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original article |
Date |
Title |
Authors All Authors |
1 |
[GO] |
2023―May―29 |
Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review |
Sunday Adeola Ajagbe, Matthew O. Adigun |
2 |
[GO] |
2023―May―27 |
Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases |
Manisha Panjeta, Aryan Reddy, Rushabh Shah, Jash Shah |
3 |
[GO] |
2023―May―20 |
COVID-19 Detection using adopted convolutional neural networks and high-performance computing |
Anil Kumar Singh, Ankit Kumar, Vinay Kumar, Shiv Prakash |
4 |
[GO] |
2023―May―12 |
HQDCNet: Hybrid Quantum Dilated Convolution Neural Network for detecting covid-19 in the context of Big Data Analytics |
Nagamani Tenali, Gatram Rama Mohan Babu |
5 |
[GO] |
2023―May―12 |
Multiresolution analysis for COVID-19 diagnosis from chest CT images: wavelet vs. contourlet transforms |
Lamiaa Abdel-Hamid |
6 |
[GO] |
2023―May―11 |
Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network |
Soumen Kumar Pati, Manan Kumar Gupta, Ayan Banerjee, Rinita Shai, Palaiahnakote Shivakumara |
7 |
[GO] |
2023―May―05 |
Untargeted white-box adversarial attack to break into deep leaning based COVID-19 monitoring face mask detection system |
Burhan Ul haque Sheikh, Aasim Zafar |
8 |
[GO] |
2023―Apr―26 |
X-Ray image-based COVID-19 detection using deep learning |
Aleka Melese Ayalew, Ayodeji Olalekan Salau, Yibeltal Tamyalew, Bekalu Tadele Abeje, Nigus Woreta |
9 |
[GO] |
2023―Mar―29 |
Automatic diagnosis of COVID-19 related respiratory diseases from speech |
Kushan Shekhar, Nagaratna B. Chittaragi, Shashidhar G. Koolagudi |
10 |
[GO] |
2023―Mar―27 |
Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging |
Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida |
11 |
[GO] |
2023―Mar―20 |
Optimal feature selection for COVID-19 detection with CT images enabled by metaheuristic optimization and artificial intelligence |
Dattaprasad A. Torse, Rajashri Khanai, Krishna Pai, Sridhar Iyer, Swati Mavinkattimath, Rakhee Kallimani, Salma Shahpur |
12 |
[GO] |
2023―Mar―15 |
Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review |
Yogesh H. Bhosale, K. Sridhar Patnaik |
13 |
[GO] |
2023―Mar―08 |
COVID-19 radiograph prognosis using a deep CResNeXt network |
Dhirendra P. Yadav, Anand Singh Jalal, Ayush Goyal, Avdesh Mishra, Khem Uprety, Nirmal Guragai |
14 |
[GO] |
2023―Mar―06 |
Deep learning-based technique for lesions segmentation in CT scan images for COVID-19 prediction |
Mouna Afif, Riadh Ayachi, Yahia Said, Mohamed Atri |
15 |
[GO] |
2023―Mar―04 |
Neural networks contribution in face mask detection to reduce the spread of COVID-19 |
Maminiaina Alphonse Rafidison, Andry Harivony Rakotomihamina, Sabine Harisoa Jacques Rafanantenana, Rajaonarison Faniriharisoa Maxime Toky, Mirado Mike Noé Raoelina, Hajasoa Malalatiana Ramafiarisona |
16 |
[GO] |
2023―Mar―02 |
Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data |
Amit K. Shukla, Taniya Seth, Pranab K. Muhuri |
17 |
[GO] |
2023―Feb―22 |
A new sentiment analysis method to detect and Analyse sentiments of Covid-19 moroccan tweets using a recommender approach |
Youness Madani, Mohammed Erritali, Belaid Bouikhalene |
18 |
[GO] |
2023―Feb―21 |
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans |
Pulkit Sharma, Rhythm Arya, Richa Verma, Bindu Verma |
19 |
[GO] |
2022―Dec―19 |
A new model for classification of medical CT images using CNN: a COVID-19 case study |
Pedro Moises de Sousa, Pedro Cunha Carneiro, Gabrielle Macedo Pereira, Mariane Modesto Oliveira, Carlos Alberto da Costa Junior, Luis Vinicius de Moura, et al. (+4) Christian Mattjie, Ana Maria Marques da Silva, Túlio Augusto Alves Macedo, Ana Claudia Patrocinio |
20 |
[GO] |
2022―Dec―03 |
