# Published Date Details
1.04-09-2025The 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 In addition, these policies can often be superseded, failing to generalize on new contracts.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
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2.05-05-2025We 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
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3.01-04-2024"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
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4.05-03-2024Title: 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
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5.11-10-2023Authors : 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
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6.01-01-2023“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
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7.11-10-2022Title: Structuring of Unstructured Data from Heterogeneous Sources, Source: Indian Journal of Science and Technology, 15(41), pp 2188-2193
Authors: BL Shilpa, BR Shambhavi
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8.01-07-2022“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.
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9.01-04-2022‘Computational offloading framework using caching and cloud service selection in mobile cloud computing’, International Journal of Advanced Intelligence Paradigms, Inderscience, Vol. 21, Nos. 3/4, pp.189–210, April 2022
Authors: Sindhu K, Guruprasad H.S.
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10.30-11-2021Title: Learning to Translate Kannada and English Queries for Mixed Script Information Retrieval Source: Computing And Informatics (Web of Science Q4 Journal) DOI: https://doi.org/10.31577/cai_2021_3_628
Authors: B. S. Sowmya Lakshmi, Shambhavi B R
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11.09-11-2021Title: Combined deep learning classifiers for stock market prediction: integrating stock price and news sentiments Source: Kybernetes (Web of Science Q3 Journal)
Authors: Shilpa B L, Shambhavi B R
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12.15-02-2021Title: An ensemble of grapheme and phoneme-based models for automatic English to Kannada back-transliteration Source: International Journal of Intelligence and Sustainable Computing, Inderscience Publishers DOI: 10.1504/IJISC.2020.10034358
Authors: Sowmya Lakshmi, Shambhavi B R
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13.31-08-2020"CompNet : A novel Knowledge Graph Embedding Technique for Link Prediction", International Journal of Computer Sciences and Engineering, Vol.8, Issue.8, August 2020 E-ISSN: 2347-2693
Authors: Kohsheen Tiku , Jayshree Maloo , R. Indra
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14.09-08-2020ENVISAGING PROMINENCE OF INDIAN TELECOM OPERATORS USING AN ENSEMBLE LINK BASED APPROACH
Authors: Kalyan Nagaraj, Amulyashree Sridhar, Sharvani G S
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15.14-05-2020Title: POS tagger model for Kannada text with CRF++ and deep learning approaches Source: Journal of Discrete Mathematical Sciences and Cryptography, Taylor & Francis Online, 23:2, 485-493 DOI: 10.1080/09720529.2020.1728902
Authors: M. Rajani Shree, Shambhavi BR
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16.01-05-2020“Mobile Device Performance Enhancement using Computational offloading”, International Journal of Advanced Science and Technology Vol. 29, No. 5, May (2020), pp. 5607-5617.
Authors: Sindhu K, HS Guruprasad
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17.30-01-2020Title: Extraction of Bilingual Dictionary from Comparable Corpora for Resource Scarce Languages Source: Journal of Computational and Theoretical Nanoscience, Volume 17, Number 1, January 2020, pp. 54-60(7) Publisher: American Scientific Publishers DOI: https://doi.org/10.1166/jctn.2020.8629
Authors: Sowmya Lakshmi B. S, Shambhavi, B. R.
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18.29-11-2019Title: The Eminence of Co-Expressed Ties in Schizophrenia Network Communities Journal: Data Publisher: MDPI
Authors: Kalyan Nagaraj, Amulyashree Sridhar, Sharvani G S
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19.31-08-2019Title: Encrypting and preserving sensitive attributes in customer churn data using novel dragonfly based pseudonymizer approach Journal: Information Publisher: MDPI
Authors: Kalyan Nagaraj, Amulyashree Sridhar, Sharvani G S
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20.01-07-2019“Smart Cradle System for Child Monitoring using IoT”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-9, July 2019
Authors: Sindhu K, Amol Srivastava, B. E. Yashaswini, Akshit Jagnani
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