# D. Murugan

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/d-murugan/

## Facts

| Field | Value |
| --- | --- |
| Citations | 10 |
| Field | Smart Agriculture and AI |
| h-index | 1 |
| i10-index | 0 |
| Last Known Institution | Manonmaniam Sundaranar University |
| OpenAlex ID | https://openalex.org/A5033921054 |
| Works | 5 |

## Researcher papers

- [Automated Paddy Leaf Disease Identification using Visual Leaf Images based on Nine Pre-trained Models Approach](https://scholariq.org/papers/automated-paddy-leaf-disease-identification-using-visual-leaf-images-based-on/)
- [A review of Deep learning Techniques for COVID-19 identification on Chest CT images](https://scholariq.org/papers/a-review-of-deep-learning-techniques-for-covid-19-identification-on-chest-ct/)
- [Explainable AI-Driven Model for Paddy Disease Detection and Classification](https://scholariq.org/papers/explainable-ai-driven-model-for-paddy-disease-detection-and-classification/)
- [A HYBRID CAD APPROACH USING VGG-16, RAS-UNET, AND CNN-MGCA FOR MICROANEURYSM DETECTION IN DIABETIC RETINOPATHY](https://scholariq.org/papers/a-hybrid-cad-approach-using-vgg-16-ras-unet-and-cnn-mgca-for-microaneurysm/)
- [AN ADAPTIVE TEMPORAL-FEATURE COMPRESSION NETWORK FOR HIGH-ACCURACY INTRUSION DETECTION IN INDUSTRIAL IOT ENVIRONMENTS](https://scholariq.org/papers/an-adaptive-temporal-feature-compression-network-for-high-accuracy-intrusion/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Retinal Diseases and Treatments](https://scholariq.org/topics/retinal-diseases-and-treatments/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Researcher university

- [Manonmaniam Sundaranar University](https://scholariq.org/institutions/manonmaniam-sundaranar-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.