| |
Original Artikel |
Datum |
Titel |
Autoren Max. 6 Autoren |
| 1 |
[GO] |
2026―Jun―13 |
Tuberculosis and COVID-19 severity assessment in computed tomography images: a multi-model deep learning approach |
David Olayemi Alebiosu, Chern Hong Lim, Anuja Dharmaratne |
| 2 |
[GO] |
2026―Jun―01 |
MVC: a multi-task vision transformer network for COVID-19 diagnosis from chest X-ray images |
Huyen Tran, Duc Thanh Nguyen, John Yearwood |
| 3 |
[GO] |
2026―Mrz―09 |
Covid-19 lung infection diagnosis model using parallel and cascaded CNN architecture based on M-blocks and modified U-Net |
Mahmoud Khaled Abd-Ellah, Asmaa Mohamed, Gerges M. Salama |
| 4 |
[GO] |
2026―Mrz―06 |
Universal COVID-19 time series patterns model for confirmed and death cases forecasting using transfer learning |
Paisit Khanarsa, Satanat Kitsiranuwat |
| 5 |
[GO] |
2026―Jan―24 |
DALEK: combining deep active learning and explanations methods for fake news detection on COVID-19 |
Carmela Comito, Massimo Guarascio, Angelica Liguori, Francesco Sergio Pisani |
| 6 |
[GO] |
2026―Jan―17 |
Dimensionality reduced clustering of SARS-CoV-2 for geographic genetic variability using neural network |
D Sudhagar, S. Umamaheswari, A. B. Feroz Khan, Mohammed Muzaffar Hussain |
| 7 |
[GO] |
2025―Okt―31 |
A different perspective on the diagnosis of COVID-19 disease with the developed quadstar local binary pattern method |
Mehmet Gül |
| 8 |
[GO] |
2025―Sep―30 |
Evaluation of High Line city park user satisfaction with machine learning: COVID-19 process year-based sentiment analysis |
Şeyma Yiğit Uzunali, Alper Uzunali |
| 9 |
[GO] |
2025―Sep―14 |
Unveiling epidemic dynamics: harnessing the synergy of social media data and mobility patterns during COVID-19 |
Eugenio Cesario, Carmela Comito |
| 10 |
[GO] |
2025―Apr―26 |
Efficient and lightweight CNN model for COVID-19 diagnosis from CT and X-ray images using customized pruning and quantization techniques |
Nattavut Sriwiboon |
| 11 |
[GO] |
2024―Dez―19 |
Simultaneous segmentation and classification of lung CT scans for COVID-19 diagnosis: a deep multi-task learning perspective |
Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi |
| 12 |
[GO] |
2024―Sep―23 |
Accurate segmentation of COVID-19 infected regions in lung CT scans with deep learning |
U Lenin Marksia, C Yesubai Rubavathi |
| 13 |
[GO] |
2024―Sep―21 |
Simulation of fractional order mathematical model of robots for detection of coronavirus using Levenberg-Marquardt backpropagation neural network |
Zulqurnain Sabir, Mohamed R. Ali, R. Sadat |
| 14 |
[GO] |
2024―Sep―20 |
StackGridCov: a robust stacking ensemble learning-based model integrated with GridSearchCV hyperparameter tuning technique for mutation prediction of COVID-19 virus |
Mehmet Burukanli, Nejat Yumuşak |
| 15 |
[GO] |
2024―Aug―23 |
A Siamese neural network-based diagnosis of COVID-19 using chest X-rays |
Engin Tas, Ayca Hatice Atli |
| 16 |
[GO] |
2024―Aug―08 |
Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants with stacked sparse autoencoders |
Maria G. F. Coutinho, Gabriel B. M. Câmara, Raquel de M. Barbosa, Marcelo A. C. Fernandes |
| 17 |
[GO] |
2024―Jul―24 |
ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection |
Kemal Akyol |
| 18 |
