# Centurion University of Technology and Management

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/centurion-university-of-technology-and-management/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 17 |
| Citations | 70,895 |
| City | Bhubaneswar |
| Country | IN |
| Description | Centurion University of Technology and Management is a research organisation in Bhubaneswar, IN. OpenAlex records 5,568 works and 70,895 citations for it. 2,243 researchers list it as their most recent affiliation. |
| Homepage | https://cutm.ac.in |
| OpenAlex ID | https://openalex.org/I47639616 |
| Researchers | 2,243 |
| ROR ID | https://ror.org/03js1g511 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q5063087 |
| Works | 5,568 |

## University papers

- [An improved cuckoo search based extreme learning machine for medical data classification](https://scholariq.org/papers/an-improved-cuckoo-search-based-extreme-learning-machine-for-medical-data/)
- [An optimized LSTM-based deep learning model for anomaly network intrusion detection](https://scholariq.org/papers/an-optimized-lstm-based-deep-learning-model-for-anomaly-network-intrusion/)
- [Leaf Disease Detection using Support Vector Machine](https://scholariq.org/papers/leaf-disease-detection-using-support-vector-machine/)
- [Smart Crop Recommender System-A Machine Learning Approach](https://scholariq.org/papers/smart-crop-recommender-system-a-machine-learning-approach/)
- [RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System](https://scholariq.org/papers/rhsofs-feature-selection-using-the-rock-hyrax-swarm-optimization-algorithm-for/)
- [Hyperspectral Image Classification using Spectral Angle Mapper](https://scholariq.org/papers/hyperspectral-image-classification-using-spectral-angle-mapper/)
- [Swarm Optimization and Machine Learning Applied to PE Malware Detection towards Cyber Threat Intelligence](https://scholariq.org/papers/swarm-optimization-and-machine-learning-applied-to-pe-malware-detection-towards/)
- [A Deep Learning Method to Forecast COVID-19 Outbreak](https://scholariq.org/papers/a-deep-learning-method-to-forecast-covid-19-outbreak/)
- [Performance Assessment of Different Sustainable Energy Systems Using Multiple-Criteria Decision-Making Model and Self-Organizing Maps](https://scholariq.org/papers/performance-assessment-of-different-sustainable-energy-systems-using-multiple/)
- [Feature Selection and Evaluation of Permission-based Android Malware Detection](https://scholariq.org/papers/feature-selection-and-evaluation-of-permission-based-android-malware-detection/)
- [Precision pest management in agriculture using Inception V3 and EfficientNet B4: A deep learning approach for crop protection](https://scholariq.org/papers/precision-pest-management-in-agriculture-using-inception-v3-and-efficientnet-b4/)

## University researchers

- [Sujata Chakravarty](https://scholariq.org/researchers/sujata-chakravarty/)

## University top topics

Showing 8 of 25.

- [Rice Cultivation and Yield Improvement](https://scholariq.org/topics/rice-cultivation-and-yield-improvement/)
- [Agricultural Economics and Practices](https://scholariq.org/topics/agricultural-economics-and-practices/)
- [Ferroelectric and Piezoelectric Materials](https://scholariq.org/topics/ferroelectric-and-piezoelectric-materials/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Agricultural Science and Fertilization](https://scholariq.org/topics/agricultural-science-and-fertilization/)
- [Nanofluid Flow and Heat Transfer](https://scholariq.org/topics/nanofluid-flow-and-heat-transfer/)
- [Multiferroics and related materials](https://scholariq.org/topics/multiferroics-and-related-materials/)
- [Crop Yield and Soil Fertility](https://scholariq.org/topics/crop-yield-and-soil-fertility/)

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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.