LWSNet - a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery |
Asifuzzaman Lasker, Mridul Ghosh, Sk Md Obaidullah, Chandan Chakraborty, Kaushik Roy |
21 |
[GO] |
2022―Nov―28 |
An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis |
Marwa Sharaf, Ezz El-Din Hemdan, Ayman El-Sayed, Nirmeen A. El-Bahnasawy |
22 |
[GO] |
2022―Nov―25 |
COVID-19 risk reduce based YOLOv4-P6-FaceMask detector and DeepSORT tracker |
Mohammed Lakhdar Mokeddem, Mebarka Belahcene, Salah Bourennane |
23 |
[GO] |
2022―Nov―24 |
Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone |
Madhusudan G. Lanjewar, Arman Yusuf Shaikh, Jivan Parab |
24 |
[GO] |
2022―Nov―18 |
Future forecasting prediction of Covid-19 using hybrid deep learning algorithm |
Ganesh Yenurkar, Sandip Mal |
25 |
[GO] |
2022―Oct―24 |
Ensemble hybrid model for Hindi COVID-19 text classification with metaheuristic optimization algorithm |
Vipin Jain, Kanchan Lata Kashyap |
26 |
[GO] |
2022―Oct―22 |
Automatic facial emotion recognition at the COVID-19 pandemic time |
Giovanna Castellano, Berardina De Carolis, Nicola Macchiarulo |
27 |
[GO] |
2022―Sep―30 |
Face mask detection and social distance monitoring system for COVID-19 pandemic |
Iram Javed, Muhammad Atif Butt, Samina Khalid, Tehmina Shehryar, Rashid Amin, Adeel Muzaffar Syed, Marium Sadiq |
28 |
[GO] |
2022―Sep―27 |
A COVID-19 X-ray image classification model based on an enhanced convolutional neural network and hill climbing algorithms |
Ashwini Kumar Pradhan, Debahuti Mishra, Kaberi Das, Mohammad S. Obaidat, Manoj Kumar |
29 |
[GO] |
2022―Sep―21 |
A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images |
Ebenezer Jangam, Chandra Sekhara Rao Annavarapu, Aaron Antonio Dias Barreto |
30 |
[GO] |
2022―Sep―20 |
Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays |
B Anilkumar, K Srividya, A Mary Sowjanya |
31 |
[GO] |
2022―Sep―20 |
CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays |
Hassaan Malik, Tayyaba Anees, Muizzud Din, Ahmad Naeem |
32 |
[GO] |
2022―Sep―16 |
Multi-modal fusion of deep transfer learning based COVID-19 diagnosis and classification using chest x-ray images |
A. Siva Krishna Reddy, K. N. Brahmaji Rao, Narasimha Reddy Soora, Kotte Shailaja, N. C. Santosh Kumar, Abel Sridharan, J. Uthayakumar |
33 |
[GO] |
2022―Sep―08 |
AI-based face mask detection system: a straightforward proposition to fight with Covid-19 situation |
Ruchi Jayaswal, Manish Dixit |
34 |
[GO] |
2022―Sep―03 |
A novel service robot assignment approach for COVID-19 infected patients: a case of medical data driven decision making |
Kalyan Kumar Jena, Soumya Ranjan Nayak, Sourav Kumar Bhoi, K. D. Verma, Deo Prakash, Abhishek Gupta |
35 |
[GO] |
2022―Aug―27 |
COVID-19: Social distancing monitoring using faster-RCNN and YOLOv3 algorithms |
Umang Ahuja, Sunil Singh, Munish Kumar, Krishan Kumar, Monika Sachdeva |
36 |
[GO] |
2022―Aug―09 |
Improved COVID-19 detection with chest x-ray images using deep learning |
Vedika Gupta, Nikita Jain, Jatin Sachdeva, Mudit Gupta, Senthilkumar Mohan, Mohd Yazid Bajuri, Ali Ahmadian |
37 |
[GO] |
2022―Aug―03 |
AI-driven deep and handcrafted features selection approach for Covid-19 and chest related diseases identification |
Saleh Albahli, Talha Meraj, Chinmay Chakraborty, Hafiz Tayyab Rauf |
38 |
[GO] |
2022―Aug―01 |
Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images |
Ajay Sharma, Pramod Kumar Mishra |
39 |
[GO] |
2022―Jul―30 |
Towards smart surveillance as an aftereffect of COVID-19 outbreak for recognition of face masked individuals using YOLOv3 algorithm |
Saurav Kumar, Drishti Yadav, Himanshu Gupta, Mohit Kumar, Om Prakash Verma |
40 |
[GO] |
2022―Jul―25 |
Sentiment analysis of COVID-19 social media data through machine learning |
Dharmendra Dangi, Dheeraj K. Dixit, Amit Bhagat |
