Publications

• Dutta, A., Ramamoorthy, A., Gayathri Lakshmi, M., & Kumar, P. K. (2025). Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections. Journal of Molecular Pathology, 6(1), 6, MDPI. [Paper][Code]

• Dutta, A., Nayak, S. P., Naskar, R., & Chakraborty, R. S. (2025). KOL-4-GEN: Stacked Kolmogorov-Arnold and Generative Adversarial Networks for Malware Binary Classification through Visual Analysis. IEEE Embedded Systems Letters [Early Access], pp. 1-4, IEEE. [Paper][Code]

• Dutta, A., Kumar, P. K., Lakshmanan, K., & Ghosh, S. (2025). SADAK: Simple, and Automatic Detection of Accidents on roads using Kolmogorov-Arnold Networks. International Journal of Information Technology, pp. 1-8. Springer. [Paper][Code]

• Dutta, A., Lakshmanan, K., Karthik, R., Shanmuga Priya, S., & Ramamoorthy, A. (2024). An ellipsoid restrictive region-based regularization for regression analysis. International Journal of Information Technology, pp. 1-7. Springer. [Paper][Code]

• Dutta, A. (2024). Denoising Hyperspectral Patches Between Manzius U & Boguslawsky M Lunar Craters from the Ch-1 M3 & Ch-2 IIRS Data. Journal of the Indian Society of Remote Sensing, pp. 1-13. Springer. [Paper][Code]

• Raj, A. S. A., Lakshmanan, K., Balamurugan M., Maheswari B., Gowri J., & Dutta, A. (2024). Forecasting the Economic Crisis of Sri Lanka: Application of Machine Learning Algorithms for Time Series Data. Procedia Computer Science, pp. 1087-1096. Elsevier. [Paper][Code]

• Dutta, A., Lakshmanan, K., Kumar, S., & Ramamoorthy, A. (2024). Newtonian Physics Informed Neural Network (NWPINN) for Spatio-Temporal Forecast of Visual Data. Human-Centric Intelligent Systems, pp. 1-9. Springer. [Paper][Code]

• Dutta, A. (2024). Quantaslicing: Scientifically Slicing Cakes. Resonance, 29(1), pp. 109-114. Springer. [Paper][Code]

• Dutta, A., Choudhury, M. R., & Sharma, R. K. (2023). Minimum average case time complexity for sorting algorithms. Iran Journal of Computer Science, 6(4), 445-451. Springer. [Paper][Code]

• Dutta, A., Harshith, J., Ramamoorthy, A., & Lakshmanan, K. (2023). Attractor Inspired Deep Learning for Modelling Chaotic Systems. Human-Centric Intelligent Systems, pp. 1-12. Springer. [Paper][Code]

• Dutta, A., Voumik, L. C., Kumarasankaralingam, L., Rahaman, A., & Zimon, G. (2023). The Silicon Valley Bank Failure: Application of Benford’s Law to Spot Abnormalities and Risks. Risks, 11(7), 120. MDPI. [Paper][Code]

• Dutta, A., Voumik, L. C., Ramamoorthy, A., Ray, S., & Raihan, A. (2023). Predicting Cryptocurrency Fraud Using ChaosNet: The Ethereum Manifestation. Journal of Risk and Financial Management, 16(4), 216. MDPI. [Paper][Code]

• Dutta, A., Choudhury, M. R., & Kundu, K. (2023). Extrapolating linked list data structures to 3rd dimension. Iran Journal of Computer Science, pp. 1-12. Springer. [Paper][Code]

• Choudhury, M. R., Dutta, A., & De, A. K. (2023). Data Corroboration of The Catastrophic Chernobyl Tragedy Using Arc-Length Estimate Conjecture. Vertices: Duke’s Undergraduate Research Journal. Duke University Press. [Paper][Code]

