# Mohan Kumar Gajendran

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/mohan-kumar-gajendran/

## Facts

| Field | Value |
| --- | --- |
| Citations | 215 |
| Field | Wind Energy Research and Development |
| h-index | 6 |
| i10-index | 6 |
| Last Known Institution | University of Missouri–Kansas City |
| OpenAlex ID | https://openalex.org/A5045071181 |
| ORCID iD | 0000-0003-4757-7723 |
| Works | 17 |

## Researcher papers

- [Deep Neural Architectures for Medical Image Semantic Segmentation: Review](https://scholariq.org/papers/deep-neural-architectures-for-medical-image-semantic-segmentation-review/)
- [ECG Classification using Deep Transfer Learning](https://scholariq.org/papers/ecg-classification-using-deep-transfer-learning/)
- [Novel Machine-Learning Based Framework Using Electroretinography Data for the Detection of Early-Stage Glaucoma](https://scholariq.org/papers/novel-machine-learning-based-framework-using-electroretinography-data-for-the/)
- [Machine Learning-Based Approach to Wind Turbine Wake Prediction under Yawed Conditions](https://scholariq.org/papers/machine-learning-based-approach-to-wind-turbine-wake-prediction-under-yawed/)
- [Novel Machine-Learning-Based Stall Delay Correction Model for Improving Blade Element Momentum Analysis in Wind Turbine Performance Prediction](https://scholariq.org/papers/novel-machine-learning-based-stall-delay-correction-model-for-improving-blade/)
- [An XAI Framework for Predicting Wind Turbine Power under Rainy Conditions Developed Using CFD Simulations](https://scholariq.org/papers/an-xai-framework-for-predicting-wind-turbine-power-under-rainy-conditions/)
- [On the Limitations of Machine Learning (ML) Methodologies in Predicting the Wake Characteristics of Wind Turbines](https://scholariq.org/papers/on-the-limitations-of-machine-learning-ml-methodologies-in-predicting-the-wake/)
- [Machine Learning Techniques in Indoor Environmental Quality Assessment](https://scholariq.org/papers/machine-learning-techniques-in-indoor-environmental-quality-assessment/)
- [Cryogenic carbon capture using efficacious exchange of waste heat energy from flue gas with waste cold energy from LNG](https://scholariq.org/papers/cryogenic-carbon-capture-using-efficacious-exchange-of-waste-heat-energy-from/)
- [Evaluating Lexical, Dense, and Hybrid Retrieval Pipelines for RAG](https://scholariq.org/papers/evaluating-lexical-dense-and-hybrid-retrieval-pipelines-for-rag/)
- [Towards a Deeper Understanding of Cerebrospinal Fluid Transport in the Optic Nerve Subarachnoid Space: A Computational Approach](https://scholariq.org/papers/towards-a-deeper-understanding-of-cerebrospinal-fluid-transport-in-the-optic/)

## Researcher topics

- [Wind Energy Research and Development](https://scholariq.org/topics/wind-energy-research-and-development/)
- [Wind and Air Flow Studies](https://scholariq.org/topics/wind-and-air-flow-studies/)
- [Building Energy and Comfort Optimization](https://scholariq.org/topics/building-energy-and-comfort-optimization/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [Fluid Dynamics and Vibration Analysis](https://scholariq.org/topics/fluid-dynamics-and-vibration-analysis/)

## Researcher university

- [University of Missouri–Kansas City](https://scholariq.org/institutions/university-of-missouri-kansas-city/)

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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.