41 |
[GO] |
2022―Jun―15 |
Correction to: Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review |
Amir Masoud Rahmani, Elham Azhir, Morteza Naserbakht, Mokhtar Mohammadi, Adil Hussein Mohammed Aldalwie, Mohammed Kamal Majeed, et al. (+2) Sarkhel H. Taher Karim, Mehdi Hosseinzadeh |
42 |
[GO] |
2022―May―10 |
Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier |
Malathy Jawahar, J. Prassanna, Vinayakumar Ravi, L. Jani Anbarasi, S. Graceline Jasmine, R. Manikandan, et al. (+2) Ramesh Sekaran, Suthendran Kannan |
43 |
[GO] |
2022―May―05 |
Face mask detection in COVID-19: a strategic review |
Neeru Jindal, Harpreet Singh, Prashant Singh Rana |
44 |
[GO] |
2022―Apr―27 |
Diagnosing and differentiating viral pneumonia and COVID-19 using X-ray images |
Hakan Kör, Hasan Erbay, Ahmet Haşim Yurttakal |
45 |
[GO] |
2022―Apr―20 |
Implementation of smart social distancing for COVID-19 based on deep learning algorithm |
Izaz Ul Haq, Xianjun Du, Haseeb Jan |
46 |
[GO] |
2022―Apr―20 |
A face detection ensemble to monitor the adoption of face masks inside the public transportation during the COVID-19 pandemic |
João Paulo Canário, Marcos Vinícius Ferreira, Junot Freire, Matheus Carvalho, Ricardo Rios |
47 |
[GO] |
2022―Apr―08 |
DGCNN: deep convolutional generative adversarial network based convolutional neural network for diagnosis of COVID-19 |
Saloni Laddha, Vijay Kumar |
48 |
[GO] |
2022―Apr―07 |
COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning |
Arman Haghanifar, Mahdiyar Molahasani Majdabadi, Younhee Choi, S. Deivalakshmi, Seokbum Ko |
49 |
[GO] |
2022―Apr―01 |
Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review |
Amir Masoud Rahmani, Elham Azhir, Morteza Naserbakht, Mokhtar Mohammadi, Adil Hussein Mohammed Aldalwie, Mohammed Kamal Majeed, et al. (+2) Sarkhel H. Taher Karim, Mehdi Hosseinzadeh |
50 |
[GO] |
2022―Mar―28 |
Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient |
Rahul Kumar, Ridhi Arora, Vipul Bansal, Vinodh J Sahayasheela, Himanshu Buckchash, Javed Imran, et al. (+3) Narayanan Narayanan, Ganesh N Pandian, Balasubramanian Raman |
51 |
[GO] |
2022―Mar―15 |
Perspective of AI system for COVID-19 detection using chest images: a review |
Dolly Das, Saroj Kumar Biswas, Sivaji Bandyopadhyay |
52 |
[GO] |
2022―Mar―10 |
Registration of computed tomography images of a lung infected with COVID-19 based in the new meta-heuristic algorithm HPSGWO |
Hedifa Dida, Fella Charif, Abderrazak Benchabane |
53 |
[GO] |
2022―Mar―08 |
Quantifying prognosis severity of COVID-19 patients from deep learning based analysis of CT chest images |
Ashish Rana, Harpreet Singh, Ravimohan Mavuduru, Smita Pattanaik, Prashant Singh Rana |
54 |
[GO] |
2022―Mar―07 |
Neural perceptron & strict lossless secret sharing oriented cryptographic science: fostering patients’ security in the “new normal” COVID-19 E-Health |
Joydeep Dey, Anirban Bhowmik, Sunil Karforma |
55 |
[GO] |
2022―Mar―03 |
Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans |
Francis Jesmar Montalbo |
56 |
[GO] |
2022―Feb―23 |
Machine learning-based automatic detection of novel coronavirus (COVID-19) disease |
Anuja Bhargava, Atul Bansal, Vishal Goyal |
57 |
[GO] |
2022―Feb―23 |
Recognizing COVID-19 from chest X-ray images for people in rural and remote areas based on deep transfer learning model |
Mamoun Qjidaa, Anass Ben-Fares, Hicham Amakdouf, Mostafa El Mallahi, Badre-eddine Alami, Mustapha Maaroufi, et al. (+2) Ahmed Lakhssassi, Hassan Qjidaa |
58 |
[GO] |
2022―Feb―16 |
Measuring the impact of social drive across social media forums: a case study of COVID-19 |
Mahmoud Oglah Al Hasan Baniata, Sohail Asghar |
59 |
[GO] |
2022―Jan―08 |
COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic |
Sayanta Paul, Sriparna Saha, Jyoti Prakash Singh |
60 |
[GO] |
2022―Jan―06 |
Pioneering AI, Data Science and Multimedia Techniques and Findings for COVID-19 |
|
61 |
[GO] |
2022―Jan―03 |
COVID-19 outbreak and the role of digital twin |
Saleh Alrashed, Nasro Min-Allah, Ijaz Ali, Rashid Mehmood |
62 |
[GO] |
2021―Dec―22 |
Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis |
Anupam Das |
63 |
[GO] |
2021―Sep―21 |
A Fine-tuned deep convolutional neural network for chest radiography image classification on COVID-19 cases |
Amiya Kumar Dash, Puspanjali Mohapatra |
64 |
[GO] |
2021―Sep―13 |
Automatic deep learning system for COVID-19 infection quantification in chest CT |
Omar Ibrahim Alirr |
65 |
[GO] |
2021―Sep―08 |
Detection of novel coronavirus from chest X-rays using deep convolutional neural networks |
Shashwat Sanket, M. Vergin Raja Sarobin, L. Jani Anbarasi, Jayraj Thakor, Urmila Singh, Sathiya Narayanan |
66 |
[GO] |
2021―Aug―31 |
ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images |
Rohit Kundu, Pawan Kumar Singh, Massimiliano Ferrara, Ali Ahmadian, Ram Sarkar |
67 |
[GO] |
2021―Aug―17 |
Enabling remote learning system for virtual personalized preferences during COVID-19 pandemic |
Sadia Ali, Yaser Hafeez, Muhammad Azeem Abbas, Muhammad Aqib, Asif Nawaz |
68 |
[GO] |
2021―Jul―19 |
Deep learning based detection of COVID-19 from chest X-ray images |
Sarra Guefrechi, Marwa Ben Jabra, Adel Ammar, Anis Koubaa, Habib Hamam |
69 |
[GO] |
2021―Jun―28 |
Deep learning empowered COVID-19 diagnosis using chest CT scan images for collaborative edge-cloud computing platform |
Vipul Kumar Singh, Maheshkumar H. Kolekar |
70 |
[GO] |
2021―Jun―24 |
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning |
João O. B. Diniz, Darlan B. P. Quintanilha, Antonino C. Santos Neto, Giovanni L. F. da Silva, Jonnison L. Ferreira, Stelmo M. B. Netto, et al. (+15) José D. L. Araújo, Luana B. Da Cruz, Thamila F. B. Silva, Caio M. da S. Martins, Marcos M. Ferreira, Venicius G. Rego, José M. C. Boaro, Carolina L. S. Cipriano, Aristófanes C. Silva, Anselmo C. de Paiva, Geraldo Braz Junior, João D. S. de Almeida, Rodolfo A. Nunes, Roberto Mogami, M. Gattass |
71 |
[GO] |
2021―Jun―14 |
A study on the sentiments and psychology of twitter users during COVID-19 lockdown period |
Ishaani Priyadarshini, Pinaki Mohanty, Raghvendra Kumar, Rohit Sharma, Vikram Puri, Pradeep Kumar Singh |
72 |
[GO] |
2021―Mar―21 |
Tree parity machine guided patients’ privileged based secure sharing of electronic medical record: cybersecurity for telehealth during COVID-19 |
Arindam Sarkar, Moumita Sarkar |
73 |
[GO] |
2021―Mar―03 |
Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review |
Anuja Bhargava, Atul Bansal |
74 |
[GO] |
2021―Mar―01 |
Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment |
Sunil Singh, Umang Ahuja, Munish Kumar, Krishan Kumar, Monika Sachdeva |
75 |
[GO] |
2021―Jan―22 |
PSO-Blockchain-based image steganography: towards a new method to secure updating and sharing COVID-19 data in decentralised hospitals intelligence architecture |
A. H. Mohsin, A. A. Zaidan, B. B. Zaidan, K. I. Mohammed, O. S. Albahri, A. S. Albahri, M. A. Alsalem |
76 |
[GO] |
2021―Jan―07 |
Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms |
Ibrahim Arpaci, Shigao Huang, Mostafa Al-Emran, Mohammed N. Al-Kabi, Minfei Peng |
77 |
[GO] |
2020―Nov―08 |
AI aiding in diagnosing, tracking recovery of COVID-19 using deep learning on Chest CT scans |
Maheshwar Kuchana, Amritesh Srivastava, Ronald Das, Justin Mathew, Atul Mishra, Kiran Khatter |
78 |
[GO] |
2020―Oct―06 |
A novel comparative study for detection of Covid-19 on CT lung images using texture analysis, machine learning, and deep learning methods |
Huseyin Yasar, Murat Ceylan |