• Dutta, A., Choudhury, M. R., & De, A. K. (2022). A Unified Approach to Fraudulent Detection. International Journal of Applied Engineering Research, 17(2), pp. 110-124. [Paper][Code]

• Dutta, A., Ray, S., Kumar, P. K., Ramamoorthy, A., Chandrasekar, P., & Gayen, S. (2024). A Unified Vista and Juxtaposed Study on k-ary Search Algorithms. In 2024 2nd International Conference on Networking, Embedded and Wireless Systems (ICNEWS). [Paper][Code]

• Kumar, P. K., Ray, S., Lakshmanan, K., Ramamoorthy, A., Kumar, P., & Dutta, A. (2024). Detecting Fraud Calls vis-à-vis Natural Language Processing. In 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT). [Paper][Code]

• Dutta, A., Ray, S., Korchagina, E., Druzhinin, A., & Dmitriev, N. (2023). Plexus Search – A Search Enumeration. In 2023 IEEE Silchar Subsection Conference (SILCON). [Paper][Code]

• Neelima, S., Armstrong Anand, J. E., Hara Nath Reddy, A. H., Rajeshwari, S., Mekala, S., & Dutta, A. (2023). Time Series Forecasting of the Microsoft Corporation Stock Price. In 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT). [Paper][Code]

• Dutta, A., Lakshmanan, K., Sivakumar, P., Ramamoorthy, A., Kumar, P. K., & Harshith, J. (2023). Forecasting of Cyclone Severity using Intelligent NeuralNets subjecting to Infrared Imaging. In 2023 9th International Conference on Smart Computing and Communications (ICSCC). [Paper][Code]

• Dutta, A., Panja, M., Kumar, U., Hens, C., & Chakraborty, T. (2023). Van der Pol-informed Neural Networks for Multi-step-ahead Forecasting of Extreme Climatic Events. In NeurIPS 2023 AI for Science Workshop. [Paper][Code]

• Dutta, A., Lakshmanan, K., Sivakumar, P., Ramamoorthy, A., Kumar, P. K., & Harshith, J. (2023). Forecasting of Cyclone Severity using Intelligent NeuralNets subjecting to Infrared Imaging. In 2023 9th International Conference on Smart Computing and Communications (ICSCC) (pp. 268-273). [Paper][Code]

• Kumar, P. K., Munjal, D., Rani, S., Dutta, A., Voumik, L. C., & Ramamoorthy, A. (2023). Unified View of Damage leaves Planimetry & Analysis Using Digital Images Processing Techniques. In 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (pp. 100-105). IEEE. [Paper][Code]

• Dutta, A., Harshith, J., Lakshmanan, K., & Ramamoorthy, A. (2023). Propositional modelling of a modus operandi to conduct manned mission to Venus apropos Beнepa Program data. In 2023 3rd International Conference on Intelligent Technologies (CONIT) (pp. 1-5). IEEE. [Paper][Code]

• Dutta, A., Harshith, J., Kumar, P. K., Soni, Y., Voumik, L. C., & Ramamoorthy, A. (2023, May). Tagging of Quarks to Particle Shower Imagery vis-à-vis Intelligent Learning. In 2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC) (pp. 128-132). IEEE. [Paper][Code]

• Dutta, A., Harshith, J., Ramamoorthy, A., & Kumar, P. K. (2023). A Proposition to Advance Martian Manned Mission. In 2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC) (pp. 385-390). IEEE. [Paper][Code]

• Voumik, L. C., Karthik, R., Ramamoorthy, A., & Dutta, A. (2023). A Study on Mathematics Modeling using Fuzzy Logic and Artificial Neural Network for Medical Decision Making System. In 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (pp. 492-498). IEEE. [Paper][Code]

• Kumar, P. K., Kumar, I., Kumar, S., Kumar, P., Harshith, J., & Dutta, A. (2023). Diagnosing Phytophthora infestans infestations on Solanum tuberosum leaves using Machine Learning Classifiers. In 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (pp. 95-99). IEEE. [Paper][Code]

