نتایج جستجو برای: classification algorithms

تعداد نتایج: 788824  

Journal: :International Journal for Research in Applied Science and Engineering Technology 2021

Land cover is defined as the physical material of the surface of the earth, including different vegetation covers, bare soil, water surface, various urban areas, etc. Land cover and its changes are very important and influential on the Earth and life of living organisms, especially human beings. Land cover change monitoring is important for protecting the ecosystem, forests, farmland, open spac...

M. H. Sedaaghi,

Accurate gender classification is useful in speech and speaker recognition as well as speech emotion classification, because a better performance has been reported when separate acoustic models are employed for males and females. Gender classification is also apparent in face recognition, video summarization, human-robot interaction, etc. Although gender classification is rather mature in a...

Journal: :journal of advances in computer research 2013
vahid majidnezhad igor kheidorov

acoustic analysis is a proper method in vocal fold pathology diagnosis so that itcan complement and in some cases replace the other invasive, based on direct vocalfold observation, methods. there are different approaches and algorithms for vocalfold pathology diagnosis. these algorithms usually have three stages which arefeature extraction, feature reduction and classification. in this paper in...

Behzad Golmohamadi Hassan Fathizad Marzban Faramarzi, Nasibe Pakbaz

Using satellite imagery for the study of Earth's resources is attended by manyresearchers. In fact, the various phenomena have different spectral response inelectromagnetic radiation. One major application of satellite data is the classification ofland cover. In recent years, a number of classification algorithms have been developed forclassification of remote sensing data. One of the most nota...

Journal: :جنگل و فرآورده های چوب 0
اصغر فلاح دانشیار گروه علوم جنگل، دانشکدة منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران سیاوش کلبی دانشجوی دکتری گروه علوم جنگل، دانشکدة منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران شعبان شتایی دانشیار گروه جنگل‏داری، دانشکدة منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران امید کرمی دانشجوی دکتری گروه علوم جنگل، دانشکدة منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران

recognition equal units and segregation them and upshot planning per units most basic method for management forest units. aim this study presentation and comparison classification and regression tree (cart) and random forest (rf) algorithm for forest type mapping using aster satellite data in district one didactic and research forest's darabkola. in start using inventory network 500* 350 m...

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