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Toplam kayıt 78, listelenen: 71-78
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 ...
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 ...
American Stories: Paintings of Everyday Life, 1765-1915
(Rector Ciu Cyprus Int Univ, 2021)
[No Abstract Available]
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 ...
VERNE DAWSON BY JOHN HUTCHINSON
(2020)
[Asbtract Not Availavle]
A new approach for determining SARS-CoV-2 epitopes using machine learning-based in silico methods
(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 ...
Author and genre identification of Turkish news texts using deep learning algorithms
(Springer India, 2022)
Nowadays, the increasing amount of data has brought the need to classify the data. Text classification is the process of categorizing similar text data. This paper aims to make a modeling study for author and genre ...
An efficient regular expression inference approach for relevant image extraction
(Elsevier Ltd, 2023)
Traditional approaches for extracting relevant images automatically from web pages are error-prone and time-consuming. To improve this task, operations such as preparing a larger dataset and finding new features are used ...