• Dutta, A., Lakshmanan, K., Ramamoorthy, A., Voumik, L. C., Harshith, J., & Motha, J. P. (2023). A Review on Optimality Investigation Strategies for the Balanced Assignment Problem. In 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (pp. 254-259). IEEE. [Paper][Code]

• Dutta, A., Harshith, J., Lakshmanan, K., & Ramamoorthy, A. (2023). Computational Time Complexity for k-Sum Problem Amalgamated with Quantum Search. In 2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) (pp. 1-5). IEEE. [Paper][Code]

• Dutta, A., Negi, A., Harshith, J., Selvapandian, D., Raj, A. S. A., & Patel, P. R. (2023). Evaluation Modelling of Asteroids’ Hazardousness using ChaosNet. In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT) (pp. 1-5). IEEE. [Paper][Code]

• Dutta, A., Raj, A. S. A., Ramamoorthy, A., Harshith, J., Soni, Y., & Sadh, U. (2023). Stellar Classification vis-à-vis Convolutional Neural Network. In 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) (pp. 74-79). IEEE. [Paper][Code]

• Dutta, A., Kumar, P. K., De, A., Kumar, P., Dwivedi, S., & Harshith, J. (2023). Ascribing Machine Learning Classifiers to diagnose the attacks of Alternaria solani on Leaves of Solanum tuberosum. In 2023 2nd International Conference on Computational Systems and Communication (ICCSC) (pp. 1-6). IEEE. [Paper][Code]

• Dutta, A., Kumar, P. K., De, A., Kumar, P., Harshith, J., & Soni, Y. (2023). Maneuvering Machine Learning Algorithms to Presage the Attacks of Fusarium oxysporum on Cotton Leaves. In 2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) (pp. 1-7). IEEE. [Paper][Code]

• Dutta, A., Harshith, J., Soni, Y., Gupta, A., Gupta, V. K., & Gupta, A. (2023). Computational Time Complexity for Sorting Algorithm amalgamated with Quantum Search. In 2023 International Conference for Advancement in Technology (ICONAT) (pp. 1-6). IEEE. [Paper][Code]

• Dutta, A., & Saha, M. (2022). Contrasting Parallelized with Sequential Sorting. In 2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE) (Vol. 7, pp. 256-259). IEEE. [Paper][Code]

• Dutta, A., Choudhury, M. R., & Kundu, K. (2022). Validation of Minimal Worst-Case Time Complexity by Stirling’s, Ramanujan’s, and Mortici’s Approximation. In 2022 3rd International Conference for Emerging Technology (INCET) (pp. 1-4). IEEE. [Paper][Code]

• Dutta, A., Harshith, J., Ramamoorthy, A., Raj, A. S. A., Balamurugan, M., & Vinodhini, D. (2024). Prognosis of breast cancer using machine learning classifiers. Elsevier. [Paper][Code]

• Dutta, A., & Kumar, P. K. (2022). Space–Time Continuum Metric. In Proceedings of the International Conference on Intelligent Computing, Communication and Information Security (pp. 421-434). Singapore: Springer Nature Singapore. [Paper][Code]

• Choudhury, M. R., Dutta, A., & Kumar De, A. (2022). An Insight to Bitcoin Price Using Weber’s Law. In International Conference on Advances in Data Science and Computing Technologies (pp. 385-394). Singapore: Springer Nature Singapore. [Paper][Code]

• Dutta, A., & Kanti Kumar, P. (2022). The Indian Search Algorithm. In International Conference on Cybersecurity in Emerging Digital Era (pp. 335-342). Singapore: Springer Nature Singapore. [Paper][Code]

• Dutta, A., & Munjal, D. (2022). The λNF Problem. In International Conference on Cybersecurity in Emerging Digital Era (pp. 327-334). Singapore: Springer Nature Singapore. [Paper][Code]