| |
Original Artikel |
Datum |
Titel |
Autoren Max. 6 Autoren |
| 1 |
[GO] |
2025―Feb―03 |
Emotional classification in COVID-19: Analyzing Chinese microblogs with domain-adapted contrastive learning |
Nankai Lin, Hongyan Wu, Aimin Yang, Lianxi Wang |
| 2 |
[GO] |
2025―Jan―31 |
AI-driven social media text analysis during crisis: A review for natural disasters and pandemics |
Junaid Abdul Wahid, Mingliang Xu, Muhammad Ayoub, Xiaoheng Jiang, Shi Lei, Yufei Gao, Shabir Hussain, Yu Yang |
| 3 |
[GO] |
2025―Jan―26 |
Country-Level Assessment of COVID-19 Performance: A Cluster-Based MACONT-CRITIC Analysis |
Amirreza Salehi Amiri, Ardavan Babaei, Majid Khedmati |
| 4 |
[GO] |
2025―Jan―16 |
Large language models for newspaper sentiment analysis during COVID-19: The Guardian |
Rohitash Chandra, Baicheng Zhu, Qingying Fang, Eka Shinjikashvili |
| 5 |
[GO] |
2024―Nov―30 |
Evaluating the Performance of Countries in COVID-19 Management: A Data-Driven Decision-Making and Clustering |
Hamed Meraji, Danial Rahimi, Ardavan Babaei, Erfan Babaee Tirkolaee |
| 6 |
[GO] |
2024―Aug―26 |
A Systematic Literature Review on Machine Learning and Deep Learning-Based Covid-19 Detection Frameworks using X-ray Images |
S. Maheswari, S Suresh, S Ahamed Ali |
| 7 |
[GO] |
2024―Mai―25 |
Automated detection of COVID-19 and pneumonia diseases using data mining and transfer learning algorithms with focal loss from chest X-ray images |
Rana Khattab, Islam R. Abdelmaksoud, Samir Abdelrazek |
| 8 |
[GO] |
2024―Mrz―06 |
Multi-task Supervised Contrastive Learning for Chest X-ray Diagnosis: A Two-Stage Hierarchical Classification Framework for COVID-19 Diagnosis |
Guan-Ying Chen, Chih-Ting Lin |
| 9 |
[GO] |
2024―Feb―05 |
Evolutionary optimization of policy responses to COVID-19 pandemic via surrogate models |
Mohammad-H. Tayarani-N. |
| 10 |
[GO] |
2023―Dez―12 |
Investigating surrogate-based hybrid acquisition processes. Application to Covid-19 contact mitigation |
G. Briffoteaux, N. Melab, M. Mezmaz, D. Tuyttens |
| 11 |
[GO] |
2023―Dez―05 |
An approach to investigate fairness using Dominance-based Rough Sets Analysis-How fair were the COVID-19 restriction decisions in the UK? |
Edward Abel, Sajid Siraj |
| 12 |
[GO] |
2023―Nov―14 |
Resilient and Sustainable Global COVID-19 Vaccine Supply Chain Design Considering Reverse Logistics |
Ehsan Torshizi, Ali Bozorgi-Amiri, Fatemeh Sabouhi |
| 13 |
[GO] |
2023―Nov―03 |
Green and reliable medical device supply chain network design under deep dynamic uncertainty: A novel approach in the context of COVID-19 outbreak |
Amin Reza Kalantari Khalil Abad, Farnaz Barzinpour, Mir Saman Pishvaee |
| 14 |
[GO] |
2023―Okt―19 |
An explainable decision model based on extended belief-rule-based systems to predict admission to the intensive care unit during COVID-19 breakout |
Jing Zheng, Long-Hao Yang, Ying-Ming Wang, Jian-Qing Gao, Kai Zhang |
| 15 |
[GO] |
2023―Sep―07 |
Energy based bipolar intuitionistic fuzzy digraph decision-making system in selecting COVID-19 vaccines |
Deva Nithyanandham, Felix Augustin, David Raj Micheal, Nagarajan Deivanayagam Pillai |
| 16 |
[GO] |
2023―Aug―21 |
Virus control optimizer based on the prevention and control mechanism of COVID-19 for engineering optimization problems |
Chang He, Weiqing Huang, Haibin Ouyang, Steven Li, Jianhua Xiang |
| 17 |
[GO] |
2023―Jul―23 |
A bipolar fuzzy p-competition graph based ARAS technique for prioritizing COVID-19 vaccines |
Deva Nithyanandham, Felix Augustin |
| 18 |
[GO] |
2023―Jun―15 |
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning |
Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, Jonathan Heras, Alireza Rahimi, Assef Zare, Yu-Dong Zhang, Ram Bilas Pachori, J. Manuel Gorriz |
| 19 |
[GO] |
2023―Apr―06 |
A decomposition-based multiobjective evolutionary algorithm using Simulated Annealing for the ambulance dispatching and relocation problem during COVID-19 |
Meriem Hemici, Djaafar Zouache, Boualem Brahmi, Adel Got, Habiba Drias |
| 20 |
[GO] |
2023―Mrz―25 |
A data-driven group emergency decision-making method based on interval-valued intuitionistic hesitant fuzzy sets and its application in COVID-19 pandemic |
Kang Du, Ruguo Fan, Yuanyuan Wang, Dongxue Wang, Rourou Qian, Bingqing Zhu |
| 21 |
[GO] |
2023―Mrz―16 |
Density estimation of SARS-CoV 2 spike proteins using super pixels segmentation technique |
Bakr Ahmed Taha, Qussay Al-Jubouri, Yousif Al Mashhadany, Mohd Hadri Hafiz Mokhtar, Mohd Saiful Dzulkefly Bin Zan, Ahmad Ashrif A. Bakar, Norhana Arsad |
| 22 |
[GO] |
2023―Mrz―08 |
An analytical tool to support public policies and isolation barriers against SARS-CoV-2 based on mobility patterns and socio-economic aspects |
Julio Cezar Soares Silva, Diogo Ferreira de Lima Silva, Nivan Roberto Ferreira Júnior, Adiel Teixeira de Almeida Filho |
| 23 |
[GO] |
2023―Feb―27 |
ModInterv COVID-19: An online platform to monitor the evolution of epidemic curves |
Arthur A. Brum, Giovani L. Vasconcelos, Gerson C. Duarte-Filho, Raydonal Ospina, Francisco A.G. Almeida, Antônio M.S. Macêdo |
| 24 |
[GO] |
2023―Jan―13 |
An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis |
Larissa Ferreira Rodrigues Moreira, Rodrigo Moreira, Bruno Augusto Nassif Travençolo, André Ricardo Backes |
| 25 |
[GO] |
2022―Dez―19 |
Post-pandemic healthcare for COVID-19 vaccine: Tissue-aware diagnosis of cervical lymphadenopathy via multi-modal ultrasound semantic segmentation |
Yue Gao, Xiangling Fu, Yuepeng Chen, Chenyi Guo, Ji Wu |
| 26 |
[GO] |
2022―Dez―13 |
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees |
Leonardo Lucio Custode, Federico Mento, Francesco Tursi, Andrea Smargiassi, Riccardo Inchingolo, Tiziano Perrone, Libertario Demi, Giovanni Iacca |
| 27 |
[GO] |
2022―Dez―12 |
Design of multimodal hub-and-spoke transportation network for emergency relief under COVID-19 pandemic: A meta-heuristic approach |
Chi Li, Peixiu Han, Min Zhou, Ming Gu |
| 28 |
[GO] |
2022―Dez―07 |
Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated convolutions neural network |
Gaffari Celik |
| 29 |
[GO] |
2022―Dez―01 |
Risk assessment approach for analyzing risk factors to overcome pandemic using interval-valued q-rung orthopair fuzzy decision making method |
Sukran Seker, Fatma Betül Bağlan, Nezir Aydin, Muhammet Deveci, Weiping Ding |
| 30 |
[GO] |
2022―Nov―25 |
Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning |
Linh T. Duong, Phuong T. Nguyen, Ludovico Iovino, Michele Flammini |
| 31 |
[GO] |
2022―Nov―25 |
A relax-and-fix Pareto-based algorithm for a bi-objective vaccine distribution network considering a mix-and-match strategy in pandemics |
Alireza Nikoubin, Mehdi Mahnam, Ghasem Moslehi |
| 32 |
[GO] |
2022―Nov―12 |
An optimization framework for COVID-19 vaccine allocation and inventory management: A case study |
Jamal Nahofti Kohneh, Masoud Amirdadi, Ebrahim Teimoury |
| 33 |
[GO] |
2022―Nov―02 |
Forecasting on Covid-19 infection waves using a rough set filter driven moving average models |
Saurabh Ranjan Srivastava, Yogesh Kumar Meena, Girdhari Singh |
| 34 |
[GO] |
2022―Okt―20 |
Deep learning modelling of public’s sentiments towards temporal evolution of COVID-19 transmission |
