True optimization is the revolutionary contribution of modern research to decision processes.
Panigrahi, Paresh Kumar, Sukanta Nayak, and Oscar Castillo. "Gradient Like Optimization Technique with Finite Element Method to Quantify the Uncertainties under Interval Type 2 Fuzzy Environments." Mathematics and Computers in Simulation (2025). Article Link
Bharadwaj, Barige, Sukanta Nayak, and Paresh Kumar Panigrahi. "Sentiment analysis for identifying depression through social media texts using machine learning techniques." Big Data and Computing Visions 5.2 (2025): 102-118. Article Link
Panigrahi, Paresh Kumar, and Sukanta Nayak. "An Inexact Line Search FQNDFP Algorithm to Investigate Uncertain Optimization Problems." Optimality 2.2 (2025): 106-117. Article Link.
Panigrahi, Paresh Kumar, and Sukanta Nayak. "Fuzzy Levenberg Marquart optimization algorithm with inexact line search technique to solve imprecisely defined nonlinear unconstrained optimization problems." International Journal of Machine Learning and Cybernetics (2025): 1-25. Article Link.
Panigrahi, Paresh Kumar, and Sukanta Nayak. "Numerical approach to solve imprecisely defined systems using Inner Outer Direct Search optimization technique." Mathematics and computers in simulation 215 (2024): 578-606. Article Link
Panigrahi, Paresh Kumar, Sukanta Nayak, and S. A. Edalatpanah. "A Non-probabilistic strategy to investigate imprecisely defined nonlinear eigenvalue for structural dynamic problems." New mathematics and natural computation (2024): 1-36. Article Link
Panigrahi, Paresh Kumar, and Sukanta Nayak. "Conjugate gradient with Armijo line search approach to investigate imprecisely defined unconstrained optimisation problem." International journal of computational science and engineering 27.4 (2024): 458-471. Article Link.
Panigrahi, Paresh Kumar, and Sukanta Nayak. "Numerical investigation of non-probabilistic systems using Inner Outer Direct Search optimization technique." AIMS mathematics 8.9 (2023): 21329-21358. Article Link.
Panigrahi, Paresh Kumar, and Sukanta Nayak. "Gradient-based optimization approach to solve fuzzy algebraic equations governed engineering problems." AI, Numerical Optimization, IoT and Blockchain for Healthcare 4.0. IET, 105-134. Article Link.
Paresh, Kumar Panigrahi, and Sukanta Nayak. "Nonprobabilistic Approach to Solve Multiobjective Optimization Model with Applications in Blockchain Technology." Using Blockchain Technology in Healthcare Settings. CRC Press, 2025. 263-284. Article Link.
Panigrahi, Paresh Kumar, and Sukanta Nayak. "An Optimization Algorithm to Solve Imprecisely Defined Unconstrained Optimization Problem." Analytical Decision Making and Data Envelopment Analysis: Advances and Challenges. Singapore: Springer Nature Singapore, 2024. 259-279. Article Link.