[GO] |
2024―Mai―27 |
Training neuro-fuzzy using flower pollination algorithm to predict number of COVID-19 cases: situation analysis for twenty countries |
Ceren Baştemur Kaya, Ebubekir Kaya |
| 19 |
[GO] |
2024―Mai―03 |
Numerical reasoning reading comprehension on Vietnamese COVID-19 news: task, corpus, and challenges |
Kiet Van Nguyen, Thang Viet Le, Tinh Pham-Phuc Do |
| 20 |
[GO] |
2024―Apr―20 |
MCHIAO: a modified coronavirus herd immunity-Aquila optimization algorithm based on chaotic behavior for solving engineering problems |
Heba Selim, Amira Y. Haikal, Labib M. Labib, Mahmoud M. Saafan |
| 21 |
[GO] |
2024―Mrz―08 |
Spread patterns of COVID-19 in European countries: hybrid deep learning model for prediction and transmission analysis |
Anıl Utku, M. Ali Akcayol |
| 22 |
[GO] |
2024―Feb―26 |
CovLIS-MUnet segmentation model for Covid-19 lung infection regions in CT images |
Manju Devi, Sukhdip Singh, Shailendra Tiwari |
| 23 |
[GO] |
2024―Feb―22 |
COVID-19 drug repurposing model based on pigeon-inspired optimizer and rough sets theory |
Ibrahim Gad, Mohamed Torky, Yaseen A. M. M. Elshaier, Ashraf Darwish, Aboul Ella Hassanien |
| 24 |
[GO] |
2024―Feb―20 |
BO-SHAP-BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities |
Choujun Zhan, Lingfeng Miao, Junyan Lin, Minghao Tan, Kim Fung Tsang, Tianyong Hao, Hu Min, Xuejiao Zhao |
| 25 |
[GO] |
2023―Dez―29 |
COVID-19 classification based on a deep learning and machine learning fusion technique using chest CT images |
Gerges M. Salama, Asmaa Mohamed, Mahmoud Khaled Abd-Ellah |
| 26 |
[GO] |
2023―Dez―24 |
Multi-national CT image-label pairs synthesis for COVID-19 diagnosis via few-shot generative adversarial networks adaptation |
Jing Zhang, Yingpeng Xie, Dandan Sun, Ruidong Huang, Tianfu Wang, Baiying Lei, Kuntao Chen |
| 27 |
[GO] |
2023―Dez―12 |
Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population |
Tiago D. Martins, Sandra D. Martins, Silmara Montalvão, Mohamad Al Bannoud, Gabriel Y. Ottaiano, Letícia Q. Silva, Stephany C. Huber, Tassiana S. P. Diaz, Carolina Wroclawski, Cyrillo Cavalheiro Filho, Rubens Maciel-Filho, Joyce M. Annichino-Bizzacchi |
| 28 |
[GO] |
2023―Dez―04 |
Genetic-efficient fine-tuning with layer pruning on multimodal Covid-19 medical imaging |
Walaa N. Ismail, Hessah A. Alsalamah, Ebtsam A. Mohamed |
| 29 |
[GO] |
2023―Sep―12 |
A gradient boosting-based mortality prediction model for COVID-19 patients |
Sinem Bozkurt Keser, Kemal Keskin |
| 30 |
[GO] |
2023―Sep―08 |
A novel graph-based multi-view spectral clustering: application to X-ray image analysis for COVID-19 recognition |
F. Dornaika, V. Truong Hoang |
| 31 |
[GO] |
2023―Jul―24 |
Online diagnosis of COVID-19 from chest radiography images by using deep learning algorithms |
Cafer Budak, Vasfiye Mençik, Osman Varışlı |
| 32 |
[GO] |
2023―Jul―14 |
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning |
Chendong Ma, Jun Song, Yibo Xu, Hongwei Fan, Xiaoran Liu, Xing Wu, Yang Luo, Tuo Sun, Jiemin Xie |
| 33 |
[GO] |
2023―Jul―07 |
A fuzzy approach for prioritization of pharmacies to improve mask distribution process during COVID-19 pandemic-a pilot study for İstanbul |
Melike Erdoğan |
| 34 |
[GO] |
2023―Jun―27 |
