| |
Original Artikel |
Datum |
Titel |
Autoren Max. 6 Autoren |
| 1 |
[GO] |
2026―Jan―22 |
Robust COVID-19 detection from cough sounds using deep neural decision tree and forest: A comprehensive cross-datasets evaluation |
Rofiqul Islam, Nihad Karim Chowdhury, Muhammad Ashad Kabir |
| 2 |
[GO] |
2025―Okt―17 |
HAL-Net: A Historical Analogy Learning Network for Adaptive and Interpretable Pandemic Forecasting |
Chengying Zhang, Donghong Ji |
| 3 |
[GO] |
2025―Sep―02 |
Optimization strategy for testing resource allocation and ICU bed capacity planning during a pandemic |
Xiaoxiao Zhu, Ming Liu, Enrico Zio |
| 4 |
[GO] |
2025―Jul―15 |
Modeling impact of Covid-19 pandemic on spatial temporal human mobility |
Leslie Titus-Glover |
| 5 |
[GO] |
2025―Apr―08 |
Advancing COVID-19 data classification and prediction: A fresh perspective from an ontological machine-learning algorithm |
Sirichanya Chanmee, Wanarat Juraphanthong, Kraisak Kesorn |
| 6 |
[GO] |
2025―Mrz―31 |
A missing multimodal imputation diffusion model for 2D X-ray and 3D CT in COVID-19 diagnosis |
Zijian Gao, Dong Chen, Yiqing Shen |
| 7 |
[GO] |
2024―Dez―28 |
FuzH-PID: Highly controllable and stable DNN for COVID-19 detection via improved stochastic optimization |
Xujing Yao, Cheng Kang, Xin Zhang, Shuihua Wang, Yudong Zhang |
| 8 |
[GO] |
2024―Dez―10 |
A Retrospective evaluation of pandemic policy impact on university Campus: An agent-based modeling approach for Mobility, disease Propagation, and testing during COVID-19 |
Yijie Chen, Md Tariqul Islam, Saurabh Jain, Bijoy Dripta Barua Chowdhury, Young-Jun Son |
| 9 |
[GO] |
2024―Nov―20 |
LDN-SNP: SNP-based lightweight deep network for CT image segmentation of COVID-19 |
Jun Fu, Hong Peng, Bin Li, Jun Wang, Zhicai Liu |
| 10 |
[GO] |
2024―Sep―30 |
Predicting the number of COVID-19 imported cases based on cross-modal transformer: A case study in China |
Wen Zhang, Rui Xie, Jian Li, Liang Wang, Xiang Li, Peng Peng |
| 11 |
[GO] |
2024―Sep―11 |
Designing a new sustainable healthcare network considering the COVID-19 pandemic: Artificial intelligence-based solutions |
Niloofar Hajipour Machiani, Ata Allah Taleizadeh, Mehdi Toloo, Hamidreza Abedsoltan |
| 12 |
[GO] |
2024―Sep―03 |
A stratified review of COVID-19 infection forecasting and an efficient methodology using multiple domain-based transfer learning |
Sandeep Kumar, Sonakshi Garg, Pranab K. Muhuri |
| 13 |
[GO] |
2024―Aug―13 |
COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy |
Gontzal Sagastabeitia, Josu Doncel, José Aguilar, Antonio Fernández Anta, Juan Marcos Ramírez |
| 14 |
[GO] |
2024―Aug―06 |
A hybridized LSTM-ANN-RSA based deep learning models for prediction of COVID-19 cases in Eastern European countries |
Balakrishnama Manohar, Raja Das, M. Lakshmi |
| 15 |
[GO] |
2024―Jun―17 |
Corrigendum to “An intelligent risk assessment on prediction of COVID-19 pandemic using DNN and TSA: An empirical case study in Thailand” [Expert Syst. Appl. 253 (2024) 124311] |
Athakorn Kengpol, Jakkarin Klunngien |
| 16 |
[GO] |
2024―Mai―26 |
An intelligent risk assessment on prediction of COVID-19 pandemic using DNN and TSA: An empirical case study in Thailand |
Athakorn Kengpol, Jakkarin Klunngien |
| 17 |
[GO] |
2024―Mai―08 |
Exploring the evolution of research topics during the COVID-19 pandemic |
Francesco Invernici, Anna Bernasconi, Stefano Ceri |
| 18 |
[GO] |
2024―Mrz―24 |
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning |
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Rădulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin |
| 19 |
[GO] |
