Somnath Das, Scindhiya Laxmi, "Adaptive residual refinement in physics-informed neural networks for breast cancer thermal modeling and data-driven partial differential equation discovery", Engineering Applications of Artificial Intelligence, 2026.
Yash Arora, Scindhiya Laxmi, S. K. Gupta. "A robust twin support vector machine with huberized hinge loss function with an application in handwritten digit recognition", Pattern Analysis and Applications, 2026.
Scindhiya Laxmi, Sumit Kumar, Shiv Kumar Gupta, “Human activity recognition using fuzzy proximal support vector machine for multicategory classification”, Knowledge and Information Systems, Vol. 65 (11), pp. 4585-4611, 2023.
Scindhiya Laxmi, Shiv Kumar Gupta “Multi-category intuitionistic fuzzy twin support vector machines with an application to plant leaf recognition”, Engineering Applications of Artificial Intelligence, vol. 110, 104687, 2022.
Scindhiya Laxmi, Shiv Kumar Gupta, Sumit Kumar “Intuitionistic fuzzy least square twin support vector machines for pattern classification”, Annals of Operations Research, Vol. 339 (3), pp. 1329-1378, 2022.
Scindhiya Laxmi, Shiv Kumar Gupta, Sumit Kumar “Intuitionistic Fuzzy Proximal Support Vector Machines for Multicategory Classification Problems”, Soft Computing, Vol. 25, pp. 14039–14057, 2021.
Scindhiya Laxmi, Shiv Kumar Gupta “Intuitionistic Fuzzy Proximal Support Vector Machines for Pattern Classification” Neural Processing Letters, Vol. 51, pp. 2701–2735, 2020.
Anshu Mishra, Scindhiya Laxmi, “HCAF-XUNET: A Novel Backbone-Agnostic Hierarchical Fusion for Robust Multi-Modal Brain Tumor Segmentation”, IEEE 23rd International symposium on Biomedical Imaging, 2026, (IEEE ISBI 2026), ExCel London, London, UK.
Scindhiya Laxmi, “A Robust Xg-PINN Approach for Physics Informed Forward and Inverse PDE Learning in Cancer Detection”, SIAM Conference on Parallel Processing for Scientific Computing, 2026, (SIAM PP26) University of Berlin, Berlin, Germany.
Somnath Das, Scindhiya Laxmi, “RAPINN: A novel Residual guided self-Adaptive loss balanced Physics-Informed Neural Network for robust early cancer detection”, International Conference on Applied AI and Scientific Machine Learning, 2025, (CASML 2025), IISc Bangalore, India.
Somnath Das, Scindhiya Laxmi, " "Residual-based adaptive physics-informed neural networks for breast cancer detection", National Conference on Nonlinear Analysis, Control and Optimization, 2025, IIT (ISM) Dhanbad, India.
Scindhiya Laxmi, S. K. Gupta, “Intuitionistic fuzzy proximal support vector machine” at the 51st annual convention of operational research society of India and international conference organized by Indian Institute of Technology (IIT) Bombay, India 16th-19th Dec 2018.