# Alex David S

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/alex-david-s/

## Facts

| Field | Value |
| --- | --- |
| Citations | 416 |
| Field | Smart Agriculture and AI |
| h-index | 12 |
| i10-index | 17 |
| Last Known Institution | Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology |
| OpenAlex ID | https://openalex.org/A5008487538 |
| ORCID iD | 0000-0002-8740-6710 |
| Works | 65 |

## Researcher papers

- [Predictive Modeling for Medical Insurance Malpractice Using Random Forest and XGBoost](https://scholariq.org/papers/predictive-modeling-for-medical-insurance-malpractice-using-random-forest-and/)
- [Retinal Blood Vessels and Optic Disc Segmentation Using U-Net](https://scholariq.org/papers/retinal-blood-vessels-and-optic-disc-segmentation-using-u-net/)
- [Raspberry Pi in Computer Science and Engineering Education](https://scholariq.org/papers/raspberry-pi-in-computer-science-and-engineering-education/)
- [Deep Learning Techniques Advancements in Apple Leaf Disease Detection](https://scholariq.org/papers/deep-learning-techniques-advancements-in-apple-leaf-disease-detection/)
- [Deep Learning Advances in Brain Tumor Classification: Leveraging VGG16 and MobileNetV2 for Accurate MRI Diagnostics](https://scholariq.org/papers/deep-learning-advances-in-brain-tumor-classification-leveraging-vgg16-and/)
- [Deep Learning-Based Lung Cancer Classification: Recent Developments and Future Prospects](https://scholariq.org/papers/deep-learning-based-lung-cancer-classification-recent-developments-and-future/)
- [Predictive Management of EV Charging Stations Using Machine Learning](https://scholariq.org/papers/predictive-management-of-ev-charging-stations-using-machine-learning/)
- [Abnormality Classification of Brain Tumor in MRI Images using Multiclass SVM](https://scholariq.org/papers/abnormality-classification-of-brain-tumor-in-mri-images-using-multiclass-svm/)
- [Evaluating Machine Learning Models for Sustainability to Improve Electric Vehicle Range Prediction](https://scholariq.org/papers/evaluating-machine-learning-models-for-sustainability-to-improve-electric/)
- [Early Detection of Breast Cancer with IoT: A Promising Solution](https://scholariq.org/papers/early-detection-of-breast-cancer-with-iot-a-promising-solution/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Researcher university

- [Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology](https://scholariq.org/institutions/vel-tech-rangarajan-dr-sagunthala-r-and-d-institute-of-science-and-technology/)

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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.