2023 - Research.com Mathematics in Taiwan Leader Award
Muhammad Asif Zahoor Raja mainly focuses on Artificial neural network, Nonlinear system, Mathematical optimization, Convergence and Algorithm. His Artificial neural network study integrates concerns from other disciplines, such as Computational intelligence, Genetic algorithm, Boundary value problem, Sequential quadratic programming and Interior point method. His research integrates issues of Evolutionary computation, Local search, Fitness function and Error function in his study of Nonlinear system.
In general Mathematical optimization, his work in Particle swarm optimization and Solver is often linked to Test case linking many areas of study. His biological study spans a wide range of topics, including Control theory and Signal processing. His research investigates the connection between Algorithm and topics such as Reliability that intersect with problems in Noise.
His scientific interests lie mostly in Artificial neural network, Nonlinear system, Algorithm, Applied mathematics and Mathematical optimization. His Artificial neural network study incorporates themes from Convergence, Genetic algorithm, Local search, Sequential quadratic programming and Solver. His research investigates the link between Nonlinear system and topics such as Differential equation that cross with problems in Residual.
His work carried out in the field of Algorithm brings together such families of science as Fitness function and Approximation theory. As part of the same scientific family, Muhammad Asif Zahoor Raja usually focuses on Applied mathematics, concentrating on Heat transfer and intersecting with Mass transfer. Many of his research projects under Mathematical optimization are closely connected to Active set method with Active set method, tying the diverse disciplines of science together.
The scientist’s investigation covers issues in Artificial neural network, Nonlinear system, Solver, Applied mathematics and Mechanics. His Artificial neural network research incorporates themes from Stability and Local search. His Stability research is multidisciplinary, incorporating elements of Convergence, Particle swarm optimization, Mathematical optimization and Robustness.
The concepts of his Local search study are interwoven with issues in Genetic algorithm and Boundary value problem. His studies in Nonlinear system integrate themes in fields like Algorithm, Finite difference and Sequential quadratic programming. His Solver research is multidisciplinary, incorporating perspectives in Flow and Swarm behaviour.
Muhammad Asif Zahoor Raja mostly deals with Artificial neural network, Mechanics, Applied mathematics, Nonlinear system and Nusselt number. Muhammad Asif Zahoor Raja interconnects Stability and Solver in the investigation of issues within Artificial neural network. Muhammad Asif Zahoor Raja has researched Applied mathematics in several fields, including Discretization and Differential equation.
The various areas that Muhammad Asif Zahoor Raja examines in his Differential equation study include Convergence, Computational intelligence and Fitness function. His Nonlinear system research includes elements of Algorithm and Finite difference. The Mathematical optimization study combines topics in areas such as Soft computing and Boundary value problem.
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Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks
Aneela Zameer;Junaid Arshad;Asifullah Khan;Muhammad Asif Zahoor Raja.
Energy Conversion and Management (2017)
Neuro-heuristics for nonlinear singular Thomas-Fermi systems
Zulqurnain Sabir;Muhammad Anwaar Manzar;Muhammad Asif Zahoor Raja;Muhammad Sheraz.
Applied Soft Computing (2018)
Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting
Ayaz Hussain Bukhari;Muhammad Asif Zahoor Raja;Muhammad Sulaiman;Saeed Islam.
IEEE Access (2020)
A new stochastic computing paradigm for the dynamics of nonlinear singular heat conduction model of the human head
Muhammad Asif Zahoor Raja;Muhammad Umar;Zulqurnain Sabir;Junaid Ali Khan.
European Physical Journal Plus (2018)
An efficient computational intelligence approach for solving fractional order Riccati equations using ANN and SQP
Muhammad Asif Zahoor Raja;Muhammad Anwaar Manzar;Raza Samar.
Applied Mathematical Modelling (2015)
A new adaptive strategy to improve online secondary path modeling in active noise control systems using fractional signal processing approach
Muhammad Saeed Aslam;Muhammad Asif Zahoor Raja.
Signal Processing (2015)
Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model
Iftikhar Ahmad;Muhammad Asif Zahoor Raja;Muhammad Bilal;Farooq Ashraf.
Neural Computing and Applications (2017)
Solution of the one-dimensional Bratu equation arising in the fuel ignition model using ANN optimised with PSO and SQP
Muhammad Asif Zahoor Raja.
Connection Science (2014)
Intelligent computing for numerical treatment of nonlinear prey–predator models
Muhammad Umar;Zulqurnain Sabir;Muhammad Asif Zahoor Raja.
Applied Soft Computing (2019)
Nature-inspired computing approach for solving non-linear singular Emden–Fowler problem arising in electromagnetic theory
Junaid Ali Khan;Muhammad Asif Zahoor Raja;Mohammad Mehdi Rashidi;Muhammad Ibrahim Syam.
Connection Science (2015)
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