# Central University of Karnataka

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/central-university-of-karnataka/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 11 |
| Citations | 28,169 |
| City | Kalaburagi |
| Country | IN |
| Description | Central University of Karnataka is a research organisation in Kalaburagi, IN. OpenAlex records 2,127 works and 28,169 citations for it. 1,034 researchers list it as their most recent affiliation. |
| Homepage | https://www.cuk.ac.in/ |
| OpenAlex ID | https://openalex.org/I106053113 |
| Researchers | 1,034 |
| ROR ID | https://ror.org/02n5f2c60 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q5061960 |
| Works | 2,127 |

## University papers

- [Computer-aided diagnosis applied to MRI images of brain tumor using cognition based modified level set and optimized ANN classifier](https://scholariq.org/papers/computer-aided-diagnosis-applied-to-mri-images-of-brain-tumor-using-cognition/)
- [Cognition-based MRI brain tumor segmentation technique using modified level set method](https://scholariq.org/papers/cognition-based-mri-brain-tumor-segmentation-technique-using-modified-level-set/)
- [Improved face recognition method using SVM-MRF with KTBD based KCM segmentation approach](https://scholariq.org/papers/improved-face-recognition-method-using-svm-mrf-with-ktbd-based-kcm-segmentation/)
- [An enhanced segmentation technique and improved support vector machine classifier for facial image recognition](https://scholariq.org/papers/an-enhanced-segmentation-technique-and-improved-support-vector-machine/)
- [An Automated Approach for Brain Tumor Identification using ANN Classifier](https://scholariq.org/papers/an-automated-approach-for-brain-tumor-identification-using-ann-classifier/)
- [MobileNet-V2: An Enhanced Skin Disease Classification by Attention and Multi-Scale Features](https://scholariq.org/papers/mobilenet-v2-an-enhanced-skin-disease-classification-by-attention-and-multi/)
- [Modified Otsu thresholding based level set and local directional ternary pattern technique for liver tumor segmentation](https://scholariq.org/papers/modified-otsu-thresholding-based-level-set-and-local-directional-ternary-pattern/)
- [Secure communication over wireless sensor network using image steganography with generative adversarial networks](https://scholariq.org/papers/secure-communication-over-wireless-sensor-network-using-image-steganography-with/)
- [Deep Learning-Based Coverless Image Steganography on Medical Images Shared via Cloud](https://scholariq.org/papers/deep-learning-based-coverless-image-steganography-on-medical-images-shared-via/)
- [Brain MRI segmentation using initial contour KPCM and optimal speed function for improved level set method](https://scholariq.org/papers/brain-mri-segmentation-using-initial-contour-kpcm-and-optimal-speed-function-for/)
- [A Modified Cross-Attention Deep Convolutional Neural Network for Early Detection of Rice Plant Diseases](https://scholariq.org/papers/a-modified-cross-attention-deep-convolutional-neural-network-for-early-detection/)

## University researchers

- [Virupakshappa Virupakshappa](https://scholariq.org/researchers/virupakshappa-virupakshappa/)

## University top topics

Showing 8 of 23.

- [Nanofluid Flow and Heat Transfer](https://scholariq.org/topics/nanofluid-flow-and-heat-transfer/)
- [Heat Transfer Mechanisms](https://scholariq.org/topics/heat-transfer-mechanisms/)
- [Fluid Dynamics and Turbulent Flows](https://scholariq.org/topics/fluid-dynamics-and-turbulent-flows/)
- [Heat Transfer and Optimization](https://scholariq.org/topics/heat-transfer-and-optimization/)
- [Land Use and Ecosystem Services](https://scholariq.org/topics/land-use-and-ecosystem-services/)
- [Groundwater and Watershed Analysis](https://scholariq.org/topics/groundwater-and-watershed-analysis/)
- [Agricultural Economics and Practices](https://scholariq.org/topics/agricultural-economics-and-practices/)
- [Particle physics theoretical and experimental studies](https://scholariq.org/topics/particle-physics-theoretical-and-experimental-studies/)

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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.