2024―Mrz―01 |
Sequence Labelling with 2 Level Segregation (SL2LS): A framework to extract COVID-19 vaccine adverse drug reactions from twitter data |
Sinruwng Ngamwal, Vipin Pal |
| 20 |
[GO] |
2024―Mrz―01 |
A clustering and graph deep learning-based framework for COVID-19 drug repurposing |
Chaarvi Bansal, P.R. Deepa, Vinti Agarwal, Rohitash Chandra |
| 21 |
[GO] |
2023―Dez―03 |
COVID-19 diagnosis based on swin transformer model with demographic information fusion and enhanced multi-head attention mechanism |
Yunlong Sun, Jingge Lian, Ze Teng, Ziyi Wei, Yi Tang, Liu Yang, Yajuan Gao, Tianfu Wang, Hongfeng Li, Meng Xu, Baiying Lei |
| 22 |
[GO] |
2023―Nov―19 |
Machine learning models for predicting hospitalization and mortality risks of COVID-19 patients |
Wallace Duarte de Holanda, Lenardo Chaves e Silva, Álvaro Alvares de Carvalho César Sobrinho |
| 23 |
[GO] |
2023―Nov―02 |
A heterogeneous multi-attribute case retrieval method for generating emergency response alternatives based on interval evidential reasoning and gained and lost dominance score method: An application to the COVID-19 emeregency situation |
Jing Zheng, Ying-Ming Wang, Jian-Qing Gao, Kai Zhang |
| 24 |
[GO] |
2023―Okt―27 |
Localization Model and Rank-based Features Selection Approach for the Classification of GGO and Consolidation Stages of COVID-19 |
Javaria Amin, Muhammad Almas Anjum, Nadia Gul, Muhammad Imran Sharif, Muhammad Irfan Sharif, Seifedine Kadry |
| 25 |
[GO] |
2023―Okt―11 |
A robust framework for the selection of optimal COVID-19 mask based on aggregations of interval-valued multi-fuzzy hypersoft sets |
Muhammad Arshad, Muhammad Saeed, Atiqe Ur Rahman, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Muhammet Deveci |
| 26 |
[GO] |
2023―Okt―06 |
Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information |
Elias P. Medeiros, Marcos R. Machado, Emannuel Diego G. de Freitas, Daniel S. da Silva, Renato William R. de Souza |
| 27 |
[GO] |
2023―Sep―23 |
A Multi-stage framework for COVID-19 detection and severity assessment from chest radiography images using advanced fuzzy ensemble technique |
Pranab Sahoo, Sriparna Saha, Saksham Kumar Sharma, Samrat Mondal, Suraj Gowda |
| 28 |
[GO] |
2023―Sep―01 |
Developing Deep Transfer and Machine Learning Models of Chest X-ray for Diagnosing COVID-19 Cases using Probabilistic Single-Valued Neutrosophic Hesitant Fuzzy |
Hassan A. Alsattar, Sarah Qahtan, Aos Alaa Zaidan, Muhammet Deveci, Luis Martinez, Dragan Pamucar, Witold Pedrycz |
| 29 |
[GO] |
2023―Aug―31 |
GINCM-DTA: A graph isomorphic network with protein contact map representation for potential use against COVID-19 and Omicron subvariants BQ.1, BQ.1.1, XBB.1.5, XBB.1.16 |
Guanxing Chen, Haohuai He, Lu Zhao, Qiujie Lv, Calvin Yu-Chian Chen |
| 30 |
[GO] |
2023―Aug―19 |
An explainable AI approach for diagnosis of COVID-19 using MALDI-ToF mass spectrometry |
Venkata Devesh Reddy Seethi, Zane LaCasse, Prajkta Chivte, Joshua Bland, Shrihari S. Kadkol, Elizabeth R. Gaillard, Pratool Bharti, Hamed Alhoori |
| 31 |
[GO] |
2023―Aug―16 |
An study on the suitability of different pooling operators for Convolutional Neural Networks in the prediction of COVID-19 through chest x-ray image analysis |
Iosu Rodriguez-Martinez, Pablo Ursua-Medrano, Javier Fernandez, Zdenko Takáč, Humberto Bustince |
| 32 |
[GO] |
2023―Aug―09 |
Collective intelligent strategy for improved segmentation of COVID-19 from CT |
Surochita Pal Das, Sushmita Mitra, B. Uma Shankar |
| 33 |
[GO] |
2023―Aug―08 |
CAD system for intelligent grading of COVID-19 severity with green computing and low carbon footprint analysis |
