Yazar "0000-0003-4643-443X" için İstatistik Bölümü Koleksiyonu listeleme
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Analysis of the Relations Between Forestry Financial Supports and Forest Crimes
Sevinç, Volkan (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 ... -
Assessment of the effects of the biotic and abiotic harmful factors on the amount of industrial wood production with deep learning
Sevinç, Volkan (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 ... -
A comparison between the Bayesian network model and the logistic regression model in prevention of the defects on ceramic tiles
Sevinç, Volkan; Kırca, Meryem Merve (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 ... -
Determining the Flat Sales Prices by Flat Characteristics Using Bayesian Network Models
Sevinç, Volkan (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 ... -
Fire behavior prediction with artificial intelligence in thinned black pine (Pinus nigra Arnold) stand
Sevinç, Volkan; Küçük, Ömer (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 ... -
Mapping the forest fire risk zones using artificial intelligence with risk factors data
Sevinç, Volkan (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 ...