitis and COPD Using Machine Learning Methods
by: Г. С. Порєва, et al.
Published: (2021-03-01)

Balancing Complexity and Performance of Machine Learning Models for Avian Pests Sound Detection in Agricultural Environments
by: Micheline Kazeneza, et al.
Published: (2025-01-01)

Wildfire
by: Stern, Richard Martin, 1915-
Published: (1985)

Elevated Forest Canopy Loss After Wildfires in Moist and Cool Forests in the Pacific Northwest
by: Huilin Huang, et al.
Published: (2025-07-01)

Hybrid Backbone-Based Deep Learning Model for Early Detection of Forest Fire Smoke
by: Gökalp Çınarer
Published: (2025-06-01)

RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models
by: Muhammad Zain, et al.
Published: (2025-06-01)

Impacts of Wildfire Severity on Hydraulic Conductivity in Forest, Woodland, and Grassland Soils
by: Neary, Daniel G.
Published: (2011)

Hybrid feature selection framework for enhanced credit card fraud detection using machine learning models.
by: Al Mahmud Siam, et al.
Published: (2025-01-01)

Hybrid feature selection framework for enhanced credit card fraud detection using machine learning models
by: Al Mahmud Siam, et al.
Published: (2025-01-01)

Wildfire Front Monitoring With Multiple UAVs Using Deep Q-Learning
by: Alberto Viseras, et al.
Published: (2025-01-01)

Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer
by: Yuanhui Zhu, et al.
Published: (2025-06-01)

Comprehensive Monitoring of Wildfires in Europe: The European Forest Fire Information System (EFFIS)
by: San-Miguel-Ayanz, Jesús, et al.
Published: (2012)

Speech sound detection employing deep learning
by: Cezary Polak, et al.
Published: (2021-09-01)

Detecting Malicious URLs Using Classification Algorithms in Machine Learning and Deep Learning
by: Sira Astour, et al.
Published: (2025-07-01)

A Metric Learning-Based Improved Oriented R-CNN for Wildfire Detection in Power Transmission Corridors
by: Xiaole Wang, et al.
Published: (2025-06-01)

ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model
by: Y. Liu, et al.
Published: (2025-07-01)

Innovative Approaches to the Use of Artillery in Wildfire Suppression
by: Daniel Korec, et al.
Published: (2025-06-01)

Hybrid Model for Novel Attack Detection Using a Cluster-Based Machine Learning Classification Approach for the Internet of Things (IoT)
by: Naveed Ahmed, et al.
Published: (2025-05-01)

Improving Gestational Diabetes Detection in Pregnancy through Machine Learning Models
by: Ghazal Ishaq, et al.
Published: (2024-12-01)

Predicting Forest Evapotranspiration using Remote Sensing and Machine Learning
by: B. Yadav, et al.
Published: (2025-08-01)

Climate Change: Wildfire Impact
by: Dautbasic, Mirza, et al.
Published: (2011)

Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning
by: A. S. Kechedzhiev, et al.
Published: (2024-10-01)

Cooperative Drone and Water Supply Truck Scheduling for Wildfire Fighting Using Deep Reinforcement Learning
by: Lin-Yuan Bai, et al.
Published: (2025-06-01)

A Bibliometric Analysis of Virtual Reality Applications in Anthropology
by: Eugen Valentin Butilă, et al.
Published: (2025-07-01)

Estimates of gross domestic product in wildfire-affected areas during the 2023 and 2024 wildfire seasons
by: Matthew Brown, et al.
Published: (2025-06-01)

Wildfire crisis in Galicia in 2006: change in this spatial distribution model
by: José Balsa-Barreiro, Txomin Hermosilla y Rubén C. Lois González
Published: (2014-04-01)

Wildfire crisis in Galicia in 2006: change in this spatial distribution model
by: José Balsa-Barreiro, Txomin Hermosilla y Rubén C. Lois González
Published: (2014-04-01)

Detection of Fake News Using Deep Learning and Machine Learning
by: Gabriela CHIRIAC, et al.
Published: (2025-01-01)

Machine Learning- and Deep Learning-Based Multi-Model System for Hate Speech Detection on Facebook
by: Amna Naseeb, et al.
Published: (2025-06-01)

Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data
by: Mahdi Zareei, et al.
Published: (2025-01-01)

Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints
by: Daxing Lei, et al.
Published: (2025-06-01)

Environmental contstraints on forest harvesting in the Malborough Sounds /
by: Murphy, G. E.
Published: (1991)

A Context-Aware Android Malware Detection Approach Using Machine Learning
by: Mohammed N. AlJarrah, et al.
Published: (2022-11-01)