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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2025―Mrz―21 |
Class imbalance-aware domain specific transfer learning approach for medical image classification: Application on COVID-19 detection |
Marut Jindal, Birmohan Singh |
| 2 |
[GO] |
2025―Mrz―03 |
Generative adversarial networks based synthetic biology: A promising approach to sars-cov-2 mutations prediction |
Bahar Hashemi, Ahmad Farhad Talebi, Amin Janghorbani |
| 3 |
[GO] |
2025―Feb―25 |
A three layer stacked multimodel transfer learning approach for deep feature extraction from Chest Radiographic images for the classification of COVID-19 |
Baijnath Kaushik, Akshma Chadha, Abhigya Mahajan, Malvika Ashok |
| 4 |
[GO] |
2025―Jan―08 |
Multi-objective multi-path COVID-19 medical waste collection problem with type-2 fuzzy logic based risk using partial opposition-based weighted genetic algorithm |
Somnath Maji, Samir Maity, Debasis Giri, Izabela Nielsen, Manoranjan Maiti |
| 5 |
[GO] |
2025―Jan―05 |
Dual-path information enhanced pyramid Unet for COVID-19 lung infection segmentation |
Yan Zhang, Qi Mao, Yi Tian, Wenfeng Wang, Lijia Ren, Haibo Li |
| 6 |
[GO] |
2024―Dez―30 |
A novel integration of multiple learning methods for detecting misleading information from different datasets during the pandemic |
Muhammed Coşkun Irmak, Tolga Aydın, Mete Yağanoğlu |
| 7 |
[GO] |
2024―Nov―07 |
Simulation-based genetic algorithm for optimizing a municipal cooperative waste supply chain in a pandemic |
Peiman Ghasemi, Alireza Goli, Fariba Goodarzian, Jan Fabian Ehmke |
| 8 |
[GO] |
2024―Aug―01 |
A multi-source window-dependent transfer learning approach for COVID-19 vaccination rate prediction |
Lubna Altarawneh, Arushi Agarwal, Yuxin Yang, Yu Jin |
| 9 |
[GO] |
2024―Jul―26 |
Portfolio optimization in the stock market under disruptions: Real case studies of COVID-19 pandemic and currency risk |
Amir Hossein Kamali, Seyed Hossein Iranmanesh, Fariba Goodarzian |
| 10 |
[GO] |
2024―Jul―23 |
Predicting Consumer Price Index amidst uncertainty: Gaussian Random Fuzzy Number-based Evidential Neural Network for West African economies with COVID-19 and Russia-Ukraine war dynamics |
Sagiru Mati, Goran Yousif Ismael, Abdullahi Ahmed Mohammed, Mustapha Hussaini, Abdullahi Garba Usman, Nazifi Aliyu, et al. (+2) Raad Abdelhalim Ibrahim Alsakarneh, Sani I. Abba |
| 11 |
[GO] |
2024―Jun―17 |
Two-stage approach for COVID-19 vaccine supply chain network under uncertainty using the machine learning algorithms: A case study |
Mahdyeh Shiri, Parviz Fattahi, Fatemeh Sogandi |
| 12 |
[GO] |
2024―Mai―04 |
PDSMNet: Parallel pyramid dual-stream modeling for automatic lung COVID-19 infection segmentations |
Ichiro Nakamoto, Weiqing Zhuang, Hua Chen, Yan Guo |
| 13 |
[GO] |
2024―Mai―03 |
A novel fuzzy multi-criteria decision-making for enhancing the management of medical waste generated during the coronavirus pandemic |
Ahmet Turan Demir, Sarbast Moslem |
| 14 |
[GO] |
2024―Apr―02 |
Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering |
F. Dornaika, S. El Hajjar, J. Charafeddine |
| 15 |
[GO] |
2024―Mrz―30 |
