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Jeba Nega Cheltha
ResearcherPublications, citations & collaboration network
Jeba Nega Cheltha is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 6 works, 41 citations, an h-index of 1 and an i10-index of 1.
6
Works
41
Citations
1
h-index
1
i10-index
IDs:OpenAlex
How has Jeba Nega Cheltha's publication output changed over time?
ScholarIQpublication output · 2022–2026
Output grew100% over the shown period — from 1 works in 2022 to 2 in 2026.
1
2
1
2
2022202420252026
What are the most-cited papers on Jeba Nega Cheltha?
ScholarIQmost cited works
Enhanced human motion detection with hybrid RDA-WOA-based RNN and multiple hypothesis tracking for occlusion handling
Jeba Nega Cheltha, Chirag Sharma, Deepak Prashar, Arfat Ahmad Khan, Seifedine Kadry
S177430994. 202440 Citations
Cardiovascular Disease Predictor
Daksh Jain, Vardan Yadav, M. Sujatha Kumari, Kundan Chandravansi, G. V. Gnanendra Reddy, Jeba Nega Cheltha
20221 CitationsOPEN ACCESS
A Hybrid Visionary for Unveiling Human Motion in the Face of Occlusion with Mask R-CNN, RNN, and MHT
Jeba Nega Cheltha, Chirag Sharma
International Journal of Electronics and Communication Engineering. 20240 CitationsOPEN ACCESS
A Convolutional Neural Network Framework for Early Plant Disease Detection via Leaf Health Classification
Mohit Singh, Jeba Nega Cheltha, Sansar Singh Chauhan
20250 Citations
Secure and transparent artificial intelligence through uncertainty-infused algebraic frameworks
Bagesh Kumar, Jeba Nega Cheltha, Praveen Kumar Yadav, Manish Kumar Sharma, Pankaj Dadheech, Shyam Sunder Manaktala
Journal of Discrete Mathematical Sciences and Cryptography. 20260 Citations
Related on ScholarIQ
Enhanced human motion detection with hybrid RDA-WOA-based RNN and multiple hypothesis tracking for occlusion handling
Paper
Cardiovascular Disease Predictor
Paper
A Hybrid Visionary for Unveiling Human Motion in the Face of Occlusion with Mask R-CNN, RNN, and MHT
Paper
A Convolutional Neural Network Framework for Early Plant Disease Detection via Leaf Health Classification
Paper
Secure and transparent artificial intelligence through uncertainty-infused algebraic frameworks
Paper
A Deep Learning-Based Multimodal Cyberbullying Detection Framework Using DistilBERT ResNet50 and Cross-Modal Attention
Paper