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E-raamat: Advanced Mathematical Techniques in Computational and Intelligent Systems

Edited by (National Institute of Science Education and Research, Bhubneswar, India.), Edited by (Prairie View A&M University, Houston, Texas), Edited by
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This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent-based methods.

  • Discusses advanced techniques like key cell, Mobius inversion, and zero suffix techniques to find initial feasible solutions to optimization problems.
  • Provides a useful guide towards the development of a sustainable model for disaster management.
  • Presents optimized hybrid block method techniques to solve mathematical problems existing in the industries.
  • Covers mathematical techniques like Laplace transformation, stochastic process, and differential techniques related to reliability theory.
  • Highlights application on smart agriculture, smart healthcare, techniques for disaster management, and smart manufacturing.

Advanced Mathematical Techniques in Computational and Intelligent Systems is primarily written for graduate and senior undergraduate students, as well as academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and mathematics.



This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent-based methods.

1. Increasing the order of convergence of three step modified Potra-Ptak-Chebyshev methods for systems and equations.
2. Mathematical model to distinguish the symptomatic patient of COVID-19.
3. Maximum cost cell Method for IBFS of Transportation Problems.
4. Optimization Techniques and Applications to Solve Real-World Industrial Optimization Problems.
5. A Method to Solve Trapezoidal Transshipment Problem under Uncertainty.
6. Enhancing the Security of Public Key Cryptographic Model based on Integrated ElGamal-Elliptic Curve Diffe Hellman (EG-ECDH) Key Exchange Technique.
7. An investigation of fractional ordered biological systems using a robust semi-analytical technique.
8. Variable Selection in Multiple Nonparametric Regression Modelling.
9. Mathematical Modeling of Regulation of Sulfur Metabolic Pathways.
10. Some Results on Quasi Convergence in Gradual Normed Linear Spaces.
11. On Einstein Gyrogroup.
12. On the norms of Toeplitz and Hankel matrices with balancing and Lucas-balancing numbers.
13. Grey Wolf Optimizer for the design optimization of a DC-DC Buck Converter.
14. A new modified Iterative Transform Method for solving time-fractional nonlinear dispersive Korteweg-de Vries equation.
15. Application of Graph Theory in Search of Websites and Web Pages.

Dr. Sandeep Singh is an Assistant Professor at the Department of Mathematics at Akal University Talwandi Sabo, Bathinda, Punjab, India. He received his Ph.D. in Group Theory (Mathematics) from School of Mathematics, Thapar University, Patiala, India.

Prof. Aliakbar Montazer Haghighi is a Professor at the Department of Mathematics, Prairie View A&M University, Texas, USA. He received his Ph.D. degree from Case Western Reserve University, Cleveland, Ohio, USA.

Dr. Sandeep Dalal is a postdoctoral fellow at NISER, Bhubaneshwar, Orrisa, India. He received his Ph.D in algebraic graph theory from the Department of Mathematics, Birla Institute of Technology and Science, Pilani, India.
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