|
Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
1 |
[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 |
2 |
[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 |
3 |
[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 |
4 |
[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 |
5 |
[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 |
6 |
[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 |
7 |
[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 |
8 |
[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 |
9 |
[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 |
10 |
[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 |
11 |
[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 |
12 |
[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 |
13 |
[GO] |
2024―Mai―08 |
Exploring the evolution of research topics during the COVID-19 pandemic |
Francesco Invernici, Anna Bernasconi, Stefano Ceri |
14 |
[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, et al. (+5) Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin |
15 |
[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 |
16 |
[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 |
17 |
[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, et al. (+5) Yajuan Gao, Tianfu Wang, Hongfeng Li, Meng Xu, Baiying Lei |
18 |
[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 |
19 |
[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 |
20 |
[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 |
21 |
[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, et al. (+2) Radek Martinek, Muhammet Deveci |
22 |
[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 |
23 |
[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 |
24 |
[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 |
25 |
[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 |
26 |
[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, et al. (+2) Pratool Bharti, Hamed Alhoori |
27 |
[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 |
28 |
[GO] |
2023―Aug―09 |
Collective intelligent strategy for improved segmentation of COVID-19 from CT |
Surochita Pal Das, Sushmita Mitra, B. Uma Shankar |
29 |
[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 |
30 |
[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, et al. (+10) Vassilis Kilintzis, Leandros Stefanopoulos, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva, Serafeim Kotoulas, Militsa Bitzani, Aggelos K. Katsaggelos, Nicos Maglaveras |
31 |
[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 |
32 |
[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, et al. (+2) Rendani Mbuvha, Bruno Petrungaro |
33 |
[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, et al. (+2) Yin Luo, Zhidong Cao |
34 |
[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 |
35 |
[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 |
36 |
[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 |
37 |
[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 |
38 |
[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 |
39 |
[GO] |
2023―Jun―07 |
Sentiment analysis of COVID-19 cases in Greece using Twitter data |
Loukas Samaras, Elena García-Barriocanal, Miguel-Angel Sicilia |
40 |
[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, et al. (+4) Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski |
41 |
[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 |
42 |
[GO] |
2023―Mai―18 |
Combating the COVID-19 Infodemic Using Prompt-Based Curriculum Learning |
Zifan Peng, Mingchen Li, Yue Wang, George T. S. Ho |
43 |
[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 |
44 |
[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 |
45 |
[GO] |
2023―Mai―10 |
MLP-based classification of COVID-19 and skin diseases |
Ruize Zhang, Liejun Wang, Shuli Cheng, Shiji Song |
46 |
[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 |
47 |
[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 |
48 |
[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 |
49 |
[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 |
50 |
[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 |
51 |
[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 |
52 |
[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 |
53 |
[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 |
54 |
[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 |
55 |
[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 |
56 |
[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 |
57 |
[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 |
58 |
[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 |
59 |
[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 |
60 |
[GO] |
2022―Dez―21 |
Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-Ray images |
Kubilay Muhammed Sunnetci, Ahmet Alkan |
61 |
[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 |
62 |
[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, et al. (+5) Ngoc Duy Nguyen, Thanh Thi Nguyen, Sy Dzung Nguyen, Asim Bhatti, Chee Peng Lim |
63 |
[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, et al. (+2) Bo Du, Jun Shen |
64 |
[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 |
65 |
[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 |
66 |
[GO] |
2022―Okt―03 |
Equilibrium-based COVID-19 diagnosis from routine blood tests: A sparse deep convolutional model |
Doaa A. Altantawy, Sherif S. Kishk |
67 |
[GO] |
2022―Okt―03 |
EffViT-COVID: A dual-path network for COVID-19 percentage estimation |
Joohi Chauhan, Jatin Bedi |
68 |
[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 |
69 |
[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 |
70 |
[GO] |
2022―Sep―13 |
Mobility Support for Disadvantaged and Disabled Travelers during Pandemic or Similar Situations |
Ye Liu, Yu Qian, Gurcan Comert, Negash Begashaw |
71 |
[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 |
72 |
[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 |
73 |
[GO] |
2022―Aug―30 |
Social media-based COVID-19 sentiment classification model using Bi-LSTM |
Mohamed Arbane, Rachid Benlamri, Youcef Brik, Ayman Alahmar |
74 |
[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 |
75 |
[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 |
76 |
[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 |
77 |
