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Öğe Tarihi eserlerin korozyonu ve korunması(Mustafa Kemal Üniversitesi, 2018) Aydın, MahmutÖğe Karyotypes of some small mammals inhabiting the province of Diyarbakır Turkey(Mosul University, 2011) Ulutürk, Servet; Coşkun, Yüksel; El Naemy, A; Kaya, AlaettinÖğe Design of PV energy system in Batman Turkey(AIP Conf.Proc., 2017) Pakma, Nilay; Pakma, Osman; Güllü, ÖmerÖğe Nonlinear solutions of conformable fractional differential equations(2018) Turut, Veyis; Badur, SaraÖğe An efficient nonlinear technique for systems of fractional differential equations(Istanbul Gelisim University, 2017) Turut, Veyis; Bayram, MustafaÖğe Fabrication and electrical characterization of ZnO SiO2 p Si structure with outsized diode factor(European Union, 2010) Kavasoğlu, Neşe; Kavasoğlu, Abdülkadir Sertap; Pakma, Osman; Kabakçı, Murat; Birgi, Özcan; Oktik, ŞenerÖğe XVI. Yüzyıl'da Balkanlar'da birlikte yaşama kültürü: Alacahisar örneğinde(ISPEC Publishing, 2021-09) Alaca, HanifeÖğe Protection of archaeological sites and monements through satellite maps(2010) Aydın, Mahmut; Devecioğlu, ÜlküÖğe Determining relevant features in estimating short-term power load of a small house via feature selection by extreme learning machine(IEEE, 2017-11-02) Ertuğrul, Ömer Faruk; Sezgin, Necmettin; Öztekin, Abdulkerim; Tağluk, Mehmet EminEstimating short-term power load is a fundamental issue in the power distribution system. Since short-term power load is related to many parameters such as weather conditions, and time. The aim of this study is to determine the relevant parameters in estimating short-term power load not only in order to decrease the computational cost, but also to achieve higher success rates. Furthermore, by using selected features the required memory, equipment and communication costs are also decreased in real time applications. Feature selection by extreme learning machine method was used in determining relevant features. The short-term power loads of two houses (one of them has a power generation capability) were used in tests and achieved results showed lower error rates were obtained by using less number of features.Öğe Frequency dependent interface state properties of a schottky device based on coronene deposited on n-type silicon by spin coating technique(Ulusal Fotovoltaik Teknoloji Platformu, 2016) Yüksel, Ömer Faruk; Pakma, Osman; Tuğluoğlu, Nihat