Ying Wang, Alvin Wei Ze Chew, Limao Zhang |
| 35 |
[GO] |
2022―Okt―17 |
McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices |
Sakshi Ahuja, Bijaya Ketan Panigrahi, Neelanjan Dey, Arpit Taneja, Tapan Kumar Gandhi |
| 36 |
[GO] |
2022―Sep―24 |
CodnNet: A lightweight CNN architecture for detection of COVID-19 infection |
Jingdong Yang, Lei Zhang, Xinjun Tang, Man Han |
| 37 |
[GO] |
2022―Sep―20 |
A fuzzy approach to support decision-making in the triage process for suspected COVID-19 patients in Brazil |
Nadya Regina Galo, Marcos Paulino Roriz, Rodrigo Pinheiro Tóffano Pereira |
| 38 |
[GO] |
2022―Sep―15 |
SUFEMO: A superpixel based fuzzy image segmentation method for COVID-19 radiological image elucidation |
Shouvik Chakraborty, Kalyani Mali |
| 39 |
[GO] |
2022―Sep―05 |
Twitter conversations predict the daily confirmed COVID-19 cases |
Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read |
| 40 |
[GO] |
2022―Sep―05 |
Analysis of the socioeconomic impact due to COVID-19 using a deep clustering approach |
Yullys Quintero, Douglas Ardila, Jose Aguilar, Santiago Cortes |
| 41 |
[GO] |
2022―Aug―29 |
Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss |
Ekram Chamseddine, Nesrine Mansouri, Makram Soui, Mourad Abed |
| 42 |
[GO] |
2022―Aug―27 |
Evolutionary algorithm based approach for solving transportation problems in normal and pandemic scenario |
Amiya Biswas, Sankar Kumar Roy, Sankar Prasad Mondal |
| 43 |
[GO] |
2022―Aug―17 |
Comprehensive analysis of pathways in Coronavirus 2019 (COVID-19) using an unsupervised machine learning method |
Golnaz Taheri, Mahnaz Habibi |
| 44 |
[GO] |
2022―Aug―01 |
An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic |
Afshin Ashofteh, Jorge M. Bravo, Mercedes Ayuso |
| 45 |
[GO] |
2022―Jul―30 |
A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices |
Omneya Attallah, Ahmed Samir |
| 46 |
[GO] |
2022―Jul―15 |
Forecasting daily Covid-19 cases in the world with a hybrid ARIMA and neural network model |
Lucas Rabelo de Araújo Morais, Gecynalda Soares da Silva Gomes |
| 47 |
[GO] |
2022―Jul―09 |
An optimal control policy in fighting Covid-19 and infectious diseases |
Hamid R. Sayarshad |
| 48 |
[GO] |
2022―Jun―30 |
The applications of MCDM methods in COVID-19 pandemic: A state of the art review |
Alireza Sotoudeh-Anvari |
| 49 |
[GO] |
2022―Jun―23 |
Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19 |
Ricardo Mar-Cupido, Vicente García, Gilberto Rivera, J. Salvador Sánchez |
| 50 |
[GO] |
2022―Jun―23 |
Multi-attention representation network partial domain adaptation for COVID-19 diagnosis |
Chunmei He, Lanqing Zheng, Taifeng Tan, Xianjun Fan, Zhengchun Ye |
| 51 |
[GO] |
2022―Jun―17 |
COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approach |
Dalton Borges, Mariá C.V. Nascimento |
| 52 |
[GO] |
2022―Jun―17 |
Exploring the mutual influence among the social innovation factors amid the COVID-19 pandemic |
Hadi Badri Ahmadi, Huai-Wei Lo, Pourya Pourhejazy, Himanshu Gupta, James J.H. Liou |
| 53 |
[GO] |
2022―Jun―06 |
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays |
Mohan Karnati, Ayan Seal, Geet Sahu, Anis Yazidi, Ondrej Krejcar |
| 54 |
[GO] |
2022―Jun―06 |
FCF: Feature complement fusion network for detecting COVID-19 through CT scan images |
Shu Liang, Rencan Nie, Jinde Cao, Xue Wang, Gucheng Zhang |
| 55 |
[GO] |
2022―Jun―03 |
QDS-COVID: A visual analytics system for interactive exploration of millions of COVID-19 healthcare records in Brazil |
Juan Carlos Carbajal Ipenza, Noemi Maritza Lapa Romero, Melina Loreto, Nivan Ferreira Júnior, João Luiz Dihl Comba |
