# Deepak Yashwantrao Bhadane

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/deepak-yashwantrao-bhadane/

## Facts

| Field | Value |
| --- | --- |
| Citations | 6 |
| Field | Artificial Intelligence in Healthcare |
| h-index | 2 |
| i10-index | 0 |
| Last Known Institution | Shri Vile Parle Kelavani Mandal |
| OpenAlex ID | https://openalex.org/A5106782856 |
| Works | 11 |

## Researcher papers

- [An Intelligent Ensemble Deep Learning Techniques with Improved Owl Search Algorithm–Aided Optimal Feature Selection for Predicting the Presence of Heart Diseases](https://scholariq.org/papers/an-intelligent-ensemble-deep-learning-techniques-with-improved-owl-search/)
- [Exploring governance frameworks and decision processes in blockchain-based decentralized autonomous organizations](https://scholariq.org/papers/exploring-governance-frameworks-and-decision-processes-in-blockchain-based/)
- [Adaptive Cheetah Optimization-Driven CNN: A Hybrid Approach for Robust Image Segmentation](https://scholariq.org/papers/adaptive-cheetah-optimization-driven-cnn-a-hybrid-approach-for-robust-image/)
- [Inception V3-Based Deep Learning Approach forCrack Detection in Paintings](https://scholariq.org/papers/inception-v3-based-deep-learning-approach-forcrack-detection-in-paintings/)
- [A Research on Ensemble Deep Learning Techniques for Predicting Heart Diseases](https://scholariq.org/papers/a-research-on-ensemble-deep-learning-techniques-for-predicting-heart-diseases/)
- [Unsupervised Fuzzy C-Means Segmentation with Adaptive Cluster Count Derived from Laplacian of Gaussian Edge Maps](https://scholariq.org/papers/unsupervised-fuzzy-c-means-segmentation-with-adaptive-cluster-count-derived-from/)
- [Effective Ensemble Deep Learning Approach to Coronary Heart Disease Prediction](https://scholariq.org/papers/effective-ensemble-deep-learning-approach-to-coronary-heart-disease-prediction/)
- [IOSA-Enhanced Feature Weighting for Lightweight Cardiovascular Risk Classification](https://scholariq.org/papers/iosa-enhanced-feature-weighting-for-lightweight-cardiovascular-risk/)
- [Decentralized Autonomous Organizations in the Pharmaceutical Sector: A Paradigm Shift in Research, Development, and Governance](https://scholariq.org/papers/decentralized-autonomous-organizations-in-the-pharmaceutical-sector-a-paradigm/)
- [Hybrid Convolution with Dilated EfficientNet for Plant Disease Classification](https://scholariq.org/papers/hybrid-convolution-with-dilated-efficientnet-for-plant-disease-classification/)

## Researcher topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)

## Researcher university

- [Shri Vile Parle Kelavani Mandal](https://scholariq.org/institutions/shri-vile-parle-kelavani-mandal/)

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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.