| 1 |
[GO] |
2023―Aug―14 |
Rapid and Precise Identification of COVID-19 through Segmentation and Classification of CT and X-ray Images |
Ahmet SAYGILI |
| 2 |
[GO] |
2023―Feb―02 |
Time-series Forecasting of Energy Demand and Impact of the COVID-19 Pandemic on Model Performance in Electric Vehicles |
Pinar CİHAN |
| 3 |
[GO] |
2022―Nov―21 |
Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling |
Tolga KUYUCUK, Levent ÇALLI |
| 4 |
[GO] |
2022―Jul―24 |
Application with deep learning models for COVID-19 diagnosis |
Fuat TÜRK, Yunus KÖKVER |
| 5 |
[GO] |
2022―Apr―04 |
A comparative study on COVID-19 prediction using deep learning and machine learning algorithms: A case study on performance analysis |
Hilal ARSLAN, Orhan ER |
| 6 |
[GO] |
2021―Nov―15 |
Twitter Sentiment Analysis Based on Daily Covid-19 Table in Turkey |
Buket KAYA, Abdullah GÜNAY |
| 7 |
[GO] |
2020―Dec―22 |
Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process |
Ahmet Anıl MÜNGEN, İ̇̇rfan AYGÜN, Mehmet KAYA |
| 8 |
[GO] |
2020―Dec―20 |
Analysis of The Covid-19 Impact on Electricity Consumption and Production |
Mehmet BULUT |
| 9 |
[GO] |
2020―Dec―20 |
The Data Science Met with the COVID-19: Revealing the Most Critical Measures Taken for the COVID-19 Pandemic |
Abdullah Talha KABAKUŞ |
| 10 |
[GO] |
2020―Dec―10 |
Analysis of The Covid-19 Impact on Electricity Consumption and Production |
Mehmet BULUT |