| 56 |
[GO] |
2022―Mai―25 |
A novel behavioral three-way decision model with application to the treatment of mild symptoms of COVID-19 |
Shi-Fan He, Ying-Ming Wang, Xiao-Hong Pan, Kwai-Sang Chin |
| 57 |
[GO] |
2022―Mai―13 |
Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification |
Qinhua Hu, Francisco Nauber B. Gois, Rafael Costa, Lijuan Zhang, Ling Yin, Naercio Magai, Victor Hugo C. de Albuquerque |
| 58 |
[GO] |
2022―Mai―11 |
Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analyzing the death and recovery rates of the COVID-19 pandemic |
Felin Wilta, Allyson Li Chen Chong, Ganeshsree Selvachandran, Ketan Kotecha, Weiping Ding |
| 59 |
[GO] |
2022―Mai―10 |
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities |
Saul Calderon-Ramirez, Shengxiang Yang, David Elizondo, Armaghan Moemeni |
| 60 |
[GO] |
2022―Apr―30 |
Enhanced COVID-19 X-ray image preprocessing schema using type-2 neutrosophic set |
Mohamed Abdel-Basset, Nihal N. Mostafa, Karam M. Sallam, Ibrahim Elgendi, Kumudu Munasinghe |
| 61 |
[GO] |
2022―Apr―25 |
COVID-19 prognosis using limited chest X-ray images |
Arnab Kumar Mondal |
| 62 |
[GO] |
2022―Apr―22 |
A deep fuzzy model for diagnosis of COVID-19 from CT images |
Liping Song, Xinyu Liu, Shuqi Chen, Shuai Liu, Xiangbin Liu, Khan Muhammad, Siddhartha Bhattacharyya |
| 63 |
[GO] |
2022―Apr―18 |
Pre-trained ensemble model for identification of emotion during COVID-19 based on emergency response support system dataset |
K. Nimmi, B. Janet, A. Kalai Selvan, N. Sivakumaran |
| 64 |
[GO] |
2022―Apr―07 |
A comparative study for predictive monitoring of COVID-19 pandemic |
Binish Fatimah, Priya Aggarwal, Pushpendra Singh, Anubha Gupta |
| 65 |
[GO] |
2022―Mrz―29 |
COVID-WideNet-A capsule network for COVID-19 detection |
P.K. Gupta, Mohammad Khubeb Siddiqui, Xiaodi Huang, Ruben Morales-Menendez, Harsh Pawar, Hugo Terashima-Marin, Mohammad Saif Wajid |
| 66 |
[GO] |
2022―Mrz―29 |
CT-based severity assessment for COVID-19 using weakly supervised non-local CNN |
R. Karthik, R. Menaka, M. Hariharan, Deahan Won |
| 67 |
[GO] |
2022―Mrz―28 |
Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach |
Sujan Piya, Ahm Shamsuzzoha, Mohammed Khadem |
| 68 |
[GO] |
2022―Mrz―23 |
An FGM decomposition-based fuzzy MCDM method for selecting smart technology applications to support mobile health care during and after the COVID-19 pandemic |
Tin-Chih Toly Chen, Chi-Wei Lin |
| 69 |
[GO] |
2022―Mrz―09 |
Interpretable Temporal Attention Network for COVID-19 forecasting |
Binggui Zhou, Guanghua Yang, Zheng Shi, Shaodan Ma |
| 70 |
[GO] |
2022―Feb―03 |
A radiological image analysis framework for early screening of the COVID-19 infection: A computer vision-based approach |
Shouvik Chakraborty, Kalyani Mali |
| 71 |
[GO] |
2022―Jan―29 |
A novel improved SMA with quasi reflection operator: Performance analysis, application to the image segmentation problem of Covid-19 chest X-ray images |
Sukanta Nama |
| 72 |
[GO] |
2021―Dez―20 |
COVID-19 Symptoms app analysis to foresee healthcare impacts: Evidence from Northern Ireland |
José Sousa, João Barata, Hugo C van Woerden, Frank Kee |
| 73 |
[GO] |
2021―Dez―14 |
One shot model for the prediction of COVID-19 and lesions segmentation in chest CT scans through the affinity among lesion mask features |
Aram Ter-Sarkisov |
| 74 |
[GO] |
2021―Dez―13 |
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images |
Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang |
| 75 |
[GO] |
2021―Dez―09 |
Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray images |
