# Vijaya Lakshmi

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/vijaya-lakshmi/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4 |
| Field | Uterine Myomas and Treatments |
| h-index | 1 |
| i10-index | 0 |
| Last Known Institution | Vignana Jyothi Institute of Management |
| OpenAlex ID | https://openalex.org/A5103938602 |
| ORCID iD | 0000-0001-6484-1632 |
| Works | 10 |

## Researcher papers

- [Deep Learning Architecture based on Behavioral and Academic Perspectives for Classifying Students in a University](https://scholariq.org/papers/deep-learning-architecture-based-on-behavioral-and-academic-perspectives-for/)
- [Cervical leiomyoma: An uncommon presentation](https://scholariq.org/papers/cervical-leiomyoma-an-uncommon-presentation/)
- [Neural tube defects](https://scholariq.org/papers/neural-tube-defects/)
- [Design and Analysis of Fuzzy Times Series Forecasting Model for Thermal Power Generation](https://scholariq.org/papers/design-and-analysis-of-fuzzy-times-series-forecasting-model-for-thermal-power/)
- [Vijaya Lakshmi V, Manohar Reddy L, Rama Swamy Naik R, Neeraja M<sup> </sup>and Koteswar Rao K](https://scholariq.org/papers/vijaya-lakshmi-v-manohar-reddy-l-rama-swamy-naik-r-neeraja-m-sup-sup-and/)
- [Microperforated hymen with pregnancy presenting at term: an accidental diagnosis](https://scholariq.org/papers/microperforated-hymen-with-pregnancy-presenting-at-term-an-accidental-diagnosis/)
- [Plant Disease Classification Using Transfer Learning with ResNet Architecture](https://scholariq.org/papers/plant-disease-classification-using-transfer-learning-with-resnet-architecture/)
- [Forecasting Hourly Energy Consumption Using LSTM: A Deep Learning Approach for Indian States](https://scholariq.org/papers/forecasting-hourly-energy-consumption-using-lstm-a-deep-learning-approach-for/)
- [Detecting Fake Identities with Machine Learning: A Comprehensive Literature Survey](https://scholariq.org/papers/detecting-fake-identities-with-machine-learning-a-comprehensive-literature/)
- [Optimizing Smart Grid Load Forecasting by Extreme Gradient Boosting (XGBoost) for Improved Energy Management](https://scholariq.org/papers/optimizing-smart-grid-load-forecasting-by-extreme-gradient-boosting-xgboost-for/)

## Researcher topics

- [Uterine Myomas and Treatments](https://scholariq.org/topics/uterine-myomas-and-treatments/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [Cervical Cancer and HPV Research](https://scholariq.org/topics/cervical-cancer-and-hpv-research/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Ovarian cancer diagnosis and treatment](https://scholariq.org/topics/ovarian-cancer-diagnosis-and-treatment/)

## Researcher university

- [Vignana Jyothi Institute of Management](https://scholariq.org/institutions/vignana-jyothi-institute-of-management/)

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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.