Nicel Veri Analiz ve Yorumlanması

Emil, Serap
Kondakçı, Yaşar
Kuru Çetin, Saadet
Taneri, Pervin Oya
Demirkasımoğlu, Nihan
Yılmaz, Kürşad
Demir, Kamile
Kurum, Gül
Arastaman, Gökhan
Erdoğan, Çetin


Quantitative flood risk assessment with application in Turkey
Keskin, Fatih; Şorman, Ali Ünal; Department of Geodetic and Geographical Information Technologies (2012)
Floods can result in enormous causalities and huge economic losses in urban and rural regions. In recent years, while assessing the damage, risk analysis and assessment has become an important tool in addressing uncertainty in flood hazards. The lack of knowledge about the water extend, water depth, water velocity and potential damage in case of flood increase the vulnerability of the people to disasters in the flood region. Especially this information is valuable for city planners and decision makers. In c...
Quantization based data hiding strategies with visual applications
Esen, Ersin; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2010)
The first explored area in this thesis is the proposed data hiding method, TCQ-IS. The method is based on Trellis Coded Quantization (TCQ), whose initial state selection is arbitrary. TCQ-IS exploits this fact to hide data. It is a practical multi-dimensional that eliminates the prohibitive task of designing high dimensional quantizers. The strength and weaknesses of the method are stated by various experiments. The second contribution is the proposed data hiding method, Forbidden Zone Data Hiding (FZDH), w...
Matematiksel Modelleme Nedir?
Mumcu, Filiz; Uslu, Nilüfer Atman; Yıldız, Bahadır; Sevinç, Şerife; Kaya, Gökhan (E-Kitap, 2019-11-01)
Prediction of protein subcellular localization based on primary sequence data
Özarar, Mert; Atalay, Mehmet Volkan; Department of Computer Engineering (2003)
Subcellular localization is crucial for determining the functions of proteins. A system called prediction of protein subcellular localization (P2SL) that predicts the subcellular localization of proteins in eukaryotic organisms based on the amino acid content of primary sequences using amino acid order is designed. The approach for prediction is to nd the most frequent motifs for each protein in a given class based on clustering via self organizing maps and then to use these most frequent motifs as features...
Nitel Araştırma Desenleri
Akar, Hanife (2019-11-01)
Citation Formats
S. Emil et al., Nicel Veri Analiz ve Yorumlanması. 2016, p. 575.