Tripti Goel, R. Murugan, Seyedali Mirjalili, Deba Kumar Chakrabartty |
| 76 |
[GO] |
2021―Dez―09 |
Towards an efficient collection and transport of COVID-19 diagnostic specimens using genetic-based algorithms |
Takwa Tlili, Hela Masri, Saoussen Krichen |
| 77 |
[GO] |
2021―Dez―05 |
Fully automatic deep convolutional approaches for the analysis of COVID-19 using chest X-ray images |
Joaquim de Moura, Jorge Novo, Marcos Ortega |
| 78 |
[GO] |
2021―Nov―24 |
Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis |
Zhongwei Huang, Haijun Lei, Guoliang Chen, Haimei Li, Chuandong Li, Wenwen Gao, Yue Chen, Yaofa Wang, Haibo Xu, Guolin Ma, Baiying Lei |
| 79 |
[GO] |
2021―Nov―16 |
Novel multi-site graph convolutional network with supervision mechanism for COVID-19 diagnosis from X-ray radiographs |
Ahmed Elazab, Mohamed Abd Elfattah, Yuexin Zhang |
| 80 |
[GO] |
2021―Okt―13 |
An evolvable adversarial network with gradient penalty for COVID-19 infection segmentation |
Juanjuan He, Qi Zhu, Kai Zhang, Piaoyao Yu, Jinshan Tang |
| 81 |
[GO] |
2021―Okt―08 |
A two-layer nested heterogeneous ensemble learning predictive method for COVID-19 mortality |
Shaoze Cui, Yanzhang Wang, Dujuan Wang, Qian Sai, Ziheng Huang, T.C.E. Cheng |
| 82 |
[GO] |
2021―Okt―07 |
A deep learning ensemble approach to prioritize candidate drugs against novel coronavirus 2019-nCoV/SARS-CoV-2 |
Deepthi K., Jereesh A.S., Yuansheng Liu |
| 83 |
[GO] |
2021―Sep―27 |
A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images |
Hamad Naeem, Ali Abdulqader Bin-Salem |
| 84 |
[GO] |
2021―Sep―24 |
Ecotourism supply chain during the COVID-19 pandemic: A real case study |
Seyyed Mehdi Hosseini, Mohammad Mahdi Paydar, Mehdi Alizadeh, Chefi Triki |
| 85 |
[GO] |
2021―Sep―21 |
Classifying the degree of exposure of customers to COVID-19 in the restaurant industry: A novel intuitionistic fuzzy set extension of the TOPSIS-Sort |
Lanndon Ocampo, Reciel Ann Tanaid, Ann Myril Tiu, Egberto Selerio, Kafferine Yamagishi |
| 86 |
[GO] |
2021―Sep―08 |
An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images |
K. Shankar, Eswaran Perumal, Vicente García Díaz, Prayag Tiwari, Deepak Gupta, Abdul Khader Jilani Saudagar, Khan Muhammad |
| 87 |
[GO] |
2021―Aug―23 |
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning |
Xiaorui Su, Zhuhong You, Lei Wang, Lun Hu, Leon Wong, Boya Ji, Bowei Zhao |
| 88 |
[GO] |
2021―Aug―18 |
Disaster relief supply chain design for personal protection equipment during the COVID-19 pandemic |
Behzad Mosallanezhad, Vivek Kumar Chouhan, Mohammad Mahdi Paydar, Mostafa Hajiaghaei-Keshteli |
| 89 |
[GO] |
2021―Aug―13 |
A novel capacity sharing mechanism to collaborative activities in the blood collection process during the COVID-19 outbreak |
Mohammad Reza Ghatreh Samani, Seyyed-Mahdi Hosseini-Motlagh |
| 90 |
[GO] |
2021―Aug―05 |
Re-evaluation of the healthcare service quality criteria for the Covid-19 pandemic: Z-number fuzzy cognitive map |
Kamyar Sabri-Laghaie, Naeira Elyas Pour Babroudi, Nazli Ghanbari Ghoushchi |
| 91 |
[GO] |
2021―Jul―28 |
A stochastic bi-objective simulation-optimization model for plasma supply chain in case of COVID-19 outbreak |
Hossein Shirazi, Reza Kia, Peiman Ghasemi |
| 92 |
[GO] |
2021―Jul―25 |
Grey forecasting models based on internal optimization for Novel Corona virus (COVID-19) |
Akash Saxena |
| 93 |
[GO] |
2021―Jul―17 |
Designing a testing kit supply network for suspected COVID-19 cases under mixed uncertainty approach |
Seyyed-Mahdi Hosseini-Motlagh, Mohammad Reza Ghatreh Samani, Parnian Farokhnejad |
| 94 |
[GO] |
2021―Jul―14 |
Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the World |
Pınar Cihan |
| 95 |
[GO] |
2021―Jul―14 |
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans |
Rajarshi Bandyopadhyay, Arpan Basu, Erik Cuevas, Ram Sarkar |
| 96 |
[GO] |
2021―Jul―13 |
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images |
Saul Calderon-Ramirez, Shengxiang Yang, Armaghan Moemeni, David Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarría-Estrada, Miguel A. Molina-Cabello |
| 97 |
[GO] |
2021―Jul―10 |
An oppositional-cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis |
Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Abbas Khosravi, Mamoun Alazab, Saeid Nahavandi |
| 98 |
[GO] |
2021―Jul―07 |
Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression |
Minhui Dong, Cheng Tang, Junkai Ji, Qiuzhen Lin, Ka-Chun Wong |
| 99 |
[GO] |
2021―Jul―05 |
A new composite approach for COVID-19 detection in X-ray images using deep features |
Tayyip Ozcan |
| 100 |
[GO] |
2021―Jul―02 |
Identification and prioritization of strategies to tackle COVID-19 outbreak: A group-BWM based MCDM approach |
Naeem Ahmad, Md. Gulzarul Hasan, Rejaul Karim Barbhuiya |
| 101 |
[GO] |
2021―Jun―30 |
Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method |
Nurşah Alkan, Cengiz Kahraman |
| 102 |
[GO] |
2021―Jun―25 |
Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet |
Saleh Albahli, Nasir Ayub, Muhammad Shiraz |
| 103 |
[GO] |
2021―Jun―24 |
Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19 |
Onur Karaman, Adi Alhudhaif, Kemal Polat |
| 104 |
[GO] |
2021―Jun―24 |
Real-time prediction of COVID-19 patients health situations using Artificial Neural Networks and Fuzzy Interval Mathematical modelling |
Mohamed Ali Elleuch, Amal Ben Hassena, Mohamed Abdelhedi, Francisco Silva Pinto |
| 105 |
[GO] |
2021―Jun―17 |
Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19 |
Naresh Kumar, Seba Susan |
| 106 |
[GO] |
2021―Jun―09 |
Short-term prediction of COVID-19 spread using grey rolling model optimized by particle swarm optimization |
Zeynep Ceylan |
| 107 |
[GO] |
2021―Jun―06 |
A calibrated piecewise-linear FGM approach for travel destination recommendation during the COVID-19 pandemic |
Toly Chen, Yu-Cheng Wang |
| 108 |
[GO] |
2021―Jun―05 |
Machine learning-based forecasting of firemen ambulances’ turnaround time in hospitals, considering the COVID-19 impact |
Selene Cerna, Héber H. Arcolezi, Christophe Guyeux, Guillaume Royer-Fey, Céline Chevallier |
| 109 |
[GO] |
2021―Jun―02 |
Status evaluation of provinces affected by COVID-19: A qualitative assessment using fuzzy system |
Bappaditya Ghosh, Animesh Biswas |
| 110 |
[GO] |
2021―Mai―26 |
A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images |
Unais Sait, Gokul Lal K.V., Sanjana Shivakumar, Tarun Kumar, Rahul Bhaumik, Sunny Prajapati, Kriti Bhalla, Anaghaa Chakrapani |
| 111 |
[GO] |
2021―Mai―21 |
COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets |
SreeJagadeesh Malla, Alphonse P.J.A. |
| 112 |
[GO] |
2021―Mai―07 |
Learning where to look for COVID-19 growth: Multivariate analysis of COVID-19 cases over time using explainable convolution-LSTM |
Novanto Yudistira, Sutiman Bambang Sumitro, Alberth Nahas, Nelly Florida Riama |
| 113 |
[GO] |
2021―Apr―30 |
HSSAGA: Designation and scheduling of nurses for taking care of COVID-19 patients using novel method of Hybrid Salp Swarm Algorithm and Genetic Algorithm |
Moein Qaisari Hasan Abadi, Sara Rahmati, Abbas Sharifi, Mohsen Ahmadi |
| 114 |
[GO] |
2021―Apr―16 |
Interactive multi-criteria group decision-making with probabilistic linguistic information for emergency assistance of COVID-19 |
