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Toplam kayıt 13, listelenen: 1-10
Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the World
(Elsevier Ltd, 2021)
Coronavirus disease 2019 (COVID-2019) has spread rapidly all over the world and it is known that the most effective way to eliminate the disease is vaccination. Although the traditional vaccine development process is quite ...
Impact of the COVID-19 lockdowns on electricity and natural gas consumption in the different industrial zones and forecasting consumption amounts: Turkey case study
(Elsevier Ltd, 2022)
The COVID-19 lockdowns have adversely affected the national economies and caused fluctuations in the energy industry. This study examined how the lockdowns during the COVID-19 pandemic affected the amount of electricity ...
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 ...
The machine learning approach for predicting the number of intensive care, intubated patients and death: The COVID-19 pandemic in Turkey
(Yildiz Technical Univ, 2022)
The coronavirus infection outbreak started in Wuhan city, China, in December 2019 (COVID-19) and affected more than 200 countries in a year. The number of patients dying from and infected with COVID-19 is increasing at an ...
Yenidoğan kuzularda bilgisayar destekli tanı
(Pamukkale Univ, 2020)
In our country, the number of small ruminant animals is decreasing day by day due to various reasons. In parallel with the decrease in the number of small ruminants, significant decreases are seen in animal production. One ...
Modeling of atmospheric particulate matters via artificial intelligence methods
(Springer, 2021)
Nowadays, pollutants continue to be released into the atmosphere in increasing amounts with each passing day. Some of them may turn into more harmful forms by accumulating in different layers of the atmosphere at different ...
Deep Learning-Based Approach for Missing Data Imputation
(2020)
The missing values in the datasets are a problem that will decrease the machine learning performance. New methods arerecommended every day to overcome this problem. The methods of statistical, machine learning, evolutionary ...
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 ...
A novel ensemble fuzzy classification model in SARS-CoV-2 B-cell epitope identification for development of protein-based vaccine
(Elsevier Ltd, 2022)
B-cell epitope prediction research has received growing interest since the development of the first method. B-cell epitope identification with the aid of an accurate prediction method is one of the most important steps in ...
Oxidative stress in neonatal lambs and its relation to health status and passive colostral immunity
(Elsevier, 2022)
Oxidative stress (OS) related to birth in ruminants may increase susceptibility to diseases. However, information about the physiological changes related to OS in lambs is limited. This study was designed to evaluate changes ...