Scientometric analysis of ICT-assisted intelligent control systems response to COVID-19 pandemic |
Sandeep Kumar Sood, Keshav Singh Rawat, Dheeraj Kumar |
| 35 |
[GO] |
2023―Mai―31 |
Analysing sentiment change detection of Covid-19 tweets |
Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos |
| 36 |
[GO] |
2023―Mai―27 |
A survey on deep learning models for detection of COVID-19 |
Javad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi |
| 37 |
[GO] |
2023―Mai―11 |
IoT-based health monitoring system to handle pandemic diseases using estimated computing |
Lidia Ogiela, Arcangelo Castiglione, Brij B. Gupta, Dharma P. Agrawal |
| 38 |
[GO] |
2023―Mai―05 |
Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches |
Bahareh Rezazadeh, Parvaneh Asghari, Amir Masoud Rahmani |
| 39 |
[GO] |
2023―Mai―04 |
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data |
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Maqsud Hossain |
| 40 |
[GO] |
2023―Mai―02 |
MOCOVIDOA: a novel multi-objective coronavirus disease optimization algorithm for solving multi-objective optimization problems |
Asmaa M. Khalid, Hanaa M. Hamza, Seyedali Mirjalili, Khaid M. Hosny |
| 41 |
[GO] |
2023―Mai―02 |
A new Covid-19 diagnosis strategy using a modified KNN classifier |
Asmaa H. Rabie, Alaa M. Mohamed, M. A. Abo-Elsoud, Ahmed I. Saleh |
| 42 |
[GO] |
2023―Apr―28 |
A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module |
Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin |
| 43 |
[GO] |
2023―Apr―19 |
Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks |
Iyad Abu Doush, Mohammed A. Awadallah, Mohammed Azmi Al-Betar, Osama Ahmad Alomari, Sharif Naser Makhadmeh, Ammar Kamal Abasi, Zaid Abdi Alkareem Alyasseri |
| 44 |
[GO] |
2023―Mrz―24 |
Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis |
Zhongliang Li, Xuechen Li, Zhihao Jin, Linlin Shen |
| 45 |
[GO] |
2023―Mrz―15 |
Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images |
M. Emin Sahin, Hasan Ulutas, Esra Yuce, Mustafa Fatih Erkoc |
| 46 |
[GO] |
2023―Mrz―09 |
A novel metaheuristic algorithm inspired by COVID-19 for real-parameter optimization |
Soleiman Kadkhoda Mohammadi, Daryoush Nazarpour, Mojtaba Beiraghi |
| 47 |
[GO] |
2023―Feb―21 |
Evaluation of EfficientNet models for COVID-19 detection using lung parenchyma |
Zuhal Kurt, Şahin Işık, Zeynep Kaya, Yıldıray Anagün, Nizameddin Koca, Sümeyye Çiçek |
| 48 |
[GO] |
2023―Feb―06 |
Evaluating deep learning predictions for COVID-19 from X-ray images using leave-one-out predictive densities |
Sergio Hernández, Xaviera López-Córtes |
| 49 |
[GO] |
2023―Jan―24 |
Lightweight ResGRU: a deep learning-based prediction of SARS-CoV-2 (COVID-19) and its severity classification using multimodal chest radiography images |
Mughees Ahmad, Usama Ijaz Bajwa, Yasar Mehmood, Muhammad Waqas Anwar |
| 50 |
[GO] |
2022―Dez―15 |
A residual network-based framework for COVID-19 detection from CXR images |
Hareem Kibriya, Rashid Amin |
| 51 |
[GO] |
2022―Dez―01 |
Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation |
Mohammad Hashem Ryalat, Osama Dorgham, Sara Tedmori, Zainab Al-Rahamneh, Nijad Al-Najdawi, Seyedali Mirjalili |
| 52 |
[GO] |
2022―Nov―23 |
Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age |