Ibrahim Shawky Farahat, Waleed Aladrousy, Mohamed Elhoseny, Ahmed Elsaid Tolba, Samir Elmougy |
| 34 |
[GO] |
2023―Aug―07 |
A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters |
Yunan Wu, Bruno Machado Rocha, Evangelos Kaimakamis, Grigorios-Aris Cheimariotis, Georgios Petmezas, Evangelos Chatzis, Vassilis Kilintzis, Leandros Stefanopoulos, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva, Serafeim Kotoulas, Militsa Bitzani, Aggelos K. Katsaggelos, Nicos Maglaveras |
| 35 |
[GO] |
2023―Aug―06 |
Computationally efficient optimal control analysis for the mathematical model of Coronavirus pandemic |
Azhar Iqbal Kashif Butt, Waheed Ahmad, Muhammad Rafiq, Naeed Ahmad, Muhammad Imran |
| 36 |
[GO] |
2023―Aug―01 |
Open problems in causal structure learning: A case study of COVID-19 in the UK |
Anthony Constantinou, Neville K. Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh Amirkhizi, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro |
| 37 |
[GO] |
2023―Jul―28 |
A cross-lingual transfer learning method for online COVID-19-related hate speech detection |
Lin Liu, Duo Xu, Pengfei Zhao, Daniel Dajun Zeng, Paul Jen-Hwa Hu, Qingpeng Zhang, Yin Luo, Zhidong Cao |
| 38 |
[GO] |
2023―Jul―06 |
An improved BERT method for the evolution of network public opinion of major infectious diseases: Case Study of COVID-19 |
Meng Su, Dongsheng Cheng, Yan Xu, Futian Weng |
| 39 |
[GO] |
2023―Jun―22 |
Emergent multipath COVID-19 specimen collection problem with green corridor through variable length GA |
Somnath Maji, Kunal Pradhan, Samir Maity, Izabela Ewa Nielsen, Debasis Giri, Manoranjan Maiti |
| 40 |
[GO] |
2023―Jun―20 |
Predicting economic resilience of territories in Italy during the COVID-19 first lockdown |
Francesco Pierri, Francesco Scotti, Giovanni Bonaccorsi, Andrea Flori, Fabio Pammolli |
| 41 |
[GO] |
2023―Jun―15 |
ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for Classification of Skin Cancer |
Nannan Liu, M.R. Rejeesh, Vinu Sundararaj, B. Gunasundari |
| 42 |
[GO] |
2023―Jun―13 |
Deep Learning Based Hybrid Prediction Model for Predicting the Spread of COVID-19 in the World's Most Populous Countries |
Anil Utku |
| 43 |
[GO] |
2023―Jun―07 |
Sentiment analysis of COVID-19 cases in Greece using Twitter data |
Loukas Samaras, Elena García-Barriocanal, Miguel-Angel Sicilia |
| 44 |
[GO] |
2023―Mai―27 |
Parallel CNN-ELM: A Multiclass Classification of Chest X-Ray Images to Identify Seventeen Lung Diseases Including COVID-19 |
Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam, Md Khalid Syfullah, Saleh Mohammed Shahriar, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski |
| 45 |
[GO] |
2023―Mai―19 |
Optimizing the COVID-19 Cold Chain Vaccine Distribution Network with Medical Waste Management: A Robust Optimization Approach |
Eyüp Ensar Işık, Seyda Topaloglu Yildiz |
| 46 |
[GO] |
2023―Mai―18 |
Combating the COVID-19 Infodemic Using Prompt-Based Curriculum Learning |
Zifan Peng, Mingchen Li, Yue Wang, George T. S. Ho |
| 47 |
[GO] |
2023―Mai―17 |
COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs |
Saddam Hussain Khan, Javed Iqbal, Syed Agha Hassnain, Muhammad Owais, Samih M. Mostafa, Myriam Hadjouni, Amena Mahmoud |
| 48 |
[GO] |
2023―Mai―12 |
Reducing radiation dose for NN-based COVID-19 detection in helical chest CT using real-time monitored reconstruction |
Konstantin B. Bulatov, Anastasia S. Ingacheva, Marat I. Gilmanov, Marina V. Chukalina, Dmitry P. Nikolaev, Vladimir V. Arlazarov |
| 49 |
[GO] |
2023―Mai―10 |
MLP-based classification of COVID-19 and skin diseases |
