Supreetha B S

Phone+91-9448547570
Emailsupreetha.bsmanipaledu
Websitehttps://manipal.edu/mit/department-faculty/faculty-list/supreetha-bs/_jcr_content.html

MIT Campus, Manipal, Karnataka State. Pin 576104
India

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Dive into the research topics where Supreetha B S is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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6 Article
1 Conference contribution

A compact flexible four-element dual-band antenna using a unique defective ground decoupling structure for Sub-6 GHz wearable applications
John, D. M., Vincent, S., Nayak, K., B S, S., Ali, T., Kumar, P. & Pathan, S., 03-2024, In: Results in Engineering. 21, 101900.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Citations (Scopus)
Brain tumour detection and classification using hybrid neural network classifier
Nayak, K., Supreetha, B. S., Benachour, P. & Nayak, V., 2021, In: International Journal of Biomedical Engineering and Technology. 35, 2, p. 152-172 21 p.
Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
Lion Algorithm-Optimized Long Short-Term Memory Network for Groundwater Level Forecasting in Udupi District, India
Supreetha, B. S., Shenoy, N. & Nayak, P., 2020, In: Applied Computational Intelligence and Soft Computing. 2020, 8685724.
Research output: Contribution to journal › Article › peer-review

Open Access
26 Citations (Scopus)
Hybrid artificial intelligence based abc-pso system for ground water level forecasting in Udupi region
Supreetha, B. S., Prabhakara Nayak, K. & Narayan Shenoy, K., 01-04-2019, In: Journal of Engineering Science and Technology. 14, 2, p. 797-809 13 p.
Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus)
Groundwater level forecasting model using hybrid support vector regression -particle swarm optimization for aquifer in Udupi region
Supreetha, B. S., Shenoy, N. & Nayak, P., 01-12-2018, In: International Journal of Civil Engineering and Technology. 9, 13, p. 1237-1246 10 p.
Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)

Supreetha B S

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Collaborations and top research areas from the last five years

Dive into details

A compact flexible four-element dual-band antenna using a unique defective ground decoupling structure for Sub-6 GHz wearable applications

Brain tumour detection and classification using hybrid neural network classifier

Lion Algorithm-Optimized Long Short-Term Memory Network for Groundwater Level Forecasting in Udupi District, India

Hybrid artificial intelligence based abc-pso system for ground water level forecasting in Udupi region

Groundwater level forecasting model using hybrid support vector regression -particle swarm optimization for aquifer in Udupi region

Supreetha B S

Fingerprint

Collaborations and top research areas from the last five years

Research output

A compact flexible four-element dual-band antenna using a unique defective ground decoupling structure for Sub-6 GHz wearable applications

Brain tumour detection and classification using hybrid neural network classifier

Lion Algorithm-Optimized Long Short-Term Memory Network for Groundwater Level Forecasting in Udupi District, India

Hybrid artificial intelligence based abc-pso system for ground water level forecasting in Udupi region

Groundwater level forecasting model using hybrid support vector regression -particle swarm optimization for aquifer in Udupi region