Choujun Zhan, Wei Jiang, Hu Min, Ying Gao, C. K. Tse |
| 53 |
[GO] |
2022―Nov―17 |
Explaining COVID-19 diagnosis with Taylor decompositions |
Mohammad Mehedi Hassan, Salman A. AlQahtani, Abdulhameed Alelaiwi, João P. Papa |
| 54 |
[GO] |
2022―Nov―13 |
Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak |
Deepika Varshney, Dinesh Kumar Vishwakarma |
| 55 |
[GO] |
2022―Nov―04 |
Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19 |
Binrong Wu, Lin Wang, Rui Tao, Yu-Rong Zeng |
| 56 |
[GO] |
2022―Okt―15 |
Multiobjective problem modeling of the capacitated vehicle routing problem with urgency in a pandemic period |
Mehmet Altinoz, O. Tolga Altinoz |
| 57 |
[GO] |
2022―Sep―23 |
Multilevel thresholding satellite image segmentation using chaotic coronavirus optimization algorithm with hybrid fitness function |
Khalid M. Hosny, Asmaa M. Khalid, Hanaa M. Hamza, Seyedali Mirjalili |
| 58 |
[GO] |
2022―Sep―20 |
Classification of Covid-19 misinformation on social media based on neuro-fuzzy and neural network: A systematic review |
Bhavani Devi Ravichandran, Pantea Keikhosrokiani |
| 59 |
[GO] |
2022―Sep―19 |
Machine learning techniques for CT imaging diagnosis of novel coronavirus pneumonia: a review |
Jingjing Chen, Yixiao Li, Lingling Guo, Xiaokang Zhou, Yihan Zhu, Qingfeng He, Haijun Han, Qilong Feng |
| 60 |
[GO] |
2022―Aug―26 |
COVIDOA: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle |
Asmaa M. Khalid, Khalid M. Hosny, Seyedali Mirjalili |
| 61 |
[GO] |
2022―Aug―06 |
Automatic segmentation of COVID-19 from computed tomography images using modified U-Net model-based majority voting approach |
Murat Uçar |
| 62 |
[GO] |
2022―Aug―06 |
Multiclass sentiment analysis on COVID-19-related tweets using deep learning models |
Sotiria Vernikou, Athanasios Lyras, Andreas Kanavos |
| 63 |
[GO] |
2022―Jul―24 |
Real-time internet of medical things framework for early detection of Covid-19 |
Emre Yildirim, Murtaza Cicioğlu, Ali Çalhan |
| 64 |
[GO] |
2022―Jun―10 |
Machine learning applications for COVID-19 outbreak management |
Arash Heidari, Nima Jafari Navimipour, Mehmet Unal, Shiva Toumaj |
| 65 |
[GO] |
2022―Mai―31 |
COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm |
Luning Bi, Mohammad Fili, Guiping Hu |
| 66 |
[GO] |
2022―Mai―11 |
Statistical analysis of blood characteristics of COVID-19 patients and their survival or death prediction using machine learning algorithms |
Rahil Mazloumi, Seyed Reza Abazari, Farnaz Nafarieh, Amir Aghsami, Fariborz Jolai |
| 67 |
[GO] |
2022―Apr―19 |
Leveraging deep learning for COVID-19 diagnosis through chest imaging |
Yashika Khurana, Umang Soni |
| 68 |
[GO] |
2022―Mrz―14 |
A neural network-based model for estimating the delivery time of oxygen gas cylinders during COVID-19 pandemic |
Ahmed M. Ghaithan, Ibrahim Alarfaj, Awsan Mohammed, Osaid Qasim |
| 69 |
[GO] |
2022―Mrz―01 |
AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia |
Hemant Ghayvat, Muhammad Awais, A. K. Bashir, Sharnil Pandya, Mohd Zuhair, Mamoon Rashid, Jamel Nebhen |
| 70 |
[GO] |
2022―Feb―28 |
COVID-19 diagnosis on CT images with Bayes optimization-based deep neural networks and machine learning algorithms |
Murat Canayaz, Sanem Şehribanoğlu, Recep Özdağ, Murat Demir |