Ruize Zhang, Liejun Wang, Shuli Cheng, Shiji Song |
| 50 |
[GO] |
2023―Mai―09 |
Supply chain traceability and counterfeit detection of COVID-19 vaccines using novel blockchain-based Vacledger system |
Uvini J. Munasinghe, Malka N. Halgamuge |
| 51 |
[GO] |
2023―Mai―06 |
Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era |
Amirhossein Moadab, Ghazale Kordi, Mohammad Mahdi Paydar, Ali Divsalar, Mostafa Hajiaghaei-Keshteli |
| 52 |
[GO] |
2023―Mai―06 |
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation |
Saroj Kumar Sahoo, Essam H. Houssein, M. Premkumar, Apu Kumar Saha, Marwa M. Emam |
| 53 |
[GO] |
2023―Apr―17 |
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2 |
Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez |
| 54 |
[GO] |
2023―Apr―16 |
Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images |
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh |
| 55 |
[GO] |
2023―Apr―12 |
Robust Optimization and Strategic Analysis for Agri-food Supply Chain under Pandemic Crisis: Case Study from an Emerging Economy |
Misagh Rahbari, Alireza Arshadi Khamseh, Mohammad Mohammadi |
| 56 |
[GO] |
2023―Apr―11 |
A Lightweight CORONA-NET for COVID-19 detection in X-ray images |
Muhammad Usman Hadi, Rizwan Qureshi, Ayesha Ahmed, Nadeem Iftikhar |
| 57 |
[GO] |
2023―Apr―05 |
Analysis of the COVID-19 pandemic using a compartmental model with time-varying parameters fitted by a genetic algorithm |
Yuri Zelenkov, Ivan Reshettsov |
| 58 |
[GO] |
2023―Apr―01 |
Electricity Price Estimation Using Deep Learning Approaches: An Empirical Study on Turkish Markets in Normal and Covid-19 Periods |
Mustafa Kaya, Mehmet Baha Karan, Erdinç Telatar |
| 59 |
[GO] |
2023―Mrz―18 |
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images |
Haval I. Hussein, Abdulhakeem O. Mohammed, Masoud M. Hassan, Ramadhan J. Mstafa |
| 60 |
[GO] |
2023―Feb―11 |
Role of Proliferation COVID-19 Media Chatter in Predicting Indian Stock Market: Integrated Framework of Nonlinear Feature Transformation and Advanced AI |
Indranil Ghosh, Esteban Alfaro-Cortés, Matías Gámez, Noelia García-Rubio |
| 61 |
[GO] |
2023―Jan―27 |
A hybrid filter-wrapper feature selection using Fuzzy KNN based on Bonferroni mean for medical datasets classification: A COVID-19 case study |
Amukta Malyada Vommi, Tirumala Krishna Battula |
| 62 |
[GO] |
2023―Jan―16 |
COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic |
Chenxun Yuan, Xiang Ma, Hua Wang, Caiming Zhang, Xuemei Li |
| 63 |
[GO] |
2023―Jan―04 |
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images |
Zahid Ullah, Muhammad Usman, Jeonghwan Gwak |
| 64 |
[GO] |
2022―Dez―21 |
Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-Ray images |
Kubilay Muhammed Sunnetci, Ahmet Alkan |
| 65 |
[GO] |
2022―Dez―20 |
Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic |
Zhenyu Zhang, Huirong Zhang, Lixin Zhou, Yong Qin, Limin Jia |
| 66 |
[GO] |
2022―Nov―07 |
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds |
Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Hai Nguyen, Ngoc Duy Nguyen, Thanh Thi Nguyen, Sy Dzung Nguyen, Asim Bhatti, Chee Peng Lim |
| 67 |
[GO] |
2022―Okt―26 |
Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic |
Jaber Valizadeh, Shadi Boloukifar, Sepehr Soltani, Ehsan Jabalbarezi Hookerd, Farzaneh Fouladi, Anastasia Andreevna Rushchtc, Bo Du, Jun Shen |
| 68 |
[GO] |
2022―Okt―22 |
Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19 |
Songwei Zhao, Pengjun Wang, Ali Asghar Heidari, Xuehua Zhao, Huiling Chen |
| 69 |
[GO] |
2022―Okt―18 |
COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation |
Emre Külah, Yusuf Mücahit Çetinkaya, Arif Görkem Özer, Hande Alemdar |
| 70 |
[GO] |
2022―Okt―03 |
Equilibrium-based COVID-19 diagnosis from routine blood tests: A sparse deep convolutional model |
Doaa A. Altantawy, Sherif S. Kishk |
| 71 |
[GO] |
2022―Okt―03 |
EffViT-COVID: A dual-path network for COVID-19 percentage estimation |
Joohi Chauhan, Jatin Bedi |
| 72 |
[GO] |
2022―Sep―24 |
COVID-19 medical waste transportation risk evaluation integrating type-2 fuzzy total interpretive structural modeling and Bayesian network |
Jing Tang, Xinwang Liu, Weizhong Wang |
| 73 |
[GO] |
2022―Sep―17 |
Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation |
Tao Dai, Jie Zhao, Dehong Li, Shun Tian, Xiangmo Zhao, Shirui Pan |
| 74 |
[GO] |
2022―Sep―13 |
Mobility Support for Disadvantaged and Disabled Travelers during Pandemic or Similar Situations |
Ye Liu, Yu Qian, Gurcan Comert, Negash Begashaw |
| 75 |
[GO] |
2022―Sep―05 |
An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting |
Zongxi Qu, Yutong Li, Xia Jiang, Chunhua Niu |
| 76 |
[GO] |
2022―Sep―05 |
Covid-19 Vaccine Hesitancy: Text Mining, Sentiment Analysis and Machine Learning on COVID-19 Vaccination Twitter Dataset |
Miftahul Qorib, Timothy Oladunni, Max Denis, Esther Ososanya, Paul Cotae |
| 77 |
[GO] |
2022―Aug―30 |
Social media-based COVID-19 sentiment classification model using Bi-LSTM |
Mohamed Arbane, Rachid Benlamri, Youcef Brik, Ayman Alahmar |
| 78 |
[GO] |
2022―Aug―27 |
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network |
Md. Nahiduzzaman, Md. Rabiul Islam, Rakibul Hassan |
| 79 |
[GO] |
2022―Aug―22 |
Leveraging AI for advanced analytics to forecast altered tourism industry parameters: A COVID-19 motivated study |
Ankur Kumar, Subhas Chandra Misra, Felix T.S. Chan |
| 80 |
[GO] |
2022―Aug―19 |
Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions |
Mahmoud M. Bassiouni, Ripon K. Chakrabortty, Omar K. Hussain, Humyun Fuad Rahman |
| 81 |
[GO] |
2022―Aug―12 |
Forecast daily tourist volumes during the epidemic period using COVID-19 data, search engine data and weather data |
Chuan Zhang, Yu-Xin Tian |
| 82 |
[GO] |
2022―Aug―08 |
Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel fractional nonlinear grey model |
Utkucan Şahin |
| 83 |
[GO] |
2022―Aug―06 |
A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2 |
Miguel Alves Pereira, Duarte Caldeira Dinis, Diogo Cunha Ferreira, José Rui Figueira, Rui Cunha Marques |
| 84 |
[GO] |
2022―Aug―05 |
Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction |
Milena Trajanoska, Risto Trajanov, Tome Eftimov |
| 85 |
[GO] |
2022―Jul―21 |
A Hybrid Random Forest Deep learning Classifier Empowered Edge Cloud Architecture for COVID-19 and Pneumonia Detection |
Murugan Hemalatha |
| 86 |
[GO] |
2022―Jul―18 |
Multi-criteria decision making of COVID-19 vaccines (in India) based on ranking interpreter technique under single valued bipolar neutrosophic environment |
Totan Garai, Harish Garg |
| 87 |
[GO] |
2022―Jul―05 |
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision |
Han Li, Nianyin Zeng, Peishu Wu, Kathy Clawson |
| 88 |
[GO] |
2022―Jun―27 |
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain |
Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, Isaac Túñez, Luis Ortigosa-Moreno, Armando Romanos-Rodríguez, Javier Padillo-Ruiz, César Hervás-Martínez |
| 89 |
[GO] |
2022―Jun―16 |
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays |
Subhrajit Dey, Rajdeep Bhattacharya, Samir Malakar, Friedhelm Schwenker, Ram Sarkar |
| 90 |
