Pandemic Management for Diseases Similar to COVID-19 Using Deep Learning and 5G Communications

Digital technology and COVID-19

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A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact

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Cancer, COVID-19 and the precautionary principle: prioritizing treatment during a global pandemic

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Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics

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A Crowdsourcing Framework for On-Device Federated Learning

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Security and Privacy for the Internet of Medical Things Enabled Healthcare Systems: A Survey

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MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients

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The Role of Blockchain to Fight Against COVID-19

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IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution

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The Fight Against the COVID-19 Pandemic With 5G Technologies

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EEG-Based Pathology Detection for Home Health Monitoring

Muhammad, G., Hossain, M. S., & Kumar, N. (2021) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3020654 · Cited by 148 · see citing works

Urban Healthcare Big Data System Based on Crowdsourced and Cloud-Based Air Quality Indicators

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Computing and Processing on the Edge: Smart Pathology Detection for Connected Healthcare

Muhammad, G., Alhamid, M. F., & Long, X. (2019) · IEEE Network · doi:10.1109/mnet.001.1900045 · Cited by 76 · see citing works

A Deep-Learning-Based Edge-Centric COVID-19-Like Pandemic Screening and Diagnosis System within a B5G Framework Using Blockchain

Muhammad, G., & Hossain, M. S. (2021) · IEEE Network · doi:10.1109/mnet.011.2000326 · Cited by 36 · see citing works

Tree-Based Deep Networks for Edge Devices

Muhammad, G., Hossain, M. S., & Yassine, A. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2950326 · Cited by 32 · see citing works

Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues

Rahman, A., Hossain, M. S., Muhammad, G., Kundu, D., Debnath, T., Rahman, M., Khan, M. S. I., Tiwari, P., & Band, S. S. (2023) · Cluster Computing · doi:10.1007/s10586-022-03658-4 · Cited by 399 · see citing works

Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence

Nafisah, S. I., & Muhammad, G. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07258-6 · Cited by 157 · see citing works

Automated detection and forecasting of COVID-19 using deep learning techniques: A review

Shoeibi, A., Khodatars, M., Jafari, M., Ghassemi, N., Sadeghi, D., Moridian, P., Khadem, A. A., Alizadehsani, R., Hussain, S., Zare, A., et al. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.127317 · Cited by 297 · see citing works

A comprehensive and systematic review of the IoT-based medical management systems: Applications, techniques, trends and open issues

Zhang, G., & Navimipour, N. J. (2022) · Sustainable Cities and Society · doi:10.1016/j.scs.2022.103914 · Cited by 74 · see citing works

Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis

Hernandez-Cruz, N., Saha, P., Sarker, M. M. K., & Noble, J. A. (2024) · Big Data and Cognitive Computing · doi:10.3390/bdcc8090099 · Cited by 48 · see citing works

Unlocking a Promising Future: Integrating Blockchain Technology and FL-IoT in the Journey to 6G

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A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19 Detection

Nafisah, S. I., Muhammad, G., Hossain, M. S., & AlQahtani, S. A. (2023) · Mathematics · doi:10.3390/math11061489 · Cited by 38 · see citing works

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework

Ding, W., Abdel‐Basset, M., Hawash, H., Pratama, M., & Pedrycz, W. (2023) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2023.3245103 · Cited by 22 · see citing works

Enhancing Medical Services Through Machine Learning and UAV Technology

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Proactive Caching in D2D Assisted Multitier Cellular Network

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A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine

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A Data Taxonomy for Adaptive Multifactor Authentication in the Internet of Health Care Things

Suleski, T., & Ahmed, M. (2023) · Journal of Medical Internet Research · doi:10.2196/44114 · Cited by 11 · see citing works

Advanced Mobile Communication Techniques in the Fight against the COVID-19 Pandemic Era and Beyond: An Overview of 5G/B5G/6G

Lin, C., & Chang, S. (2023) · Sensors · doi:10.3390/s23187817 · Cited by 7 · see citing works

Tuberculosis Disease Detection through CXR Images based on Deep Neural Network Approach

Patil, D. H., & Gadekar, A. (2023) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v11i7s.6981 · Cited by 6 · see citing works

Revolutionizing healthcare with 5 G and AI: Integrating emerging technologies for personalized care and cancer management

Kumar, A., Yadav, J. P., Maheshwari, S., Singh, A., Srivastava, V., Khalilullah, H., & Verma, A. (2025) · Intelligent Hospital · doi:10.1016/j.inhs.2025.100005 · Cited by 6 · see citing works

Federated learning for privacy-preserving multi-center tuberculosis diagnosis using chest imaging data

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Audit Data Traceability and Verification System Based on Blockchain Technology and Deep Learning

Zhao, Y. (2024) · International Conference on Telecommunications and Power Electronics (TELEPE) · doi:10.1109/telepe64216.2024.00020 · Cited by 4 · see citing works

Toward Agile Information and Communication Framework for the Post-COVID-19 Era

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A Fuzzy Method for Joint Resource Allocation and Stable Pairing in D2D Communications

Pourmoslemi, A., Rajabi, S., Salimi, M., & Феррара, М. (2022) · Applied Sciences · doi:10.3390/app12031343 · Cited by 4 · see citing works

Computer Intelligent Course Scheduling System Based on Deep Learning

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Tuberculosis Detection Using a Deep Neural Network

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A Study of Deep Learning and Blockchain-Federated Learning Models for Covid-19 Identification Utilizing CT Imaging

Pathak, A. K., Sharma, S. K., Singh, A., Pandey, S., Yamsani, N., & Singh, R. (2023) · IEEE World Conference on Applied Intelligence and Computing (AIC) · doi:10.1109/aic57670.2023.10263905 · Cited by 3 · see citing works

Securing the Sustainable 5G Enabled IoMT-Fog Computing Environment: A Blockchain-Based Approach

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FLPanGuard a Conceptual FL-Based Framework to Detect and Fight New Pandemics

Chouja, I., Saoud, S., Sadik, M., & Sbaï, A. (2024) · International Journal of Online and Biomedical Engineering (iJOE) · doi:10.3991/ijoe.v20i16.51895 · Cited by 1 · see citing works

Enhancing pandemic surveillance and testing: a simulation modeling study utilizing german multicenter data with federated machine learning

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A multi-prefecture study applying multivariate approaches for predicting and demystifying weather data variations affect COVID-19 spread

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Cascaded Deep Learning Model for Detecting Lung Infections Using Chest X-Rays

Chaturvedi, A., & Soni, S. (2024) · SMART MOVES JOURNAL IJOSCIENCE · doi:10.24113/ijoscience.v10i4.498 · Cited by 1 · see citing works

Data Interpretation Driven by Algebra of Time-Dependent Operators

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A Systematic Mapping Review of COVID 19 Data Feature for Infection Detection

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Artificial Intelligence Advanced Technology IoT, 5G Robots, and Drones to Combat COVID-19

Padmaand, K. R., & Don, K. R. (2022) · CRC Press eBooks · doi:10.1201/9781003181613-13

AIoT Used for COVID-19 Pandemic Prevention and Control

Chen, S., Gu, X.-W., Wang, J.-J., & Zhu, H. (2021) · Contrast Media & Molecular Imaging · doi:10.1155/2021/3257035 · Cited by 38 · see citing works

Application of IoT, AI, and 5G in the Fight Against the COVID-19 Pandemic

Muhammad, M., & Al-turjman, F. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-60188-1_10 · Cited by 1 · see citing works

Cyber Secure AIoT Applications in Future Pandemics

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Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review

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