M
Muhammad Asif Zahoor Raja
Researcher at National Yunlin University of Science and Technology
Publications - 464
Citations - 11960
Muhammad Asif Zahoor Raja is an academic researcher from National Yunlin University of Science and Technology. The author has contributed to research in topics: Artificial neural network & Computer science. The author has an hindex of 44, co-authored 289 publications receiving 6372 citations. Previous affiliations of Muhammad Asif Zahoor Raja include COMSATS Institute of Information Technology & Tunisia Polytechnic School.
Papers
More filters
Journal ArticleDOI
Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting
Ayaz Hussain Bukhari,Muhammad Asif Zahoor Raja,Muhammad Sulaiman,Saeed Islam,Muhammad Shoaib,Poom Kumam +5 more
TL;DR: A novel hybrid model with the strength of fractional order derivative is presented with their dynamical features of deep learning, long-short term memory (LSTM) networks, to predict the abrupt stochastic variation of the financial market.
Journal ArticleDOI
Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks
TL;DR: An effective short term wind power prediction methodology is presented, which uses an intelligent ensemble regressor that comprises Artificial Neural Networks and Genetic Programming, which is implemented and tested on data taken from five different wind farms located in Europe.
Journal ArticleDOI
Neuro-heuristics for nonlinear singular Thomas-Fermi systems
Zulqurnain Sabir,Muhammad Anwaar Manzar,Muhammad Asif Zahoor Raja,Muhammad Sheraz,Abdul-Majid Wazwaz +4 more
TL;DR: A neuro-heuristic scheme is design to solve nonlinear singular second order system based on Thomas-Fermi equation using the strength of universal approximation capabilities of feedforward artificial neural networks supported with optimization power of genetic algorithms and sequential quadratic programming.
Journal ArticleDOI
A stochastic computational intelligent solver for numerical treatment of mosquito dispersal model in a heterogeneous environment
Muhammad Umar,Muhammad Asif Zahoor Raja,Muhammad Asif Zahoor Raja,Zulqurnain Sabir,Afaf S. Alwabli,Muhammad Shoaib +5 more
TL;DR: The design of stochastic computational intelligent solver for the solution of mathematical model representing the dynamics of mosquito dispersal in a heterogeneous environment by feedforward artificial neural networks trained with genetic algorithms aided with sequential quadratic programming (SQP).
Journal ArticleDOI
A new stochastic computing paradigm for the dynamics of nonlinear singular heat conduction model of the human head
TL;DR: The results of the proposed schemes are determined in terms of temperature profiles by considering variants of the problem with different Biot numbers, metabolic thermogenesis slope parameters and thermogenesis heat production factors.