ArticleIEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council2022
Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics.
Article in IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Certificateless aggregate signcryption scheme with multi-ciphertext equality test for the internet of vehicles.PloS one · 2025Article
- Digital twin-driven prognostics and health management for industrial assets.Scientific reports · 2024Article
- Biosensor-Based Multimodal Deep Human Locomotion Decoding via Internet of Healthcare Things.Micromachines · 2023Article
- A Comprehensive Review of Digital Twin from the Perspective of Total Process: Data, Models, Networks and Applications.Sensors (Basel, Switzerland) · 2023Review
- Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images.Biomedical signal processing and control · 2023Article
- A comprehensive systematic and bibliometric review of the IoT-based healthcare systems.Cluster computing · 2023Review
- A Survey of COVID-19 Diagnosis Using Routine Blood Tests with the Aid of Artificial Intelligence Techniques.Diagnostics (Basel, Switzerland) · 2023Review
- A Machine-Learning-Blockchain-Based Authentication Using Smart Contracts for an IoHT System.Sensors (Basel, Switzerland) · 2022Article
- Efficient and Secure WiFi Signal Booster via Unmanned Aerial Vehicles WiFi Repeater Based on Intelligence Based Localization Swarm and Blockchain.Micromachines · 2022Article
- DAD-Net: Classification of Alzheimer's Disease Using ADASYN Oversampling Technique and Optimized Neural Network.Molecules (Basel, Switzerland) · 2022Article
- Role of Drone Technology Helping in Alleviating the COVID-19 Pandemic.Micromachines · 2022Review
- Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation.Sensors (Basel, Switzerland) · 2022Article
- Mutational Slime Mould Algorithm for Gene Selection.Biomedicines · 2022Article
- Risk Assessment-Oriented Design of a Needle Insertion Robotic System for Non-Resectable Liver Tumors.Healthcare (Basel, Switzerland) · 2022Article
- Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.Computational intelligence and neuroscience · 2022Article
- Application and Feasibility Study of Integrated Nursing Information Construction in Nephrology Nursing.Journal of healthcare engineering · 2022Article
- Application of Artificial Intelligence Nuclear Medicine Automated Images Based on Deep Learning in Tumor Diagnosis.Journal of healthcare engineering · 2022Article
- Different Associated Aspects That Influence Complication Rates on Clinical PKP Surgery Using Smart Medical Big Data.Journal of healthcare engineering · 2022Article
- Application of the Improved Clustering Algorithm in Operating Room Nursing Recommendation under the Background of Medical Big Data.Journal of healthcare engineering · 2022Article
- Investigation of the Disparities in Ultrasound Imaging Features of miR-323, miR-409-3p, and VEGF Expression Scales in Different Clinicopathological Features of Prostate Carcinoma and Their Correlation with Prognosis.BioMed research international · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purposes are to explore the effect of Digital Twins (DTs) in Unmanned Aerial Vehicles (UAVs) on providing medical resources quickly and accurately during COVID-19 prevention and control. The feasibility of UAV DTs during COVID-19 prevention and control is analyzed. Deep Learning (DL) algorithms are introduced. A UAV DTs information forecasting model is constructed based on improved AlexNet, whose performance is analyzed through simulation experiments. As end-users and task proportion increase, the proposed model can provide smaller transmission delays, lesser energy consumption in throughput demand, shorter task completion time, and higher resource utilization rate under reduced transmission power than other state-of-art models. Regarding forecasting accuracy, the proposed model can provide smaller errors and better accuracy in Signal-to-Noise Ratio (SNR), bit quantizer, number of pilots, pilot pollution coefficient, and number of different antennas. Specifically, its forecasting accuracy reaches 95.58% and forecasting velocity stabilizes at about 35 Frames-Per-Second (FPS). Hence, the proposed model has stronger robustness, making more accurate forecasts while minimizing the data transmission errors. The research results can reference the precise input of medical resources for COVID-19 prevention and control.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.