| 71 |
[GO] |
2022―Jan―24 |
VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm |
Abdulkadir Karacı |
| 72 |
[GO] |
2022―Jan―08 |
Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approach |
Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino |
| 73 |
[GO] |
2022―Jan―07 |
An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19 |
Fatih Ecer |
| 74 |
[GO] |
2022―Jan―05 |
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays |
Ashis Paul, Arpan Basu, Mufti Mahmud, M. Shamim Kaiser, Ram Sarkar |
| 75 |
[GO] |
2022―Jan―05 |
Multi-criteria text mining model for COVID-19 testing reasons and symptoms and temporal predictive model for COVID-19 test results in rural communities |
Laith Abu Lekham, Yong Wang, Ellen Hey, Mohammad T. Khasawneh |
| 76 |
[GO] |
2021―Nov―13 |
E-learningDJUST: E-learning dataset from Jordan university of science and technology toward investigating the impact of COVID-19 pandemic on education |
Malak Abdullah, Mahmoud Al-Ayyoub, Saif AlRawashdeh, Farah Shatnawi |
| 77 |
[GO] |
2021―Okt―11 |
A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting |
Hossein Abbasimehr, Reza Paki, Aram Bahrini |
| 78 |
[GO] |
2021―Okt―10 |
A simulated measurement for COVID-19 pandemic using the effective reproductive number on an empirical portion of population: epidemiological models |
Belal Alsinglawi, Omar Mubin, Fady Alnajjar, Khalid Kheirallah, Mahmoud Elkhodr, Mohammed Al Zobbi, Mauricio Novoa, Mudassar Arsalan, Tahmina Nasrin Poly, Munkhjargal Gochoo, Gulfaraz Khan, Kapal Dev |
| 79 |
[GO] |
2021―Okt―01 |
PA during the COVID-19 outbreak in China: a cross-sectional study |
Yingjun Nie, Yuanyan Ma, Xiaodong Li, Yankong Wu, Weixin Liu, Zhenke Tan, Jiahui Li, Ce Zhang, Chennan Lv, Ting Liu |
| 80 |
[GO] |
2021―Sep―21 |
ANFIS for prediction of epidemic peak and infected cases for COVID-19 in India |
Rajagopal Kumar, Fadi Al-Turjman, L. N. B. Srinivas, M. Braveen, Jothilakshmi Ramakrishnan |
| 81 |
[GO] |
2021―Sep―15 |
The novel VIKOR methods for generalized Pythagorean fuzzy soft sets and its application to children of early childhood in COVID-19 quarantine |
Murat Kirişci, İbrahim Demir, Necip Şimşek, Nihat Topaç, Musa Bardak |
| 82 |
[GO] |
2021―Sep―10 |
A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing |
Nidal Nasser, Qazi Emad-ul-Haq, Muhammad Imran, Asmaa Ali, Imran Razzak, Abdulaziz Al-Helali |
| 83 |
[GO] |
2021―Sep―07 |
A statistical approach to secure health care services from DDoS attacks during COVID-19 pandemic |
Zhili Zhou, Akshat Gaurav, B. B. Gupta, Hedi Hamdi, Nadia Nedjah |
| 84 |
[GO] |
2021―Aug―12 |
Machine learning-based diffusion model for prediction of coronavirus-19 outbreak |
Supriya Raheja, Shreya Kasturia, Xiaochun Cheng, Manoj Kumar |
| 85 |
[GO] |
2021―Jul―30 |
Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound |
Mesut Melek |
| 86 |
[GO] |
2021―Jul―29 |
Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images |
Erdi Acar, Engin Şahin, İhsan Yılmaz |
| 87 |
[GO] |
2021―Jul―07 |
Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images |
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali |
| 88 |
[GO] |
2021―Jul―06 |
Linguistic methods in healthcare application and COVID-19 variants classification |
