Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT
Saved in:
| Published in: | Discover Internet of Things |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: A Bayesian-optimized hybrid fuzzy–PNN framework for ultra-lightweight severity-aware monitoring of stochastic plant disease transition zones in precision agricultural IoT
- Lightweight IDS Method for IoT Devices Traffic Monitoring Through Distilled Federated Knowledge on Decentralized Data
- A Review of Evolution of Internet of Things (IoT) and its Significant Impact in the Field of Precision Agriculture
- Real Time Edge Intelligent IoT Framework for Uncertainty Aware Fiber Bragg Grating Sensing Using Hybrid Machine Learning Bayesian Compensation
- Phygital Twin IoT: A Hardware-Software Decomposition Architecture for Scalable and Secure Digital Twin IoT Systems
- Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism
- Improved Consensus Protocol for IoT Trust Management Systems