[GO] |
2022―Jun―09 |
Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates |
Melike Erdogan, Ertugrul Ayyildiz |
| 91 |
[GO] |
2022―Jun―03 |
Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic |
Abduallah Gamal, Mohamed Abdel-Basset, Ripon K. Chakrabortty |
| 92 |
[GO] |
2022―Mai―21 |
COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles |
Fabricio Aparecido Breve |
| 93 |
[GO] |
2022―Mai―20 |
Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception |
Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin |
| 94 |
[GO] |
2022―Mai―20 |
COVID-19 malicious domain names classification |
Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor |
| 95 |
[GO] |
2022―Mai―13 |
Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam |
Phu Pham, Witold Pedrycz, Bay Vo |
| 96 |
[GO] |
2022―Mai―02 |
DMDF-Net: Dual Multiscale Dilated Fusion Network for Accurate Segmentation of Lesions Related to COVID-19 in Lung Radiographic Scans |
Muhammad Owais, Na Rae Baek, Kang Ryoung Park |
| 97 |
[GO] |
2022―Apr―28 |
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images |
El-Sayed.A. El-Dahshan, Mahmoud.M. Bassiouni, Ahmed Hagag, Ripon K. Chakrabortty, Huiwen. Loh, Rajendra U. Acharya |
| 98 |
[GO] |
2022―Apr―02 |
COVID-19 Personal Health Mention Detection from Tweets Using Dual Convolutional Neural Network |
Linkai Luo, Yue Wang, Hai Liu |
| 99 |
[GO] |
2022―Mrz―30 |
X-ray image based COVID-19 detection using evolutionary deep learning approach |
Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi |
| 100 |
[GO] |
2022―Mrz―15 |
Binary Simulated Normal Distribution Optimizer for feature selection: Theory and application in COVID-19 datasets |
Shameem Ahmed, Khalid Hassan Sheikh, Seyedali Mirjalili, Ram Sarkar |
| 101 |
[GO] |
2022―Mrz―14 |
An Intelligent Early Warning System of Analyzing Twitter Data Using Machine Learning on COVID-19 Surveillance in the US |
Yiming Zhang, Ke Chen, Ying Weng, Zhuo Chen, Juntao Zhang, Richard Hubbard |
| 102 |
[GO] |
2022―Feb―24 |
A novel algorithm for detection of COVID-19 by analysis of chest CT images using Hopfield neural network |
Saeed Sani, Hossein Ebrahimzadeh Shermeh |
| 103 |
[GO] |
2022―Feb―05 |
Temporal deep learning architecture for prediction of COVID-19 cases in India |
Hanuman Verma, Saurav Mandal, Akshansh Gupta |
| 104 |
[GO] |
2022―Feb―05 |
Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications |
Wanessa W.L. Freitas, Renata M.C.R. de Souza, Getúlio J.A. Amaral, Fernanda De Bastiani |
| 105 |
[GO] |
2022―Jan―29 |
Graph-based joint pandemic concern and relation extraction on Twitter |
Jingli Shi, Weihua Li, Sira Yongchareon, Yi Yang, Quan Bai |
| 106 |
[GO] |
2022―Jan―22 |
Are CDS spreads predictable during the Covid-19 pandemic? Forecasting based on SVM, GMDH, LSTM and Markov switching autoregression |
Darko B. Vukovic |
| 107 |
[GO] |
2022―Jan―21 |
Detection of Intra-family Coronavirus Genome Sequences Through Graphical Representation and Artificial Neural Network |
Tirthankar Paul, Seppo Vainio, Juha Roning |
| 108 |
[GO] |
2022―Jan―20 |
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT |
Aksh Garg, Sana Salehi, Marianna La Rocca, Rachael Garner, Dominique Duncan |
| 109 |
[GO] |
2022―Jan―15 |
Decision support analysis for risk identification and control of patients affected by COVID-19 based on Bayesian Networks |
Jiang Shen, Fusheng Liu, Man Xu, Lipeng Fu, Zhenhe Dong, Jiachao Wu |
| 110 |
[GO] |
2022―Jan―01 |
COVID-19 detection from CT scans using a two-stage framework |
Arpan Basu, Khalid Hassan Sheikh, Erik Cuevas, Ram Sarkar |
| 111 |
[GO] |
