Başlık için Scopus İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 1770, listelenen: 1339-1358
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Power Spectrum Analysis of EEG for Watching 2D & 3D Videos and Resting State
(IEEE, 2018)Analysis of the brain waves has become useful over than 80 years. Along with the medical application, the brain signal is also used for other research works in the last fifteen years. In this study, by considering the depth ... -
Practices of Patient Relatives Aimed at Preventing Pressure Injuries and Their Experiences of Coping with the Burden of Care: A Qualitative Study
(2024)Objective: To determine the practices and coping experiences of the relatives of patients with pressure injuries (PIs). Methods: The authors used a qualitative, phenomenologic research design. They interviewed 20 relatives ... -
Preconcentration of Cd(II) and Cu(II) ions by coprecipitation without any carrier element in some food and water samples
(Elsevier Science Bv, 2011)A simple, rapid, sensitive and environmentally friendly separation and preconcentration procedure, based on the carrier element free coprecipitation (CEFC) of Cu(II) and Cd(II) ions by using an organic coprecipitant, ... -
Predicted current and future distribution of the fire salamander, Salamandra infraimmaculata in Turkey
(Arak university, 2022)Although the fire salamander, Salamandra infraimmaculata, is relatively distributed in a broad area in the Middle East, it lives in a narrow area in southeast and south Anatolia in Turkey. The habitats of the species have ... -
Predicting and Mapping Dominant Height of Oriental Beech Stands Using Environmental Variables in Sinop, Northern Turkey
(Predicting and Mapping Dominant Height of Oriental Beech Stands Using Environmental Variables in Sinop, Northern Turkey, 2023)The dominant height of forest stands (SDH) is an essential indicator of site productivity in operational forest management. It refers to the capacity of a particular site to support stand growth. Sites with taller dominant ... -
Predicting Stock Prices Using Machine Learning Methods and Deep Learning Algorithms: The Sample of the Istanbul Stock Exchange
(Gazi Univ, 2021)Stock market prediction in financial and commodity markets is a major challenge for speculators, investors, and companies but also profitable with an accurate prediction. Thus, obtaining accurate prediction results becomes ... -
Prediction of effect of fabrication parameters on the properties of B4C ceramic particle reinforced AA2024 matrix nanocomposites using neural networks
(Elsevier Ltd, June 2024)In the present study, a prediction model was created to predict the impact of B4C content, milling time and matrix size on the hardness and density of AA2024-B4C nanocomposites produced by means of flake powder metallurgy. ... -
Prediction of mine drainage generation potential and the prevention method of the groundwater pollution in the Gumuskoy (Kutahya) mineralization area, NW Turkey
(Science Press, 2020)One of the leading factors of seepage contamination is mine drainage, which creates serious ecological risks on the environment both during operation and post-mining times. In this study, experimental processes have been ... -
Prediction of offshore bar-shape parameters resulted by cross-shore sediment transport using neural network
(Elsevier Sci Ltd, 2013)In order to understand the features of coastal zone and to utilize the coastal areas, it is necessary to determine the sediment movement and the resulting transport. Waves, topographic features, and material properties are ... -
Prediction of pedal cyclists and pedestrian fatalities from total monthly accidents and registered private car numbers
(Warsaw University of Technology, 2015)Accident prevention is relatively a complex issue considering the effectiveness of the injury prevention technologies as well as more detailed assessment of the complex interactions between the road condition, vehicle and ... -
Prediction of the antimicrobial activity of walnut (Juglans regia L.) kernel aqueous extracts using artificial neural network and multiple linear regression
(Elsevier Science Bv, 2018)The mathematical model was established to determine the diameter of inhibition zone of the walnut extract on the twelve bacterial species. Type of extraction, concentration, and pathogens were taken as input variables. Two ... -
Prediction of wave parameters by using fuzzy inference system and the parametric models along the south coasts of the Black Sea
(Springer Japan Kk, 2014)Forecasting of sea-state characteristics has a great importance in coastal and ocean engineering studies. Therefore, the purpose of this study was to investigate performances of Adaptive-Network-Based Fuzzy Inference System ... -
PREDICTION SULPHURIC ACID AND WATER VAPOUR DEW POINT TEMPERATURES OF FLUE GASES AND COMBUSTION ANALYSIS FOR SOLID FUELS IN TURKEY
(Yildiz Technical Univ, 2021)In the study, the combustion analysis is examined for the solid fuels in Turkey. The principal aim of the analysis is determined the limits and obstacles in the design heat exchanger to avoid the corrosion risk on the heat ... -
Preface of Numerical Functional Analysis
(American Institute of Physics Inc., 2019)[No abstract available] -
Preliminary assessment of a yoghurt-like product manufactured from hazelnut slurry: Study using response surface methodology
(Elsevier Science Bv, 2015)The aim of this study was to evaluate the possibility of using hazelnut slurry in manufacture of yoghurt. A yoghurt-like product was prepared from hazelnut slurry fortified with skimmed milk powder. The effects of the total ... -
Preliminary investigation of yoghurt enriched with hazelnut milk
(Univ Putra Malaysia Press, 2019)The present work aimed to investigate the use of hazelnut milk (HM) with dairy milk in the preparation of yoghurt. Cow milk (CM) mixed with HM (75: 25, v/v) was used as the raw material for HM-enriched yoghurt (HMEY). The ... -
Preliminary investigations on two different procedures to calculate the efficiency and performance ratio of PV modules
(Springer, 2019)Short- and long-term outdoor performances of the photovoltaic (PV) modules are extremely important in reaching their economic viabilities. Such information is very valuable for the investors, customers and researchers of ...