Başlık için Çorlu Mühendislik Fakültesi Koleksiyonu listeleme
Toplam kayıt 990, listelenen: 758-777
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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 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 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 ... -
Prehistorik Çağlardan Modernizme Dansın Anlamı: Tasvirler Üzerinden İkonografik Bir Analiz
(2018)Dans olarak adlandırdığımız belirli bir düzende gerçekleştirilen ritmik hareketler bütünü,insanlık tarihinde, tarihöncesi çağlardan günümüze değin farklı anlamlar yüklenerek biçimsel vekavramsal bağlamda türemiş, değişmiş ... -
A Preliminary Model for Operant Conditioning of Rats in a Detection Task
(IEEE, 2016)In this study, we proposed a nonlinear probabilistic model to show how operant conditioning develops in rats trained to detect vibrotactile stimuli on their hindpaw glabrous skin. The model shows the dynamics of neural ... -
Preparation and characterization of chitosan/AMPS/kaolinite composite hydrogels for adsorption of methylene blue
(Springer Science and Business Media Deutschland GmbH, 2021)This study aims to evaluate a new synthesized composite hydrogel prepared by gamma radiation polymerization of chitosan (CS) and 2-acrylamido-2-methylpropane sulfonic acid (AMPS) with kaolinite. The enhancement of kaolinite ... -
Preparation and characterization of chitosan/hyaluronic acid/itaconic acid hydrogel composite to remove manganese in aqueous solution
(Desalination Publications, 2021)In this work, new hydrogel composites composed of chitosan (CS)/hyaluronic acid (HA)/itaconic acid (IA) were synthesized by gamma radiation. Triple combination was prepared using gamma rays (25 kGy) at ambient temperature ... -
Preparation and characterization of conducting hydrogels composite made of polyaniline, polyacrylamide and kaolin
(Elsevier Science Bv, 2018)In this work, clay minerals such as kaolin particles were embedded within the network of poly(acrylamide) hydrogel (PAAm) using free radical solution polymerization method. Aniline monomer was absorbed in the network of ... -
Preparation and characterization of PVDF-based nanocomposites
(wiley, 2014)Energy is of great importance in our lives. There might have been a time when people lived without it, but now, after we all got used to having it, it is almost impossible to survive without the energy. However, the energy ... -
Preparation and Characterization of Silver Cyclohexane Mono Carboxylate : ?-Cyclodextrine Inclusion Complexes and Obtaining Wash-Resistant Antibacterial Effect on Cotton Fabrics
(Korean Fiber Society, 2019)In this study, inclusion complexes were prepared according to kneading and physical mixing techniques at 1:1 and 1:2 (guest:host) mass ratios of silver cyclohexane mono carboxylate:?-cyclodextrin. Prepared complexes were ...
