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Toplam kayıt 8, listelenen: 1-8
A Bayesian network model for prediction and analysis of possible forest fire causes
(Elsevier, 2019)
Possible causes of a forest fire ignition could be human-caused (arson, smoking, hunting, picnic fire, shepherd fire, stubble burning) or natural-caused (lightning strikes, power lines). Temperature, relative humidity, ...
Usage of Different Prior Distributions in Bayesian Vector Autoregressive Models
(Hacettepe Univ, Fac Sci, 2009)
In Bayesian vector autoregressive models, the Litterman or Minnesota Prior is widely used. However, in some cases, the Minnesota prior is not the best prior distribution that can be used. Thus, other prior distributions ...
Determining the Flat Sales Prices by Flat Characteristics Using Bayesian Network Models
(Springer, 2021)
There are various factors affecting flat sales prices. Various characteristics of a flat play an important role in determining its sales price. In this study, a machine learning based Bayesian network was built by a ...
Mapping the forest fire risk zones using artificial intelligence with risk factors data
(SPRINGER HEIDELBERG, 2022)
Geographical information system data has been used in forest fire risk zone mapping studies commonly. However, forest fires are caused by many factors, which cannot be explained only by geographical and meteorological ...
Analysis of the Relations Between Forestry Financial Supports and Forest Crimes
(PMC, 2022)
Forest crimes are among the serious threats destroying forests. To prevent the forest crimes there are various solutions proposed, such as fortification of the laws, increasing the penalties, or increasing the public ...
A comparison between the Bayesian network model and the logistic regression model in prevention of the defects on ceramic tiles
(Taylor and Francis Ltd., 2022)
One of the most important problems encountered in ceramic tile industry is defective product problem. Defective ceramics lead to loss of income and waste of resources in enterprises. However, it is generally unknown that ...
Fire behavior prediction with artificial intelligence in thinned black pine (Pinus nigra Arnold) stand
(Elsevier B.V., 2023)
Modeling forest fire behavior is very important for the effective control of forest fires and the setting up of necessary precautions before fires start. However, studies of forest fire behavior are complex studies that ...
Assessment of the effects of the biotic and abiotic harmful factors on the amount of industrial wood production with deep learning
(Springer Science and Business Media Deutschland GmbH, 2023)
The protection and sustainability of forest assets is possible with planned production of forest products to lead to minimum loss. One of the products obtained from forests is the industrial wood, which is the most important ...