Fire behavior prediction with artificial intelligence in thinned black pine (Pinus nigra Arnold) stand

Küçük, Ömer; Sevinç, Volkan

doi:10.1016/j.foreco.2022.120707

Cited by 12 publications

(6 citation statements)

References 61 publications

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“…The results of the observations will later be attached according to the research methods carried out (Kucuk & Sevinc, 2023;Kumar et al, 2017), In the results, the concept of character education has become an educational vision for the campus that was studied. This is proven by the campus regulations that were observed, including that members of the campus environment must comply with campus regulations as a form of increasing individual discipline, which will later be able to provide an overview.…”

Section: Resultsmentioning

confidence: 99%

Character Education Strategy In Improving Student Discipline At Islamic State University Higher Education Mahmud Yunus Batusangkar

Putri

2023

J. Neosantara Hybrid Learning

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The vulnerability of knowledge about discipline in the world of education today is the result of a lack of respect for others. Therefore, it is necessary to instill character education to make improvements in students so that it becomes a form of disciplined assessment of character formation in the educational environment. The role of character improvement in education is the aim of the author's research to analyze the extent to which character is implemented as a form of improving moral discipline among Islamic State University Higher Education Mahmud Yunus Batusangkar students. This research is a type of qualitative descriptive research with data collection taken from field observations carried out by researchers regarding the 3 option assessments observed and interview techniques. From the results of the research, it was found that the application of the options observed was able to provide increased discipline in students. The results of this observation were also supported by an interview process which provided views on whether the application of student character was able to instill discipline towards others. Therefore, the conclusion in this research is that it is able to provide an allocation if Islamic State University Higher Education Mahmud Yunus Batusangkar students have implemented maximum character education, thereby creating students who have moral character and high discipline

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Section: Resultsmentioning

confidence: 99%

Character Education Strategy In Improving Student Discipline At Islamic State University Higher Education Mahmud Yunus Batusangkar

Putri

2023

J. Neosantara Hybrid Learning

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“…• Fire behavior modeling: This technique involves using mathematical models to simulate the spread and behavior of a fire. Models can take into account factors such as topography, fuel characteristics and weather conditions to predict fire behavior (Kucuk and Sevinc, 2023;Alkhatib, 2013) • Fire behavior assessment: This technique involves direct observation and analysis of a fire to assess its behavior. Firefighters and fire behavior analysts use visual cues such as flame length, smoke color and wind direction to assess the fire's behavior and predict its spread (Andrews, 1986) • Fuel mapping: This technique involves creating detailed maps of the types and distribution of fuels in an area to predict the potential behavior of a fire.…”

Section: Forest Fire Behaviour Analysis Techniquesmentioning

confidence: 99%

Advances in Forest Fire Detection, Prediction and Behavior: A Comprehensive Survey

Alkhatib,

Jaber

2024

Journal of Computer Science

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Forest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. It covers ground-based and aerial surveillance systems, remote sensing technologies, machine learning-based approaches and social media-based systems. The paper also discusses the challenges and limitations of current systems and provides insights into future directions for research and development in this field. Overall, this study highlights the importance of leveraging multiple data sources and analysis methods to improve our understanding of forest fire behavior and develop effective strategies for managing this environmental threat.

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“…This synergy of diverse technologies and active involvement from the community forms a robust framework for identifying and preventing forest fires. The following provides a concise summary of some of the current methods for achieving this objective: [20]. In summary, forest fire prediction techniques draw upon a combination of diverse data sources and analysis methods to establish a comprehensive understanding of the risk of forest fires.…”

Section: Introductionmentioning

confidence: 99%

Exploring Progress in Forest Fire Detection, Prediction, and Behavior: An In-Depth Survey

Alkhatib,

Jaber,

Alzo’by

et al. 2024

IJCDS

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Forest fires present a substantial environmental challenge, constituting a dual menace to human life and ecological well-being. The imperative for forest fire prevention and management underscores the indispensability of robust detection, prediction, and behavior analysis systems. This scholarly paper offers a thorough exploration of diverse methodologies and techniques employed in the realms of forest fire detection, prediction, and behavior analysis. Encompassing both ground-based and aerial surveillance systems, as well as remote sensing technologies, machine learning-based approaches, and social media-driven systems, the survey provides a comprehensive overview of the multifaceted landscape of forest fire monitoring. In addition to delineating the current state of the art, the paper critically examines the challenges and limitations inherent in existing systems. Furthermore, it imparts valuable insights into prospective avenues for research and development within this domain. In essence, this paper underscores the significance of amalgamating data from various sources and employing diverse analytical methods to enhance our comprehension of forest fire behavior. The overarching goal is to foster the formulation of efficacious strategies for mitigating the impact of this environmental menace.

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Fire behavior prediction with artificial intelligence in thinned black pine (Pinus nigra Arnold) stand

Cited by 12 publications

References 61 publications

Character Education Strategy In Improving Student Discipline At Islamic State University Higher Education Mahmud Yunus Batusangkar

Character Education Strategy In Improving Student Discipline At Islamic State University Higher Education Mahmud Yunus Batusangkar

Advances in Forest Fire Detection, Prediction and Behavior: A Comprehensive Survey

Exploring Progress in Forest Fire Detection, Prediction, and Behavior: An In-Depth Survey

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