2021―Dez―16 |
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection |
Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh |
| 112 |
[GO] |
2021―Dez―14 |
Design of a Modular DSS for Public Health Decision-making in the Context of a COVID-19 Pandemic Landscape |
Sergey Samoilenko, Kweku-Muata Osei-Bryson |
| 113 |
[GO] |
2021―Dez―04 |
Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance |
Shu-Ping Wan, Jia Yan, Jiu-Ying Dong |
| 114 |
[GO] |
2021―Nov―19 |
A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods |
Huseyin Fidan, Mehmet Erkan Yuksel |
| 115 |
[GO] |
2021―Okt―22 |
A Biological Sub-Sequences Detection Using Integrated BA-PSO based on Infection Propagation Mechanism: Case Study COVID-19 |
Mohamed Issa, Ahmed M. Helmi, Ammar H. Elsheikh, Mohamed Abd Elaziz |
| 116 |
[GO] |
2021―Sep―20 |
COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction |
Farnoush Ronaghi, Mohammad Salimibeni, Farnoosh Naderkhani, Arash Mohammadi |
| 117 |
[GO] |
2021―Sep―14 |
Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson’s Disease and COVID-19 |
Luca Parisi, Daniel Neagu, Renfei Ma, Felician Campean |
| 118 |
[GO] |
2021―Sep―11 |
Tracking social media during the COVID-19 pandemic: the case study of lockdown in New York State |
Lin Miao, Mark Last, Marina Litvak |
| 119 |
[GO] |
2021―Sep―05 |
CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning |
Hossam Magdy Balaha, Eman M. El-Gendy, Mahmoud M. Saafan |
| 120 |
[GO] |
2021―Aug―09 |
COVID-19 and other viruses: Holding back its spreading by massive testing |
José Luis Sainz-Pardo, José Valero |
| 121 |
[GO] |
2021―Aug―04 |
Applications of Artificial Intelligence in COVID-19 Pandemic: A Comprehensive Review |
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Ul Haq, Zahid Ullah, Salman Raza Naqvi |
| 122 |
[GO] |
2021―Jul―31 |
Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images |
Daniel Iglesias Morís, José Joaquim de Moura Ramos, Jorge Novo Buján, Marcos Ortega Hortas |
| 123 |
[GO] |
2021―Jul―28 |
A quantum-clustering optimization method for COVID-19 CT scan image segmentation |
Pritpal Singh, Surya Sekhar Bose |
| 124 |
[GO] |
2021―Jul―27 |
Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19 |
Shivang Agarwal, C. Ravindranath Chowdary |
| 125 |
[GO] |
2021―Jul―27 |
A Deep-Learning-Based Framework for Severity Assessment of COVID-19 with CT Images |
Zhidan Li, Shixuan Zhao, Yang Chen, Fuya Luo, Zhiqing Kang, Shengping Cai, Wei Zhao, Jun Liu, Di Zhao, Yongjie Li |
| 126 |
[GO] |
2021―Jul―22 |
Markov features based DTCWS Algorithm for Online image forgery detection using Ensemble Classifier in the pandemic |
Rachna Mehta, Karan Aggarwal, Deepika Koundal, Adi Alhudhaif, Kemal Polat |
| 127 |
[GO] |
2021―Jul―17 |
Recovery solutions for ecotourism centers during the Covid-19 pandemic: Utilizing Fuzzy DEMATEL and Fuzzy VIKOR methods |
Seyyed Mehdi Hosseini, Mohammad Mahdi Paydar, Mostafa Hajiaghaei-Keshteli |
| 128 |
[GO] |
2021―Jun―22 |
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost |
Domingos Alves Dias Júnior, Luana Batista da Cruz, João Otávio Bandeira Diniz, Giovanni Lucca França da Silva, Geraldo Braz Junior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassú Nunes, Marcelo Gattass |
| 129 |
[GO] |
2021―Jun―12 |
A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images |
Aravind Krishnaswamy Rangarajan, Hari Krishnan Ramachandran |
| 130 |
[GO] |
2021―Mai―18 |
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil |
Tiago Tiburcio da Silva, Rodrigo Francisquini, Maric C. V. Nascimento |
| 131 |
[GO] |
2021―Mai―04 |
