# Jeba Nega Cheltha

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/jeba-nega-cheltha/

## Facts

| Field | Value |
| --- | --- |
| Citations | 41 |
| Field | Gait Recognition and Analysis |
| h-index | 1 |
| i10-index | 1 |
| OpenAlex ID | https://openalex.org/A5092745356 |
| Works | 6 |

## Researcher papers

- [Enhanced human motion detection with hybrid RDA-WOA-based RNN and multiple hypothesis tracking for occlusion handling](https://scholariq.org/papers/enhanced-human-motion-detection-with-hybrid-rda-woa-based-rnn-and-multiple/)
- [Cardiovascular Disease Predictor](https://scholariq.org/papers/cardiovascular-disease-predictor/)
- [A Hybrid Visionary for Unveiling Human Motion in the Face of Occlusion with Mask R-CNN, RNN, and MHT](https://scholariq.org/papers/a-hybrid-visionary-for-unveiling-human-motion-in-the-face-of-occlusion-with-mask/)
- [A Convolutional Neural Network Framework for Early Plant Disease Detection via Leaf Health Classification](https://scholariq.org/papers/a-convolutional-neural-network-framework-for-early-plant-disease-detection-via/)
- [Secure and transparent artificial intelligence through uncertainty-infused algebraic frameworks](https://scholariq.org/papers/secure-and-transparent-artificial-intelligence-through-uncertainty-infused/)
- [A Deep Learning-Based Multimodal Cyberbullying Detection Framework Using DistilBERT ResNet50 and Cross-Modal Attention](https://scholariq.org/papers/a-deep-learning-based-multimodal-cyberbullying-detection-framework-using/)

## Researcher topics

- [Gait Recognition and Analysis](https://scholariq.org/topics/gait-recognition-and-analysis/)
- [Plant-Microbe Interactions and Immunity](https://scholariq.org/topics/plant-microbe-interactions-and-immunity/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Bullying, Victimization, and Aggression](https://scholariq.org/topics/bullying-victimization-and-aggression/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

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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.