Shu-Ping Wan, Wen-Bo Huang Cheng, Jiu-Ying Dong |
| 115 |
[GO] |
2021―Apr―16 |
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection |
William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty |
| 116 |
[GO] |
2021―Mrz―20 |
A novel classifier architecture based on deep neural network for COVID-19 detection using laboratory findings |
Volkan Göreke, Vekil Sarı, Serdar Kockanat |
| 117 |
[GO] |
2021―Mrz―20 |
Federated learning for COVID-19 screening from Chest X-ray images |
Ines Feki, Sourour Ammar, Yousri Kessentini, Khan Muhammad |
| 118 |
[GO] |
2021―Mrz―18 |
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods |
Ahmet Saygılı |
| 119 |
[GO] |
2021―Mrz―11 |
A computational tool for trend analysis and forecast of the COVID-19 pandemic |
Henrique Mohallem Paiva, Rubens Junqueira Magalhães Afonso, Fabiana Mara Scarpelli de Lima Alvarenga Caldeira, Ester de Andrade Velasquez |
| 120 |
[GO] |
2021―Mrz―10 |
Mediative fuzzy logic mathematical model: A contradictory management prediction in COVID-19 pandemic |
M.K. Sharma, Nitesh Dhiman, Vishnu Narayan Mishra |
| 121 |
[GO] |
2021―Mrz―02 |
A causal framework to determine the effectiveness of dynamic quarantine policy to mitigate COVID-19 |
Werner Kristjanpoller, Kevin Michell, Marcel C. Minutolo |
| 122 |
[GO] |
2021―Feb―24 |
Utilizing IoT to design a relief supply chain network for the SARS-COV-2 pandemic |
Ali Zahedi, Amirhossein Salehi-Amiri, Neale R. Smith, Mostafa Hajiaghaei-Keshteli |
| 123 |
[GO] |
2021―Feb―24 |
Automated Detection of Covid-19 from Chest X-ray scans using an optimized CNN architecture |
Sameena Pathan, P.C. Siddalingaswamy, Tanweer Ali |
| 124 |
[GO] |
2021―Feb―21 |
MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services |
Fatih Ecer, Dragan Pamucar |
| 125 |
[GO] |
2021―Feb―21 |
Expeditious COVID-19 similarity measure tool based on consolidated SCA algorithm with mutation and opposition operators |
Mohamed Issa |
| 126 |
[GO] |
2021―Feb―21 |
Supply chain design to tackle coronavirus pandemic crisis by tourism management |
Faezeh Motevalli-Taher, Mohammad Mahdi Paydar |
| 127 |
[GO] |
2021―Feb―16 |
CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients |
Priyansh Kedia, Rahul Katarya |
| 128 |
[GO] |
2021―Feb―09 |
Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA) |
K.E. ArunKumar, Dinesh V. Kalaga, Ch. Mohan Sai Kumar, Govinda Chilkoor, Masahiro Kawaji, Timothy M. Brenza |
| 129 |
[GO] |
2021―Feb―08 |
DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images |
Fatih Demir |
| 130 |
[GO] |
2021―Feb―06 |
An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19) |
Arunodaya Raj Mishra, Pratibha Rani, R. Krishankumar, K.S. Ravichandran, Samarjit Kar |
| 131 |
[GO] |
2021―Jan―23 |
Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study |
Yajie Meng, Min Jin, Xianfang Tang, Junlin Xu |
| 132 |
[GO] |
2020―Dez―29 |
Multi-criterion Intelligent Decision Support system for COVID-19 |
Lakshita Aggarwal, Puneet Goswami, Shelly Sachdeva |
| 133 |
[GO] |
2020―Dez―26 |
Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA |
Klaifer Garcia, Lilian Berton |
| 134 |
[GO] |
2020―Dez―25 |
Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections |
Meenu Gupta, Rachna Jain, Soham Taneja, Gopal Chaudhary, Manju Khari, Elena Verdú |
| 135 |
[GO] |
2020―Dez―24 |
COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions |
Dalia Yousri, Mohamed Abd Elaziz, Laith Abualigah, Diego Oliva, Mohammed A.A. Al-qaness, Ahmed A. Ewees |
| 136 |
[GO] |
2020―Nov―25 |
Forecasting COVID-19 daily cases using phone call data |