Determination of COVID-19 Pneumonia based on Generalized Convolutional Neural Network Model from Chest X-Ray Images |
Adi Alhudhaif, Kemal Polat, Onur Karaman |
| 132 |
[GO] |
2021―Mai―04 |
An Integrated Framework with Machine Learning and Radiomics for Accurate and Rapid Early Diagnosis of COVID-19 from Chest X-ray |
Mahbubunnabi Tamal, Maha Alshammari, Meernah Alabdullah, Rana Hourani, Hossain Abu Alola, Tarek M. Hegazi |
| 133 |
[GO] |
2021―Apr―29 |
News Sentiment Informed Time-series Analyzing AI (SITALA) to curb the spread of COVID-19 in Houston |
Prathamesh S. Desai |
| 134 |
[GO] |
2021―Apr―20 |
Sufmacs: a machine learning-based robust image segmentation framework for covid-19 radiological image interpretation |
Shouvik Chakraborty, Kalyani Mali |
| 135 |
[GO] |
2021―Apr―08 |
Fuzzy Case-Based Reasoning approach for finding COVID-19 patients priority in hospitals at source shortage period |
Selvaraj Geetha, Samayan Narayanamoorthy, Thangaraj Manirathinam, Deakook Kang |
| 136 |
[GO] |
2021―Mrz―26 |
Gradient-Based Grey Wolf Optimizer with Gaussian Walk: Application in Modelling and Prediction of the COVID-19 Pandemic |
Soheyl Khalilpourazari, Hossein Hashemi Doulabi, Aybike Özyüksel Çiftçioğlu, Gerhard-Wilhelm Weber |
| 137 |
[GO] |
2021―Mrz―18 |
COVID-19: Automatic Detection from X-ray images by utilizing Deep Learning Methods |
Bhawna Nigam, Ayan Nigam, Rahul Jain, Shubham Dodia, Nidhi Arora, Annappa B |
| 138 |
[GO] |
2021―Mrz―14 |
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images |
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su |
| 139 |
[GO] |
2021―Feb―15 |
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19 |
Plácido L. Vidal, Joaquim Moura, Jorge Novo, Marcos Ortega |
| 140 |
[GO] |
2021―Feb―02 |
A classification of countries and regions by degree of the spread of coronavirus based on statistical criteria |
Antoni Wilinski, Eryk Szwarc |
| 141 |
[GO] |
2020―Nov―26 |
Understanding Panic Buying During COVID-19: A Text Analytics Approach |
Stuart J. Barnes, Melisa Diaz, Michela Arnaboldi |
| 142 |
[GO] |
2020―Okt―30 |
SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological images |
Shouvik Chakraborty, Kalyani Mali |
| 143 |
[GO] |
2020―Okt―28 |
Sentiment Analysis and Its Applications in Fighting COVID-19 and Infectious Diseases: A Systematic Review |
Abdullah Alamoodi, Bilal Zaidan, Aws Zaidan, Osamah Albahri, Khaled Mohammed, Rami Malik, Esam Almahdi, Mohammed Chyad, Zaidoon Tareq, Ahmed Albahri, Hamsa Hameed, Musaab Alaa |
| 144 |
[GO] |
2020―Okt―15 |
Numerical simulation of the novel coronavirus spreading |
M. Medrek, Z. Pastuszak |
| 145 |
[GO] |
2020―Okt―02 |
A Time Series-Based Statistical Approach for Outbreak Spread Forecasting: Application of COVID-19 in Greece |
Christos Katris |
| 146 |
[GO] |
2020―Sep―28 |
Deep Learning Approaches for COVID-19 Detection Based on Chest X-ray Images |
Aras M. Ismael, Abdulkadir Şengür |
| 147 |
[GO] |
2020―Sep―03 |
#stayhome to contain Covid-19: Neuro-SIR - Neurodynamical epidemic modeling of infection patterns in social networks |
Ilias N. Lymperopoulos |
| 148 |
[GO] |
2020―Aug―26 |
Coronavirus Disease (COVID-19) Detection in Chest X-Ray Images using Majority Voting Based Classifier Ensemble |
Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, Deepak Jain, Satyabhuwan Singh Netam |
| 149 |
[GO] |
2020―Jun―20 |
A Machine Learning Model to Identify Early Stage Symptoms of SARS-Cov-2 Infected Patients |
Martuza Ahamad, Sakifa Aktar, Shahadat Uddin, Pietro Lió, Haoming Xu, Matthew A. Summers, Julian M.W. Quinn, Mohammad Ali Moni |
