# Swathi B

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/swathi-b/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2 |
| Field | Advanced Neural Network Applications |
| h-index | 1 |
| i10-index | 0 |
| Last Known Institution | Institute of Engineering |
| OpenAlex ID | https://openalex.org/A5123643503 |
| Works | 12 |

## Researcher papers

- [Deep Learning–Based Detection and Analysis of Pulmonary Tuberculosis Using Structured Clinical Data for Enhanced Diagnostic Accuracy](https://scholariq.org/papers/deep-learning-based-detection-and-analysis-of-pulmonary-tuberculosis-using/)
- [Location-Supported Lesions Representation with Potato Leaf Blight Disease Detection Using Dual-Head Convolutional Neural Network](https://scholariq.org/papers/location-supported-lesions-representation-with-potato-leaf-blight-disease/)
- [Development of an Optimal Approach for Heart Sound Classification and Segmentation Using Improved Convolutional Neural Network](https://scholariq.org/papers/development-of-an-optimal-approach-for-heart-sound-classification-and/)
- [Harnessing Machine Learning for Ocular Disease Detection: Performance Evaluation of Gradient Boosting Models](https://scholariq.org/papers/harnessing-machine-learning-for-ocular-disease-detection-performance-evaluation/)
- [Efficient Cost Evaluation and Hybrid Optimization-Based Heterogeneous Resource Allocation in Cloud–Edge-IoT Environment](https://scholariq.org/papers/efficient-cost-evaluation-and-hybrid-optimization-based-heterogeneous-resource/)
- [Design of the UNet and Spatial-Time Augmentation Method with Feature Fusion for Soybean Diseases and Yield Prediction](https://scholariq.org/papers/design-of-the-unet-and-spatial-time-augmentation-method-with-feature-fusion-for/)
- [Computer Vision in the Era of Big Data: A Deep Learning-Based Analytical Perspective](https://scholariq.org/papers/computer-vision-in-the-era-of-big-data-a-deep-learning-based-analytical/)
- [Efficient and Precise Skin Cancer Diagnosis Using Advanced R-MobileNet Deep Neural Network Models with Improved Accuracy and Computational Performance](https://scholariq.org/papers/efficient-and-precise-skin-cancer-diagnosis-using-advanced-r-mobilenet-deep/)
- [Prostate Cancer Detection Using Deep Learning with Clinical-Structural Data Integration in an EfficientNetV2B3 Framework](https://scholariq.org/papers/prostate-cancer-detection-using-deep-learning-with-clinical-structural-data/)
- [Eigenstate Transition Model for Successful Tests on Pre-Earthquake Prediction Through Magnetic Field Signals](https://scholariq.org/papers/eigenstate-transition-model-for-successful-tests-on-pre-earthquake-prediction/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Researcher university

- [Institute of Engineering](https://scholariq.org/institutions/institute-of-engineering/)

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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.