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Toplam kayıt 9, listelenen: 1-9
A novel regression method for software defect prediction with kernel methods
(2013)
In this paper, we propose a novel method based on SVM to predict the number of defects in the files or classes of a software system. To model the relationship between source code similarity and defectiveness, we use SVM ...
Predictive vector quantization of 3-D polygonal mesh geometry by representation of vertices in local coordinate systems
(IEEE, 2005)
A large family of lossy 3-D mesh geometry compression schemes operate by predicting the position of each vertex from the coded neighboring vertices and encoding the prediction error vectors. In this work, we first employ ...
Investigating effects of milling conditions on cutting temperatures through analytical and experimental methods
(Elsevier Science SA, 2018-12)
Cutting temperatures in milling operations have a significant impact on tool wear, size and shape tolerances and residual stresses of the machined part. Prediction and measurement of cutting temperatures in milling, on the ...
Transient multi-domain thermal modeling of interrupted cutting with coated tools
(Springer Science and Business Media Deutschland GmbH, 2021-09)
Interrupted cutting operations, such as milling, produce fluctuating tool temperatures which directly affect the process outputs. Thus, prediction of cutting tool temperatures enables process planning, selection of materials ...
Çizge evrişim ağı kullanarak patojen-konak ağlarında protein etkileşim tahmini
(IEEE, 2021-06-09)
Proteinler yaşamsal faaliyetlerin gerçekleşmesinde kritik rol oynayan biyolojik moleküllerdir. Konak canlı proteinleri ile patojen proteinleri arasındaki etkileşimler patojenkonak etkileşim (PHI) ağlarını oluşturmaktadır. ...
Hotel sales forecasting with LSTM and N-BEATS
(IEEE, 2023-09-15)
Time series forecasting aims to model the change in data points over time. It is applicable in many areas, such as energy consumption, solid waste generation, economic indicators (inflation, currency), global warming (heat, ...
Reviewing the effects of spatial features on price prediction for real estate market: Istanbul case
(IEEE, 2022-09-16)
In the real estate market, spatial features play a crucial role in determining property appraisals and prices. When spatial features are considered, classification techniques have been rarely studied compared to regression, ...
Forecasting and analysis of energy consumption and waste generation in Antalya with SVR
(IEEE, 2023-12-24)
Antalya, a rapidly expanding coastal city in Türkiye, has experienced significant changes due to urbanization and increasing tourism activities. Comprehending tourism trends is crucial for the city's sustainable development ...
Graph convolutional network based virus-human protein-protein interaction prediction for novel viruses
(Elsevier Ltd, 2022-08-13)
Computational identification of human-virus protein-protein interactions (PHIs) is a worthwhile step towards understanding infection mechanisms. Analysis of the PHI networks is important for the determination of path-ogenic ...