# B Suma

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

## Facts

| Field | Value |
| --- | --- |
| Citations | 16 |
| Field | EEG and Brain-Computer Interfaces |
| h-index | 2 |
| i10-index | 1 |
| Last Known Institution | R.V. College of Engineering |
| OpenAlex ID | https://openalex.org/A5113112039 |
| Works | 7 |

## Researcher papers

- [Network Intrusion Detection for IoT-Botnet Attacks Using ML Algorithms](https://scholariq.org/papers/network-intrusion-detection-for-iot-botnet-attacks-using-ml-algorithms/)
- [Predictive Analytics in Cardiovascular and Diabetes Risk: An Integrated Machine Learning Approach](https://scholariq.org/papers/predictive-analytics-in-cardiovascular-and-diabetes-risk-an-integrated-machine/)
- [A Comprehensive Review of Web Analytics](https://scholariq.org/papers/a-comprehensive-review-of-web-analytics/)
- [Clinical Studies on Diabetic and Non- Diabetic Patients with Respect to Lipid Profile Test](https://scholariq.org/papers/clinical-studies-on-diabetic-and-non-diabetic-patients-with-respect-to-lipid/)
- [An Empirical Study of ResNet50 Hyperparameter Tuning for Plant Disease Classification](https://scholariq.org/papers/an-empirical-study-of-resnet50-hyperparameter-tuning-for-plant-disease/)
- [Development Of A Hybrid Deep Learning Framework For Predicting Epileptic Seizures Using EEG Signal Analysis](https://scholariq.org/papers/development-of-a-hybrid-deep-learning-framework-for-predicting-epileptic/)
- [Development Of A Hybrid Deep Learning Framework For Predicting Epileptic Seizures Using EEG Signal Analysis](https://scholariq.org/papers/development-of-a-hybrid-deep-learning-framework-for-predicting-epileptic-2/)

## Researcher topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Researcher university

- [R.V. College of Engineering](https://scholariq.org/institutions/r-v-college-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.