A turning point few-shot learning for COVID-19 diagnosis |
Laran Qain, Yassine Bouteraa, Thavavel Vaiyapuri, Yiqain Haung |
| 16 |
[GO] |
2024―Feb―05 |
AraCovTexFinder: Leveraging the transformer-based language model for Arabic COVID-19 text identification |
Md. Rajib Hossain, Mohammed Moshiul Hoque, Nazmul Siddique, M. Ali Akber Dewan |
| 17 |
[GO] |
2024―Jan―23 |
SARS-CoV-2 virus variant detection and mortality prediction through symptom analysis using machine learning |
Neda Fatima, Anwar Ahmad |
| 18 |
[GO] |
2024―Jan―06 |
Optimizing COVID-19 medical waste management using goal and robust possibilistic programming |
Hamed Karimi, Niaz Wassan, Behdad Ehsani, Reza Tavakkoli-Moghaddam, Ali Ghodratnama |
| 19 |
[GO] |
2023―Nov―17 |
A sentiment analysis method for COVID-19 network comments integrated with semantic concept |
Jun Li, Lanlan Jiang, Guimin Huang, Jingwei Zhang |
| 20 |
[GO] |
2023―Nov―11 |
Cov-Fed: Federated learning-based framework for COVID-19 diagnosis using chest X-ray scans |
Isaac Adjei-Mensah, Xiaoling Zhang, Isaac Osei Agyemang, Sophyani Banaamwini Yussif, Adu Asare Baffour, Bernard Mawuli Cobbinah, et al. (+4) Collins Sey, Linda Delali Fiasam, Ijeoma Amuche Chikwendu, Joseph Roger Arhin |
| 21 |
[GO] |
2023―Nov―08 |
Negative emotion detection on social media during the peak time of COVID-19 through deep learning with an auto-regressive transformer |
Dheeraj Kodati, Chandra Mohan Dasari |
| 22 |
[GO] |
2023―Okt―06 |
Novel framework based on ensemble classification and secure feature extraction for COVID-19 critical health prediction |
R. Priyadarshini, Abdul Quadir Md, Senthilkumar Mohan, Abdullah Alghamdi, Mesfer Alrizq, Ummul Hanan Mohamad, Ali Ahmadian |
| 23 |
[GO] |
2023―Sep―27 |
Algorithms for decision-making process using complex Pythagorean fuzzy set and its application to hospital siting for COVID-19 patients |
Khaista Rahman, Harish Garg, Rifaqat Ali, Suleman H. Alfalqi, Tarik Lamoudan |
| 24 |
[GO] |
2023―Sep―06 |
A two-phase multi-criteria decision-making with interval-valued Pythagorean normal fuzzy information and its application for module hospital site selection in combating COVID-19 |
Yuan Xu |
| 25 |
[GO] |
2023―Aug―03 |
Development and application of an optimal COVID-19 screening scale utilizing an interpretable machine learning algorithm |
Sara Sharifi Sedeh, Afsaneh Fatemi, Mohammad Ali Nematbakhsh |
| 26 |
[GO] |
2023―Jul―28 |
Covid-19 epidemic and regional carbon emissions: A study based on metabolic multivariate grey model with new information priority |
Pingping Xiong, Xiaojie Wu, Xiaosu Zeng, Lingshan Hu, Xue Yan |
| 27 |
[GO] |
2023―Jul―24 |
Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study |
Soheila Mehrmolaei, Mohammad Savargiv, Mohammad Reza Keyvanpour |
| 28 |
[GO] |
2023―Jun―28 |
COVID-19 symptom identification using Deep Learning and hardware emulated systems |
Rashini Liyanarachchi, Janaka Wijekoon, Manujaya Premathilaka, Samitha Vidhanaarachchi |
| 29 |
[GO] |
2023―Jun―26 |
A new hybrid prediction model of COVID-19 daily new case data |
Guohui Li, Jin Lu, Kang Chen, Hong Yang |
| 30 |
[GO] |
2023―Jun―19 |
