Publications
| # | Published Date | Details |
|---|---|---|
| 1. | 30-06-2026 | Eel and grouper lyrebird optimizer based fractal deep spiking residual network for breast cancer detection using mammogram images Authors: Sachin A Urabinahatti, M Niranjanamurthy, Abhishek Kadalagere Lingaraju, Nandini Narayanapura Swamy & Lavanya Link |
| 2. | 17-11-2025 | A comprehensive survey on securing the social internet of things: protocols, threat mitigation, technological integrations, tools, and performance metrics Authors: Deepa Ashok Patil and Shyamala G Link |
| 3. | 31-10-2025 | "An IoT-Driven Intelligent Street Lighting System with Integrated Severity-Based Fault Classification" Authors: Sreelatha R, Shubha Rao V, Mahalakshmi B S, Sindhu K Link |
| 4. | 08-09-2025 | Fake Job Detection: A Comparative Study of Machine Learning and Hybrid Network-Based Approaches
Authors: Dr. Pallavi G.B, Dr. Shyamala G, Dr. Latha N.R, Kavyashree V Link |
| 5. | 08-09-2025 | Audio - Driven Prediction Of Child Language Proficiency: A Hybrid Transformer-Lightgbm Ensemble Framework For Automated Evaluation Authors: Latha N.R. , Pallavi G. B. , Shyamala G , Cherukupalli Yashwitha Reddy Link |
| 6. | 04-09-2025 | The current research aims to discover applications of QML approaches in realizing liabilities
within smart contracts. These contracts are essential commodities of the blockchain interface
and are also decisive in developing decentralized products. But liabilities in smart contracts
could result in unfamiliar system failures. Presently, static detection tools are utilized
to discover accountabilities. However, they could result in instances of false narratives
due to their dependency on predefined rules. In addition, these policies can often be
superseded, failing to generalize on new contracts. The detection of liabilities with ML
approaches, correspondingly, has certain limitations with contract size due to storage
and performance issues. Nevertheless, employing QML approaches could be beneficial
as they do not necessitate any preconceived rules. They often learn from data attributes
during the training process and are employed as alternatives to ML approaches in terms
of storage and performance. The present study employs four QML approaches, namely,
QNN, QSVM, VQC, and QRF, for discovering susceptibilities. Experimentation revealed
that the QNN model surpasses other approaches in detecting liabilities, with a performance
accuracy of 82.43%. To further validate its feasibility and performance, the model was
assessed on a several-partition test dataset, i.e., SolidiFI data, and the outcomes remained
consistent. Additionally, the performance of the model was statistically validated using
McNemar’s test. Authors: Amulyashree Sridhar, Kalyan Nagaraj, Shambhavi B R, Sindhu K Link |
| 7. | 04-09-2025 | Title: Ascertaining Susceptibilities in Smart Contracts: A Quantum Machine Learning Approach, Entropy, 2025, 27(9), 933, https://doi.org/10.3390/e27090933 Authors: Amulyashree Sridhar , Kalyan Nagaraj, Shambhavi BR, Sindhu K Link |
| 8. | 04-09-2025 | "Ascertaining Susceptibilities in Smart Contracts: A Quantum Machine Learning Approach", Entropy, 2025 doi: https://doi.org/10.3390/e27090933 Authors: Amulyashree S, Kalyan N, Shambhavi BR, Sindhu K Link |
| 9. | 20-08-2025 | Title: KaEnLandetector: Rule-Based Language Annotation and Transformer-Based Language Detection for Kannada-English Code-Mixed Text, ACM Transactions on Asian and Low Resource Language Information Processing, Volume 24, Issue 8, Article No.: 77, Pages 1 - 19, https://doi.org/10.1145/3748310 Authors: Rashmi KB, HS Guruprasad, Shambhavi B R Link |
| 10. | 02-07-2025 | Title: KSWN (Kannada SentiWordNet): Developing a Sentiment Lexicon for Kannada using Translation and Word Embedding Techniques, Journal of Computer Science, 21(6), 1482-1489. https://doi.org/10.3844/jcssp.2025.1482.1489 Authors: Rashmi KB, HS Guruprasad, Shambhavi B R Link |
