# T.VHyma Lakshmi

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

## Facts

| Field | Value |
| --- | --- |
| Citations | 0 |
| Field | Image and Signal Denoising Methods |
| h-index | 0 |
| i10-index | 0 |
| Last Known Institution | Hindu College of Pharmacy |
| OpenAlex ID | https://openalex.org/A5016682870 |
| Works | 5 |

## Researcher papers

- [Gaussian Mixture Model and Lifting Wavelet Transformed Base Satellite Image Enhancement](https://scholariq.org/papers/gaussian-mixture-model-and-lifting-wavelet-transformed-base-satellite-image/)
- [HARE-Net: Hybrid Attention Residual Ensemble Networks for Robust Plant Disease Detection based on Image-Processing and Machine Learning](https://scholariq.org/papers/hare-net-hybrid-attention-residual-ensemble-networks-for-robust-plant-disease/)
- [Credit Risk Prediction Using Machine Learning on Apache Spark Big Data Framework](https://scholariq.org/papers/credit-risk-prediction-using-machine-learning-on-apache-spark-big-data-framework/)
- [Image enhancement technique using lifting and stationary wavelet transforms and contrast limited adaptive histogram equalization](https://scholariq.org/papers/image-enhancement-technique-using-lifting-and-stationary-wavelet-transforms-and/)
- [Lung Nodule Detection and Segmentation using Linear Karnal SVM](https://scholariq.org/papers/lung-nodule-detection-and-segmentation-using-linear-karnal-svm/)

## Researcher topics

- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)
- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)
- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

## Researcher university

- [Hindu College of Pharmacy](https://scholariq.org/institutions/hindu-college-of-pharmacy/)

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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.