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Toplam kayıt 110, listelenen: 1-10
A Novel Web Scraping Approach Using the Additional Information Obtained from Web Pages
(Institute of Electrical and Electronics Engineers Inc., 2020)
Web scraping is a process of extracting valuable and interesting text information from web pages. Most of the current studies targeting this task are mostly about automated web data extraction. In the extraction process, ...
Automatically Discovering Relevant Images From Web Pages
(Ieee-Inst Electrical Electronics Engineers Inc, 2020)
Web pages contain irrelevant images along with relevant images. The classification of these images is an error-prone process due to the number of design variations of web pages. Using multiple web pages provides additional ...
Adaptive modified artificial bee colony algorithms (AMABC) for optimization of complex systems
(Turkiye Klinikleri, 2020)
Complex systems are large scale and involve numerous uncertainties, which means that such systems tend to be expensive to operate. Further, it is difficult to analyze systems of this kind in a real environment, and for ...
A regular expression generator based on CSS selectors for efficient extraction from HTML pages
(Turkiye Klinikleri, 2020)
Cascading style sheets (CSS) selectors are patterns used to select HTML elements. They are often preferred in web data extraction because they are easy to prepare and have short expressions. In order to be able to extract ...
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
(Elsevier Ltd, 2021)
The COVID-19 outbreak has been causing a global health crisis since December 2019. Due to this virus declared by the World Health Organization as a pandemic, the health authorities of the countries are constantly trying ...
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 ...
The Analysis of Corporate Social Responsibility, Identification and Customer Orientation by Structural Equation Modelling and Artificial Intelligence
(Sage Publications India Pvt. Ltd, 2021)
When the successful businesses of today are examined, it is seen that the main factor in their success is the value they give to the customers rather than the production power. One of the most important factors in ensuring ...