Marek R. Ogiela, Urszula Ogiela |
| 89 |
[GO] |
2021―Jul―04 |
Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach |
Liang Tan, Keping Yu, Ali Kashif Bashir, Xiaofan Cheng, Fangpeng Ming, Liang Zhao, Xiaokang Zhou |
| 90 |
[GO] |
2021―Jul―02 |
Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread |
Raghav Magoo, Harpreet Singh, Neeru Jindal, Nishtha Hooda, Prashant Singh Rana |
| 91 |
[GO] |
2021―Jun―11 |
SMOTE-NC and gradient boosting imputation based random forest classifier for predicting severity level of covid-19 patients with blood samples |
Elif Ceren Gök, Mehmet Onur Olgun |
| 92 |
[GO] |
2021―Jun―09 |
Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning |
Mangena Venu Madhavan, Aditya Khamparia, Deepak Gupta, Sagar Pande, Prayag Tiwari, M. Shamim Hossain |
| 93 |
[GO] |
2021―Apr―29 |
A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays |
Fouzia Altaf, Syed M. S. Islam, Naeem Khalid Janjua |
| 94 |
[GO] |
2021―Apr―27 |
Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences |
Marika Kaden, Katrin Sophie Bohnsack, Mirko Weber, Mateusz Kudła, Kaja Gutowska, Jacek Blazewicz, Thomas Villmann |
| 95 |
[GO] |
2021―Apr―16 |
Detection of COVID-19 from CT scan images: A spiking neural network-based approach |
Avishek Garain, Arpan Basu, Fabio Giampaolo, Juan D. Velasquez, Ram Sarkar |
| 96 |
[GO] |
2021―Mrz―30 |
Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images |
Gianni D’Angelo, Francesco Palmieri |
| 97 |
[GO] |
2021―Feb―25 |
Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks |
Kapal Dev, Sunder Ali Khowaja, Ankur Singh Bist, Vaibhav Saini, Surbhi Bhatia |
| 98 |
[GO] |
2021―Feb―04 |
A review on COVID-19 forecasting models |
Iman Rahimi, Fang Chen, Amir H. Gandomi |
| 99 |
[GO] |
2021―Jan―27 |
A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients |
Kalyan Kumar Jena, Sourav Kumar Bhoi, Mukesh Prasad, Deepak Puthal |
| 100 |
[GO] |
2021―Jan―19 |
Efficient deep learning approach for augmented detection of Coronavirus disease |
Ahmed Sedik, Mohamed Hammad, Fathi E. Abd El-Samie, Brij B. Gupta, Ahmed A. Abd El-Latif |
| 101 |
[GO] |
2021―Jan―08 |
COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays |
Rajeev Kumar Singh, Rohan Pandey, Rishie Nandhan Babu |
| 102 |
[GO] |
2021―Jan―05 |
Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method |
Simin Li, Yulan Lin, Tong Zhu, Mengjie Fan, Shicheng Xu, Weihao Qiu, Can Chen, Linfeng Li, Yao Wang, Jun Yan, Justin Wong, Lin Naing, Shabei Xu |
| 103 |
[GO] |
2020―Okt―26 |
A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images |
Mohamed Loey, Gunasekaran Manogaran, Nour Eldeen M. Khalifa |
| 104 |
[GO] |
2020―Okt―23 |
ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound |
Zohair Malki, El-Sayed Atlam, Ashraf Ewis, Guesh Dagnew, Ahmad Reda Alzighaibi, Ghada ELmarhomy, Mostafa A. Elhosseini, Aboul Ella Hassanien, Ibrahim Gad |
| 105 |
[GO] |
2020―Aug―27 |
Coronavirus herd immunity optimizer (CHIO) |
Mohammed Azmi Al-Betar, Zaid Abdi Alkareem Alyasseri, Mohammed A. Awadallah, Iyad Abu Doush |
| 106 |
[GO] |
2020―Aug―17 |
Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers |
Choujun Zhan, Yufan Zheng, Zhikang Lai, Tianyong Hao, Bing Li |
