Konu "artificial intelligence" için Çorlu Mühendislik Fakültesi Koleksiyonu listeleme
Toplam kayıt 6, listelenen: 1-6
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Application of Al models for predicting properties of mortars incorporating waste powders under Freeze-Thaw condition
(Techno-Press, 2022)The usability of waste materials as raw materials is necessary for sustainable production. This study investigates the effects of different powder materials used to replace cement (0%, 5% and 10%) and standard sand (0%, ... -
Comparison of artificial intelligence methods for predicting compressive strength of concrete
(Croatian Soc Civil Engineers-Hsgi, 2021)Compressive strength of concrete is an important parameter in concrete design. Accurate prediction of compressive strength of concrete can lower costs and save time. Therefore, thecompressive strength of concrete prediction ... -
Developing a GMDH-type neural network model for spatial prediction of NOx : A case study of Çerkezköy, Tekirdağ
(2022)Air pollution-induced issues involve public health, environmental, agricultural and socio-economic aspects. Therefore, decision-makers need low-cost, efficient tools with high spatiotemporal representation for monitoring ... -
Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak
(Institute of Electrical and Electronics Engineers Inc., 2020)The Covid-19 outbreak appeared in Wuhan in December 2019 and spread rapidly all over the world. The Covid-19 disease does not yet have a clinically proven vaccine and drug for treatment. The most important physical factors ... -
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 ... -
A review on determination of computer aid diagnosis and/or risk factors using data mining methods in veterinary field
(Ataturk Universitesi, 2019)Data mining is an interdisciplinary field. In this field, statistical analysis techniques and artificial intelligence algorithms are used. Thanks to the algorithms used, hidden information within the data is revealed and ...