Digital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients

S Khan, S Ullah, HU Khan… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The deadly coronavirus disease (COVID-19) has highlighted the importance of remote
health monitoring (RHM). The digital-twins (DTs) paradigm enables RHM by creating a …

Scheduling of Low-Latency Medical Services in Healthcare Cloud with Deep Reinforcement Learning

H Du, M Liu, N Liu, D Li, W Li… - Tsinghua Science and …, 2024 - ieeexplore.ieee.org
In the current landscape of online data services, data transmission and cloud computing are
often controlled separately by Internet Service Providers (ISPs) and cloud providers …

Leveraging chaos for enhancing encryption and compression in large cloud data transfers

S Bhattacharjee, H Sharma, T Choudhury… - The Journal of …, 2024 - Springer
One of the routine exercises to manage and improve the performance and utility of the cloud
is the migration or transfer of cloud data whether it is large or small. However, it is extremely …

Integrating Artificial Intelligence in Power Plant Management: A Review of Recent Applications and Future Directions

F Alhusaini, S Yaakob… - Journal Of Electrical …, 2024 - search.proquest.com
A significant development in the global energy sector, the incorporation of Artificial
Intelligence (AI) into power plant operations aims to improve sustainability, efficiency, and …

FogROS2-PLR: Probabilistic Latency-Reliability For Cloud Robotics

K Chen, N Tian, C Juette, T Qiu, L Ren… - arXiv preprint arXiv …, 2024 - arxiv.org
Cloud robotics enables robots to offload computationally intensive tasks to cloud servers for
performance, cost, and ease of management. However, the network and cloud computing …

The Impact of Federated Learning on Improving the IoT-Based Network in a Sustainable Smart Cities

MA Naeem, Y Meng, S Chaudhary - Electronics, 2024 - search.proquest.com
The caching mechanism of federated learning in smart cities is vital for improving data
handling and communication in IoT environments. Because it facilitates learning among …

ECDSA-secured blockchain architecture for interoperable healthcare in the Internet of Robotic Things (IoRT)

A Echikr, A Yachir, CA Kerrache… - … Security Journal: A …, 2024 - Taylor & Francis
The ever-growing Internet of Robotic Things (IoRT) in healthcare settings introduces new
challenges in securing sensitive patient data. Existing communication networks within IoRT …

A Survey on the Use of Partitioning in IoT-Edge-AI Applications

G Yao, L Gupta - arXiv preprint arXiv:2406.00301, 2024 - arxiv.org
Centralized clouds processing the large amount of data generated by Internet-of-Things
(IoT) can lead to unacceptable latencies for the end user. Against this backdrop, Edge …

Conceptualizing data ecosystems for industrial food production

C Rix, H Stein, Q Chen, J Frank… - 2021 IEEE 23rd …, 2021 - ieeexplore.ieee.org
Industrial food production represents one of the largest industries, accounting for a share of
ten percent of the world's gross domestic product. Simultaneously, it is responsible for 26 …

Path computing scheme with low-latency and low-power in hybrid cloud-fog network for IIoT

J Ren, P Zhu, Z Ren - China Communications, 2023 - ieeexplore.ieee.org
With the rapid development of the Industrial Internet of Things (IIoT), the traditional
centralized cloud processing model has encountered the challenges of high communication …