[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 |
78 |
[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 |
79 |
[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 |
80 |
[GO] |
2022―Aug―05 |
Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction |
Milena Trajanoska, Risto Trajanov, Tome Eftimov |
81 |
[GO] |
2022―Jul―21 |
A Hybrid Random Forest Deep learning Classifier Empowered Edge Cloud Architecture for COVID-19 and Pneumonia Detection |
Murugan Hemalatha |
82 |
[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 |
83 |
[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 |
84 |
[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, et al. (+3) Armando Romanos-Rodríguez, Javier Padillo-Ruiz, César Hervás-Martínez |
85 |
[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 |
86 |
[GO] |
2022―Jun―09 |
Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates |
Melike Erdogan, Ertugrul Ayyildiz |
87 |
[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 |
88 |
[GO] |
2022―Mai―21 |
COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles |
Fabricio Aparecido Breve |
89 |
[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 |
90 |
[GO] |
2022―Mai―20 |
COVID-19 malicious domain names classification |
Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor |
91 |
[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 |
92 |
[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 |
93 |
[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 |
94 |
[GO] |
2022―Apr―02 |
COVID-19 Personal Health Mention Detection from Tweets Using Dual Convolutional Neural Network |
Linkai Luo, Yue Wang, Hai Liu |
95 |
[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 |
96 |
[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 |
97 |
[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 |
98 |
[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 |
99 |
[GO] |
2022―Feb―05 |
Temporal deep learning architecture for prediction of COVID-19 cases in India |
Hanuman Verma, Saurav Mandal, Akshansh Gupta |
100 |
[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 |
101 |
[GO] |
2022―Jan―29 |
Graph-based joint pandemic concern and relation extraction on Twitter |
Jingli Shi, Weihua Li, Sira Yongchareon, Yi Yang, Quan Bai |
102 |
[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 |
103 |
[GO] |
2022―Jan―21 |
Detection of Intra-family Coronavirus Genome Sequences Through Graphical Representation and Artificial Neural Network |
Tirthankar Paul, Seppo Vainio, Juha Roning |
104 |
[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 |
105 |
[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 |
106 |
[GO] |
2022―Jan―01 |
COVID-19 detection from CT scans using a two-stage framework |
Arpan Basu, Khalid Hassan Sheikh, Erik Cuevas, Ram Sarkar |
107 |
[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 |
108 |
[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 |
109 |
[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 |
110 |
[GO] |
2021―Nov―19 |
A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods |
Huseyin Fidan, Mehmet Erkan Yuksel |
111 |
[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 |
112 |
[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 |
113 |
[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 |
114 |
[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 |
115 |
[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 |
116 |
[GO] |
2021―Aug―09 |
COVID-19 and other viruses: Holding back its spreading by massive testing |
José Luis Sainz-Pardo, José Valero |
117 |
[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 |
118 |
[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 |
119 |
[GO] |
2021―Jul―28 |
A quantum-clustering optimization method for COVID-19 CT scan image segmentation |
Pritpal Singh, Surya Sekhar Bose |
120 |
[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 |
121 |
[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, et al. (+4) Wei Zhao, Jun Liu, Di Zhao, Yongjie Li |
122 |
[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 |
123 |
[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 |
124 |
[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, et al. (+3) Anselmo Cardoso de Paiva, Rodolfo Acatauassú Nunes, Marcelo Gattass |
125 |
[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 |
126 |
[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 |
127 |
[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 |
128 |
[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 |
129 |
[GO] |
2021―Apr―29 |
News Sentiment Informed Time-series Analyzing AI (SITALA) to curb the spread of COVID-19 in Houston |
Prathamesh S. Desai |
130 |
[GO] |
2021―Apr―20 |
Sufmacs: a machine learning-based robust image segmentation framework for covid-19 radiological image interpretation |
Shouvik Chakraborty, Kalyani Mali |
131 |
[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 |
132 |
[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 |
133 |
[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 |
134 |
[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 |
135 |
[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 |
136 |
[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 |
137 |
[GO] |
2020―Nov―26 |
Understanding Panic Buying During COVID-19: A Text Analytics Approach |
Stuart J. Barnes, Melisa Diaz, Michela Arnaboldi |
138 |
[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 |
139 |
[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, et al. (+6) Esam Almahdi, Mohammed Chyad, Zaidoon Tareq, Ahmed Albahri, Hamsa Hameed, Musaab Alaa |
140 |
[GO] |
2020―Okt―15 |
Numerical simulation of the novel coronavirus spreading |
M. Medrek, Z. Pastuszak |
141 |
[GO] |
2020―Okt―02 |
A Time Series-Based Statistical Approach for Outbreak Spread Forecasting: Application of COVID-19 in Greece |
Christos Katris |
142 |
[GO] |
2020―Sep―28 |
Deep Learning Approaches for COVID-19 Detection Based on Chest X-ray Images |
Aras M. Ismael, Abdulkadir Şengür |
143 |
[GO] |
2020―Sep―03 |
#stayhome to contain Covid-19: Neuro-SIR - Neurodynamical epidemic modeling of infection patterns in social networks |
Ilias N. Lymperopoulos |
144 |
[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 |
145 |
[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, et al. (+2) Julian M.W. Quinn, Mohammad Ali Moni |