# Mohamed Meyer Kana Kone

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/mohamed-meyer-kana-kone/

## Facts

| Field | Value |
| --- | --- |
| Citations | 54 |
| Field | Face and Expression Recognition |
| h-index | 3 |
| i10-index | 1 |
| Last Known Institution | Jiangxi University of Water Resources and Electric Power |
| OpenAlex ID | https://openalex.org/A5016799255 |
| Works | 4 |

## Researcher papers

- [Frequency-domain attention-guided adaptive robust watermarking model](https://scholariq.org/papers/frequency-domain-attention-guided-adaptive-robust-watermarking-model/)
- [Enhanced-RICAP: a novel data augmentation strategy for improved deep learning-based plant disease identification and mobile diagnosis](https://scholariq.org/papers/enhanced-ricap-a-novel-data-augmentation-strategy-for-improved-deep-learning/)
- [Main Content Extraction from Web Pages](https://scholariq.org/papers/main-content-extraction-from-web-pages/)
- [Attentive data mixing in fine-grained visual categorization with class activation maps](https://scholariq.org/papers/attentive-data-mixing-in-fine-grained-visual-categorization-with-class/)

## Researcher topics

- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Advanced Steganography and Watermarking Techniques](https://scholariq.org/topics/advanced-steganography-and-watermarking-techniques/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Face Recognition and Perception](https://scholariq.org/topics/face-recognition-and-perception/)

## Researcher university

- [Jiangxi University of Water Resources and Electric Power](https://scholariq.org/institutions/jiangxi-university-of-water-resources-and-electric-power/)

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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.