Bahman Rostami-Tabar, Juan F. Rendon-Sanchez |
| 137 |
[GO] |
2020―Nov―19 |
CNN-based transfer learning-BiLSTM network: A novel approach for COVID-19 infection detection |
Muhammet Fatih Aslan, Muhammed Fahri Unlersen, Kadir Sabanci, Akif Durdu |
| 138 |
[GO] |
2020―Nov―12 |
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network |
Warda M. Shaban, Asmaa H. Rabie, Ahmed I. Saleh, M.A. Abo-Elsoud |
| 139 |
[GO] |
2020―Nov―10 |
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system |
Bo Wang, Shuo Jin, Haibo Xu, Chuan Luo, Lai Wei, Wei Zhao, Qingsen Yan, Xuexue Hou, Wenshuo Ma, Zhengqing Xu, Zhuozhao Zheng, Wenbo Sun, Lan Lan, Wei Zhang, Xiangdong Mu, Chenxin Shi, Zhongxiao Wang, Jihae Lee, Zijian Jin, Minggui Lin, Hongbo Jin, Liang Zhang, Jun Guo, Benqi Zhao, Zhizhong Ren, Shuhao Wang, Wei Xu, Xinghuan Wang, Jianming Wang, Zheng You, Jiahong Dong |
| 140 |
[GO] |
2020―Nov―09 |
A consensus model to manage the non-cooperative behaviors of individuals in uncertain group decision making problems during the COVID-19 outbreak |
Xiaofang Li, Huchang Liao, Zhi Wen |
| 141 |
[GO] |
2020―Nov―06 |
The ensemble deep learning model for novel COVID-19 on CT images |
Tao Zhou, Hui-ling Lu, Zaoli Yang, Shi Qiu, Bing-qiang Huo, Yali Dong |
| 142 |
[GO] |
2020―Okt―29 |
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray |
Anunay Gupta, Shreyansh Gupta, Rahul Katarya |
| 143 |
[GO] |
2020―Okt―14 |
Real-time neural network scheduling of emergency medical mask production during COVID-19 |
Chen-Xin Wu, Min-Hui Liao, Mumtaz Karatas, Sheng-Yong Chen, Yu-Jun Zheng |
| 144 |
[GO] |
2020―Okt―14 |
Assessing countries’ performances against COVID-19 via WSIDEA and machine learning algorithms |
Nezir Aydin, Gökhan Yurdakul |
| 145 |
[GO] |
2020―Okt―09 |
Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set |
Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito |
| 146 |
[GO] |
2020―Sep―28 |
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers-A study to show how popularity is affecting accuracy in social media |
Koyel Chakraborty, Surbhi Bhatia, Siddhartha Bhattacharyya, Jan Platos, Rajib Bag, Aboul Ella Hassanien |
| 147 |
[GO] |
2020―Sep―23 |
Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN |
R. Karthik, R. Menaka, Hariharan M. |
| 148 |
[GO] |
2020―Sep―22 |
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization |
Dalia Ezzat, Aboul Ella Hassanien, Hassan Aboul Ella |
| 149 |
[GO] |
2020―Sep―03 |
Analyzing COVID-19 virus based on enhanced fragmented biological Local Aligner using improved Ions Motion Optimization algorithm |
Mohamed Issa, Mohamed Abd Elaziz |
| 150 |
[GO] |
2020―Aug―30 |
Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network |
Gonçalo Marques, Deevyankar Agarwal, Isabel de la Torre Díez |
| 151 |
[GO] |
2020―Aug―29 |
A data-driven understanding of COVID-19 dynamics using sequential genetic algorithm based probabilistic cellular automata |
Sayantari Ghosh, Saumik Bhattacharya |
| 152 |
[GO] |
2020―Aug―13 |
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks |
Barenya Bikash Hazarika, Deepak Gupta |
| 153 |
[GO] |
2020―Aug―07 |
A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak |
Abbas Mardani, Mahyar Kamali Saraji, Arunodaya Raj Mishra, Pratibha Rani |
| 154 |
[GO] |
2020―Jul―28 |
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization |
Majid Nour, Zafer Cömert, Kemal Polat |
| 155 |
[GO] |
2020―Apr―10 |
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction |
Simon James Fong, Gloria Li, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma |
