# Basavanna Mahadevappa

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/basavanna-mahadevappa/

## Facts

| Field | Value |
| --- | --- |
| Citations | 0 |
| Field | Handwritten Text Recognition Techniques |
| h-index | 0 |
| i10-index | 0 |
| Last Known Institution | Davangere University |
| OpenAlex ID | https://openalex.org/A5120156646 |
| Works | 5 |

## Researcher papers

- [A Gaussian Mixture Model Approach for Robust Watermark Text Detection in Documents](https://scholariq.org/papers/a-gaussian-mixture-model-approach-for-robust-watermark-text-detection-in/)
- [Adaptive Swin Transformer V2-Tiny Based Model for Classification of Bacteria, Fungus, Virus, and Healthy Fruit and Leaf Images](https://scholariq.org/papers/adaptive-swin-transformer-v2-tiny-based-model-for-classification-of-bacteria/)
- [KannadaLipi: A Deep Learning Approach for Kannada Manuscript Character Recognition](https://scholariq.org/papers/kannadalipi-a-deep-learning-approach-for-kannada-manuscript-character/)
- [KannadaLipi: A Deep Learning Approach for Kannada Manuscript Character Recognition](https://scholariq.org/papers/kannadalipi-a-deep-learning-approach-for-kannada-manuscript-character-2/)
- [A New Domain-Independent Approach for Classification of Bacteria, Fungus, and Virus-Infected Fruit and Leaf Images](https://scholariq.org/papers/a-new-domain-independent-approach-for-classification-of-bacteria-fungus-and/)

## Researcher topics

- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Advanced Steganography and Watermarking Techniques](https://scholariq.org/topics/advanced-steganography-and-watermarking-techniques/)

## Researcher university

- [Davangere University](https://scholariq.org/institutions/davangere-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.