Kurum Yazarı "Cihan, Pınar" Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed İçin Listeleme
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ARIMA-Based Forecasting of Total COVID-19 Cases in the USA and India
Cihan, Pınar (IEEE, 2021)The coronavirus pandemic first started in Wuhan, China. The pandemic then spread rapidly all over the world. The virus wreaked unprecedented havoc worldwide. Researchers are using a variety of mathematical and machine ... -
Deep Learning-Based Approach for Missing Data Imputation
Cihan, Pınar (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 ... -
Effect of Imputation Methods in the Classifier Performance
Cihan, Pınar; Kalıpsız, Oya; Gökçe, Erhan (2019)Missing values in a dataset present an important problem for almost any traditional and modernstatistical method since most of these methods were developed under the assumption that thedataset was complete. However, in the ... -
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
Cihan, Pınar (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 ... -
Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak
Cihan, Pınar (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 ... -
Impact of the COVID-19 lockdowns on electricity and natural gas consumption in the different industrial zones and forecasting consumption amounts: Turkey case study
Cihan, Pınar (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 ... -
The machine learning approach for predicting the number of intensive care, intubated patients and death: The COVID-19 pandemic in Turkey
Cihan, Pınar (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 ... -
Modeling of atmospheric particulate matters via artificial intelligence methods
Cihan, Pınar; Özel, Hüseyin; Özcan, Hüseyin Kurtuluş (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 ... -
A new approach for determining SARS-CoV-2 epitopes using machine learning-based in silico methods
Cihan, Pınar; Özger, Zeynep Banu (Elsevier Ltd, 2022)The emergence of machine learning-based in silico tools has enabled rapid and high-quality predictions in the biomedical field. In the COVID-19 pandemic, machine learning methods have been used in many topics such as ... -
A new heuristic approach for treating missing value: ABCIMP
Cihan, Pınar; Özger, Z.B. (Kauno Technologijos Universitetas, 2019)Missing values in datasets present an important problem for traditional and modern statistical methods. Many statistical methods have been developed to analyze the complete datasets. However, most of the real world datasets ... -
A novel ensemble fuzzy classification model in SARS-CoV-2 B-cell epitope identification for development of protein-based vaccine
Özger, Zeynep Banu; Cihan, Pınar (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
Gökçe, Erhan; Cihan, Pınar; Atakişi, Onur; Kırmızıgül, Ali Haydar; Erdoğ, Hidayet Metin (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 ... -
Performance Comparison of Machine Learning Models for Diabetes Prediction
Cihan, Pınar; Coşkun, Hakan (IEEE, 2021)Diabetes is a chronic disease that causes blood sugar to rise. This chronic disease can be cause mortality. There are different diagnoses and treatment methods for diabetes in the medical field. In addition, with the ... -
Prediction of Immunoglobulin G in Lambs with Artificial Intelligence Methods
Cihan, Pınar; Gökçe, E.; Atakişi, O.; Kirmizigül, A.H.; Erdoğan, H.M. (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
Cihan, Pınar; Gökçe, E.; Kalipsiz, Oya (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 ... -
Yenidoğan kuzularda bilgisayar destekli tanı
Cihan, Pınar; Kalipsiz, Oya; Gökçe, Erhan (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 ...