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Toplam kayıt 6779, listelenen: 4986-5005
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The Predication of Relationship Between Harvesting Moisture Content and the Most Convenient Rice Moisture After Drying to Obtained the Highest Head Rice Yield When Rice is Dried in Drying Machine
(Univ Namik Kemal, 2006)Rice is dried after harvesting and milled before consumption. But cracklings occur on rice while rice is being dried with hot weather. Depending on cracking amount milling rice yield will be high or low. In order to minimize ... -
Predictability of the Mechanical Properties of Glass Fibrous Mortar
(Springer Heidelberg, 2022)The features expected from traditional building materials in the construction industry vary, as the needs become too complex. For this reason, fibers are used in the production of concrete or mortar. However, the predictability ... -
Predicting CO and NOx emissions from gas turbines: novel data and a benchmark PEMS
(Tubitak Scientific & Technical Research Council Turkey, 2019)Predictive emission monitoring systems (PEMS) are important tools for validation and backing up of costly continuous emission monitoring systems used in gas-turbine-based power plants. Their implementation relies on the ... -
Predicting depression and emotions in the cross-roads of cultures, para-linguistics, and non-linguistics
(Association for Computing Machinery, Inc, 2019)Cross-language, cross-cultural emotion recognition and accurate prediction of affective disorders are two of the major challenges in affective computing today. In this work, we compare several systems for Detecting Depression ... -
Predicting properties of single jersey fabrics using regression and artificial neural network models
(Korean Fiber Soc, 2012)In our previous works, we had predicted cotton ring yarn properties from the fiber properties successfully by regression and ANN models. In this study both regression and artificial neural network has been applied for the ... -
Predicting the Direction of Movement for Stock Price Index Using Machine Learning Methods
(Springer-Verlag Berlin, 2016)Stock price prediction with high accuracy may offer significant opportunities for the investors who make decisions on making profit or having high gains over the stocks in stock markets. The aim of this study is to predict ... -
Prediction of clinical outcomes of single- and double-bundle anterior cruciate ligament reconstruction techniques using magnetic resonance imaging
(Turkish Assoc Trauma Emergency Surgery, 2021)BACKGROUND: The objective of the study is to compare the clinical results of the single-bundle (SB) and double-bundle (DB) anterior cruciate ligament (ACL) repairing techniques using magnetic resonance imaging (MRI). ... -
Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods
(Hindawi Limited, 2019)Machine learning methods have been successfully applied to many engineering disciplines. Prediction of the concrete compressive strength (fc) and slump (S) is important in terms of the desirability of concrete and its ... -
Prediction of Football Match Results in Turkish Super League Games
(Springer-Verlag Berlin, 2016)This paper presents a model that predicts the results (Home Win/Draw/Away Win) of the football matches played in the Turkish Super League, by using three machine learning classification methods, which are Support Vector ... -
Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods
(Elsevier Sci Ltd, 2014)Predicting full load electrical power output of a base load power plant is important in order to maximize the profit from the available megawatt hours. This paper examines and compares some machine learning regression ... -
Prediction of heat transfer characteristics in a microchannel with vortex generators by machine learning
(Walter De Gruyter Gmbh, 2023)Because of the prompt improvements in Micro-Electro-Mechanical Systems, thermal management necessities have altered paying attention to the compactness and high energy consumption of actual electronic devices in industry. ... -
Prediction of Immunoglobulin G in Lambs with Artificial Intelligence Methods
(Veteriner Fakultesi Dergisi, 2021)The health, mortality and morbidity rates of neonatal ruminants depend on colostrum quality and the amount of Immunoglobulin G (IgG) absorbed. Computer-aided estimates are important as measuring IgG concentration with ... -
Prediction of Photovoltaic Panel Power Outputs Using Time Series and Artificial Neural Network Methods
(2021)Solar energy is one of the renewable energy sources that has been in high demand in the last decades. With theincreasing penetration of photovoltaic (PV) systems in around the world, accurate estimation of the power outputof ... -
Prediction of Possible Factors That Affect Stone-Free Rate of Retrograde Intrarenal Surgery; a Multicenter Study
(2020)Aim: The aim of the study was to evaluate possible factors predicting stone-free status at retrograde intrarenal surgery for renal stones.Materials and Methods: A retrospective multicenter study was performed using data ... -
Prediction of satisfaction indicators increasing the level of happiness: evidence from the Turkish life satisfaction survey
(Springer Science and Business Media B.V., 2022)Research on happiness, in the meaning of the ultimate goal of people’s lives, dates back to ancient times. Living well and creating suitable conditions to achieve happiness are essential issues in one’s life. However, ... -
Prediction of Thermal Resistance of the Knitted Fabrics in Wet State By Using Multiple Regression Analysis
(Ege Univ, 2014)Thermal properties of fabric depend on fabric construction parameters such as fiber and yarn type, fabric thickness etc. and also moisture content present. As the moisture content of the fabrics increase thermal properties ... -
Prediction of Undrained Shear Strength by the GMDH-Type Neural Network Using SPT-Value and Soil Physical Properties
(MDPI, 2022)This study presents a novel method for predicting the undrained shear strength (c(u)) using artificial intelligence technology. The c(u) value is critical in geotechnical applications and difficult to directly determine ... -
Prediction of Various Functional Finishing Treatments Using Artificial Neural Networks
(Korean Fiber Soc, 2011)In this study, in order to produce different water-oil repellent and wrinkle resistant fabrics, 21 different kinds of blended woven fabrics were treated (padded and transfered) with both classic and nano chemicals according ... -
Prediction of Wall Thickness Distribution in Simple Thermoforming Moulds
(Assoc Mechanical Engineers Technicians Slovenia, 2014)Thermoforming is widely used in manufacturing industries to produce large and labour-intensive products. Compared to other manufacturing techniques, thermoforming is an extremely efficient process that is suitable for ... -
Predictive and prognostic impact of preoperative complete blood count based systemic inflammatory markers in testicular cancer
(Brazilian Soc Urol, 2020)Purpose: To determine the utility of preoperative complete blood count (CBC) based systemic inflammatory markers in the prediction of testicular cancer and its prognosis. Material and Methods: Between 2008-2017 the data ...