Feature-based deep neural network approach for predicting mortality risk in patients with COVID-19 |
Ting-Yuan Chang, Tony Cheng-Kui Huang, Cheng-Hsiung Weng, Jing-Yuan Chen |
| 31 |
[GO] |
2023―Mai―08 |
Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: Case studies of COVID-19 in the US metropolitans |
Mohammed Rashad Baker, Kamal H. Jihad, Hussein Al-Bayaty, Ahmed Ghareeb, Hessein Ali, Jun-Ki Choi, Qiancheng Sun |
| 32 |
[GO] |
2023―Mrz―28 |
PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection |
Farhan Fuad Abir, Muhammad E.H. Chowdhury, Malisha Islam Tapotee, Adam Mushtak, Amith Khandakar, Sakib Mahmud, Md Anwarul Hasan |
| 33 |
[GO] |
2023―Mrz―16 |
Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach |
Luyu Zhou, Chun Zhao, Ning Liu, Xingduo Yao, Zewei Cheng |
| 34 |
[GO] |
2023―Jan―25 |
The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW) |
Behzad Mosallanezhad, Fatemeh Gholian-Jouybari, Leopoldo Eduardo Cárdenas-Barrón, Mostafa Hajiaghaei-Keshteli |
| 35 |
[GO] |
2023―Jan―10 |
Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images |
Suganya D., Kalpana R. |
| 36 |
[GO] |
2023―Jan―05 |
Vaccine selection for COVID-19 by AHP and novel VIKOR hybrid approach with interval type-2 fuzzy sets |
Büşra Meni̇z, E. Mehmet Özkan |
| 37 |
[GO] |
2022―Dez―26 |
Aggregation operators of quadripartitioned single-valued neutrosophic Z-numbers with applications to diverse COVID-19 scenarios |
Gourangajit Borah, Palash Dutta |
| 38 |
[GO] |
2022―Nov―14 |
Influence of exogenous factors on water demand forecasting models during the COVID-19 period |
Manar Abu Talib, Mohamed Abdallah, Abdulrahman Abdeljaber, Omnia Abu Waraga |
| 39 |
[GO] |
2022―Sep―20 |
E-GCS: Detection of COVID-19 through classification by attention bottleneck residual network |
T. Ahila, A.C. Subhajini |
| 40 |
[GO] |
2022―Aug―29 |
Investigation of the pharmaceutical warehouse locations under COVID-19-A case study for Duzce, Turkey |
Melike Erdogan, Ertugrul Ayyildiz |
| 41 |
[GO] |
2022―Aug―15 |
BLCov: A novel collaborative-competitive broad learning system for COVID-19 detection from radiology images |
Guangheng Wu, Junwei Duan |
| 42 |
[GO] |
2022―Jul―11 |
Review on the COVID-19 pandemic prevention and control system based on AI |
Junfei Yi, Hui Zhang, Jianxu Mao, Yurong Chen, Hang Zhong, Yaonan Wang |
| 43 |
[GO] |
2022―Jul―08 |
PITS: An Intelligent Transportation System in pandemic times |
Enrique Brazález, Hermenegilda Macià, Gregorio Díaz, Valentín Valero, Juan Boubeta-Puig |
| 44 |
[GO] |
2022―Jun―27 |
Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction |
Oscar Castillo, Juan R. Castro, Martha Pulido, Patricia Melin |
| 45 |
[GO] |
2021―Mai―26 |
A multimodal deep fusion graph framework to detect social distancing violations and FCGs in pandemic surveillance |
Elizabeth B. Varghese, Sabu M. Thampi |
| 46 |
[GO] |
2021―Feb―19 |
An integrated sustainable medical supply chain network during COVID-19 |
Fariba Goodarzian, Ata Allah Taleizadeh, Peiman Ghasemi, Ajith Abraham |
| 47 |
[GO] |
2020―Nov―28 |
Diurnal emotions, valence and the coronavirus lockdown analysis in public spaces |
Arturas Kaklauskas, Ajith Abraham, Virgis Milevicius |
