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original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2025―May―19 |
A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis |
Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As’ari, Vikrant Bhateja, Lila Iznita Izhar, Rajesh Kumar |
| 2 |
[GO] |
2024―Oct―23 |
Examining Emotional Reactions to the COVID-19 Crisis Through Twitter Data Analysis: A Comparative Study of Classification Techniques |
Saira Yaqub, Muhammad Shoaib, Abdul Jaleel, Syed Khaldoon Khurshid, Shazia Arshad, Riaz Ahmad Ziar, Nur Ezlin Zamri |
| 3 |
[GO] |
2023―Dec―22 |
An Intelligent Framework Based on Deep Learning for Online Quran Learning during Pandemic |
Natasha Nigar, Amna Wajid, Sunday Adeola Ajagbe, Matthew O. Adigun, Ahmad Al- omari |
| 4 |
[GO] |
2022―Nov―01 |
Time-Leveled Hypersoft Matrix, Level Cuts, Operators, and COVID-19 Collective Patient Health State Ranking Model |
Shazia Rana, Muhammad Saeed, Badria Almaz Ali Yousif, Florentin Smarandache, Hamiden Abd El-Wahed Khalifa, Imran Ashraf |
| 5 |
[GO] |
2022―Oct―20 |
Fast COVID-19 Detection from Chest X-Ray Images Using DCT Compression |
Fatma Taher, Reem T. Haweel, Usama M. H. Al Bastaki, Eman Abdelwahed, Tariq Rehman, Tarek I. Haweel, Francesco Carlo Morabito |
| 6 |
[GO] |
2022―Jul―07 |
COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers |
Syed Ali Jafar Zaidi, Indranath Chatterjee, Samir Brahim Belhaouari, Imran Ashraf |
| 7 |
[GO] |
2022―May―17 |
Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques |
Rami Mustafa A. Mohammad, Malak Aljabri, Menna Aboulnour, Samiha Mirza, Ahmad Alshobaiki, Manikandan Ramachandran |
| 8 |
[GO] |
2022―Jan―14 |
Ensemble Classifiers for Arabic Sentiment Analysis of Social Network (Twitter Data) towards COVID-19-Related Conspiracy Theories |
Abdullah Al-Hashedi, Belal Al-Fuhaidi, Abdulqader M. Mohsen, Yousef Ali, Hasan Ali Gamal Al-Kaf, Wedad Al-Sorori, et al. (+2) Naseebah Maqtary, Ridha Ejbali |
| 9 |
[GO] |
2021―Apr―29 |
Predicting the Number of COVID-19 Sufferers in Malang City Using the Backpropagation Neural Network with the Fletcher-Reeves Method |
Syaiful Anam, Mochamad Hakim Akbar Assidiq Maulana, Noor Hidayat, Indah Yanti, Zuraidah Fitriah, Dwi Mifta Mahanani, Wan Hanna Melini |
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