| 11. | 05-05-2025 | We report the synthesis of a heterocyclic azo dye, (E)-6-hydroxy-5-((5-mercapto-1,3,4-thiadiazol-2-yl)diazenyl)-1,3-dimethylpyrimidine-2,4(1H,3H)-dione (DSTDPT). The structure of DSTDPT was characterized using UV-Visible, FTIR, 1HNMR, and LCMS analyses. Its electrochemical properties were examined in a 0.2 M phosphate buffer (pH=7.2) with a carbon paste electrode (CPE). The electrodes sensitivity and selectivity toward paracetamol detection were enhanced by incorporating surfactants such as CTAB, SDS, and Triton X-100. The nonlinear optical metrics and electronic structure of DSTDPT were explored through density functional theory (DFT) computations using 6-31G (d, p)/B3LYP basis set. The enol form of DSTDPT demonstrated promising optical characteristics, including a first-order hyperpolarizability values approximately 19 times greater than that of urea. Molecular docking studies revealed favourable binding energies of DSTDPT towards B-cell lymphoma-extra-large (Bcl-xL) protein. To further investigate the stability and dynamics of the Bcl-xL protein and Bcl-xL-DSTDPT complex, molecular dynamics (MD) simulations were conducted. These studies confirmed that DSTDPT is a promising lead molecule with potent anti-cancer property. Finally, in vitro cytotoxic activity was evaluated against HCT-116 (human colon cancer) cell lines using MTT assay. The compound exhibited concentration-dependant cytotoxicity with IC50 values ranging from 22 µM - 36 µM, as compared to known cytotoxic agent cisplatin. Authors: Harisha S , Kalyan Nagaraj, Mohan Reddy R, Amulyashree Sridhar, S.R. Kiran Kumar, Y Surendranaik Link |
| 12. | 05-05-2025 | Blindaid: Assisting The Visually Impaired In Object Detection And Tracking Using Slam Authors: Dr. Shyamala G, Dr Pallavi G B, Dr Latha N R, Shreesha H Shetty, Sushanth, Varun Bhatkal, V Kenny Philip Link |
| 13. | 26-02-2025 | An XAI-Powered Approach for Financial Fraud Detection
Using Anomaly Detection and Classification Techniques-
Journal of Information Systems Engineering and Management
Authors: Latha N. R. , Shyamala G, Pallavi G. B., Sneha Santhosh Bhat, Tanisha Gotadke, Ashish Seru, Archit Mehrotra Link |
| 14. | 25-02-2025 | Converting Eye Blink to Speech for People with Motor Neuron Disorders Authors: M Dhanalakshmi, Vyshali Rao K P, R.Vijaya Arjunan, Ratikanta Majhi, Lavanya Naik Link |
| 15. | 01-04-2024 | "Gait Analysis – A Tool for Medical Inferences”, iJOE online and Biomedical Engineering, Vol. 20, No, 6, April 2024 Authors: Sindhu K, Nidhi Uday, Abhishek SJ, Anjali S Link |
| 16. | 05-03-2024 | Title: State-of-the-art automatic machine transliteration systems for Indic scripts: a Comparative Report, International Journal of Advanced Intelligence Paradigms, Inderscience Publishers, 27(2), pp 150-177, DOI: https://doi.org/10.1504/IJAIP.2024.137188 Authors: BS Sowmya Lakshmi, BR Shambhavi Link |
| 17. | 11-10-2023 | Authors : Lavanya Naik, Dr Nagaraja G S
Paper ID : IJERTV12IS090033
DOI : 10.17577/IJERTV12IS090033
Volume & Issue : Volume 12, Issue 09 (September 2023)
Published (First Online): 11-10-2023
ISSN (Online) : 2278-0181
Publisher Name : IJERT Authors: Lavanya Naik, Dr. Nagaraja G S Link |
| 18. | 01-01-2023 | “Gait Recognition Using Convolutional Neural Network”, International Journal of Online and Biomedical Engineering, Vol.1, No. 19, Jan 2023. Authors: Sindhu K, Abhishek Sheth, Meghana Sharath, Sai Charan Reddy Link |
| 19. | 11-10-2022 | Title: Structuring of Unstructured Data from Heterogeneous Sources, Source: Indian Journal of Science and Technology, 15(41), pp 2188-2193 Authors: BL Shilpa, BR Shambhavi Link |
| 20. | 01-07-2022 | “Hybrid multi criteria decision methods for optimal cloud selection in mobile cloud computing”, Indonesian Journal of Electrical Engineering and Computer Science Vol. 27, No. 1, July 2022, pp. 404-412. ISSN: 2502-4752. Authors: Sindhu K, Guruprasad H.S. Link |