# Ramu Moola

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ramu-moola/

## Facts

| Field | Value |
| --- | --- |
| Citations | 28 |
| Field | Advanced Neural Network Applications |
| h-index | 4 |
| i10-index | 0 |
| Last Known Institution | National Institute of Technology Warangal |
| OpenAlex ID | https://openalex.org/A5037300977 |
| Works | 11 |

## Researcher papers

- [Human Activity Recognition using Deep Learning](https://scholariq.org/papers/human-activity-recognition-using-deep-learning/)
- [A fine-tuned deep transfer learning model in classifying multiclass brain tumors for preclinical MRI image analysis](https://scholariq.org/papers/a-fine-tuned-deep-transfer-learning-model-in-classifying-multiclass-brain-tumors/)
- [Handwritten Telugu Vowel Character Classification Using Modified 25-Layer AlexNET With Transfer Learning](https://scholariq.org/papers/handwritten-telugu-vowel-character-classification-using-modified-25-layer/)
- [TinyML-based Real-Time System for Detecting Falls in Elderly People](https://scholariq.org/papers/tinyml-based-real-time-system-for-detecting-falls-in-elderly-people/)
- [VenoScan: AI-Powered Classification of Venomous and Non-Venomous Snakes](https://scholariq.org/papers/venoscan-ai-powered-classification-of-venomous-and-non-venomous-snakes/)
- [Contributors](https://scholariq.org/papers/contributors-4/)
- [Lung and Colon Cancer Classification Using Convolutional Neural Networks](https://scholariq.org/papers/lung-and-colon-cancer-classification-using-convolutional-neural-networks/)
- [Statistically Validated an Explainable Transfer Learning Model for Accurate Breast Cancer Classification in Ultrasound Imaging](https://scholariq.org/papers/statistically-validated-an-explainable-transfer-learning-model-for-accurate/)
- [Multi-Scale Convolutional Neural Network for Enhanced Detection of Cotton Leaf Diseases](https://scholariq.org/papers/multi-scale-convolutional-neural-network-for-enhanced-detection-of-cotton-leaf/)
- [Brain Tumor MRI Interpretation and Classification using Swin Transformer Framework with Multi-Method Explainable AI](https://scholariq.org/papers/brain-tumor-mri-interpretation-and-classification-using-swin-transformer/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)
- [Ultrasound Imaging and Elastography](https://scholariq.org/topics/ultrasound-imaging-and-elastography/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)

## Researcher university

- [National Institute of Technology Warangal](https://scholariq.org/institutions/national-institute-of-technology-warangal/)

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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.