⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

March 27, 2026

Erratum: Optimized Attention Enhanced Temporal Graph Convolutional Network-based Cloud Resource Allocation Supported IoT for Students' Health Monitoring System.

Surya Prakasa Rao Reddi Srinivasa Rao P S Suguna Mallika Dileep Pulugu Mantri Gayatri Vig G

View at Publisher

Ask AI

Bookmark

Share

Key Points

The aim is to optimize cloud resource allocation in IoT systems to enhance health monitoring for students.
Correction of previous article's findings.
Analysis of resource allocation using temporal graph convolutional networks.
Integration of attention mechanisms for improved performance.
Clarification of discrepancies in the original findings.
Validation of the enhanced model's effectiveness for health monitoring.

No abstract yet

We only have this paper's title and publication details.

Read it at the source→

Implication

Erratum corrects previous findings on cloud resource allocation in IoT systems for health monitoring, clarifying implications.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Reddi et al. (2026) studied this question.

synapsesocial.com/papers/69d5f05d74eaea4b11a79c1f https://doi.org/10.3791/6663

View at Publisher

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Optimized Attention Enhanced Temporal Graph Convolutional Network-based Cloud Resource Allocation Supported IoT for Students' Health Monitoring SystemOriginal Research · 2026
2Correction: Irshad et al. A Novel IoT-Enabled Healthcare Monitoring Framework and Improved Grey Wolf Optimization Algorithm-Based Deep Convolution Neural Network Model for Early Diagnosis of Lung Cancer. Sensors 2023, 23, 2932Original Research · 2026
3Corrigendum Notice: Machine Learning Algorithms to Detect Cyber-Attack in the Internet of Things PlatformOriginal Research · 2026
4An Optimized Resource Management and Load‐Balancing Strategy for Cloud‐Assisted <scp>IoT</scp> NetworksOriginal Research · 2026
5Retraction Note: IoT devices and data availability optimization by ANN and KNN2024

Enhanced health monitoring in IoT with auto-metric graph neural networks and Archimedes optimisation2024
Correction: Abushark et al. Optimized Adaboost Support Vector Machine-Based Encryption for Securing IoT-Cloud Healthcare Data. Sensors 2025, 25, 7312026
Enhancing Security and Privacy in Cloud- and IoT-Driven Medical Imaging Using a Cascaded Visual Attention–Deep Spiking Parallel Convolutional Neural Network Optimized with the Improved Orca Predation Algorithm2026

More from Koneru Lakshmaiah Education Foundation

More from G Pulla Reddy Dental College & Hospital

More from Maharaj Vijayaram Gajapathi Raj College of Engineering

More from Seva Mandir

More from Department of Physics, Mathematics and Informatics