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Junaid Ali Khan
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2020 – today
- 2024
- [j19]Farhad Muhammad Riaz, Shafiq Ahmad, Junaid Ali Khan, Saud Altaf, Zia ur Rehman, Shuaib Karim Memon:
Numerical Treatment of Non-Linear System for Latently Infected CD4+T Cells: A Swarm- Optimized Neural Network Approach. IEEE Access 12: 103119-103132 (2024) - [j18]Muhammad Attique Khan, Kashif Javed, Sajid Ali Khan, Tanzila Saba, Usman Habib, Junaid Ali Khan, Aaqif Afzaal Abbasi:
Human action recognition using fusion of multiview and deep features: an application to video surveillance. Multim. Tools Appl. 83(5): 14885-14911 (2024) - 2023
- [j17]Abdul Haseeb, Muhammad Attique Khan, Faheem Shehzad, Majed Alhaisoni, Junaid Ali Khan, Taerang Kim, Jaehyuk Cha:
Knee Osteoarthritis Classification Using X-Ray Images Based on Optimal Deep Neural Network. Comput. Syst. Sci. Eng. 47(2): 2397-2415 (2023) - [j16]Md Sahabuddin, Qingmei Tan, Arslan Ayub, Tehreem Fatima, Mustafa Ishaq, Junaid Ali Khan:
Workplace ostracism and employee silence: an identity-based perspective. Kybernetes 52(1): 97-120 (2023) - 2021
- [j15]Junaid Ali Khan, Saif Ur Rehman Khan, Javed Iqbal, Inayat ur-Rehman:
Empirical Investigation About the Factors Affecting the Cost Estimation in Global Software Development Context. IEEE Access 9: 22274-22294 (2021) - [j14]Junaid Ali Khan, Saif Ur Rehman Khan, Tamim Ahmed Khan, Inayat ur-Rehman:
An Amplified COCOMO-II Based Cost Estimation Model in Global Software Development Context. IEEE Access 9: 88602-88620 (2021) - [j13]Farwah Aizaz, Saif Ur Rehman Khan, Junaid Ali Khan, Inayat ur-Rehman, Adnan Akhunzada:
An Empirical Investigation of Factors Causing Scope Creep in Agile Global Software Development Context: A Conceptual Model for Project Managers. IEEE Access 9: 109166-109195 (2021) - [c7]Kaaenat Ali, Junaid Ali Khan, Farwah Aizaz, Mansoor Ahmed:
Software Requirements Prioritization in the context of Global Software Development. FIT 2021: 13-18 - [c6]Syed Abu Saeed, Junaid Ali Khan, Saira Naeem, Saif Ur Rehman Khan:
An Empirical Investigation on Cost Estimation Challenges in Agile Software Development (ASD) Context. FIT 2021: 188-193 - [c5]Farwah Aizaz, Uzair Iqbal Janjua, Haroon Zafar, Junaid Ali Khan, Irfan Kazim:
An Empirical Investigation on Software Cost Estimation Techniques and Barriers on Agile Software Development in Software Industry of Pakistan. FIT 2021: 194-199
2010 – 2019
- 2019
- [j12]Muhammad Asif Zahoor Raja, Junaid Ali Khan, Aneela Zameer, Najeeb Alam Khan, Muhammad Anwaar Manzar:
Numerical treatment of nonlinear singular Flierl-Petviashivili systems using neural networks models. Neural Comput. Appl. 31(7): 2371-2394 (2019) - 2018
- [j11]Asmatullah Chaudhry, Muhammad Amin, Iqbal Murtza, R. D. Khan, Junaid Ali Khan:
A novel chaotic differential evolution hybridized with quadratic programming for short-term hydrothermal coordination. Neural Comput. Appl. 30(11): 3533-3544 (2018) - 2016
- [j10]Muhammad Asif Zahoor Raja, Junaid Ali Khan, Naveed Ishtiaq Chaudhary, Elyas Shivanian:
Reliable numerical treatment of nonlinear singular Flierl-Petviashivili equations for unbounded domain using ANN, GAs, and SQP. Appl. Soft Comput. 38: 617-636 (2016) - [c4]Junaid Ali Khan, Munam Ali Shah:
Car Number Plate Recognition (CNPR) system using multiple template matching. ICAC 2016: 290-295 - 2015
- [j9]Muhammad Asif Zahoor Raja, Junaid Ali Khan, Abdul Majeed Siddiqui, Djilali Behloul, Tahira Haroon, Raza Samar:
Exactly satisfying initial conditions neural network models for numerical treatment of first Painlevé equation. Appl. Soft Comput. 26: 244-256 (2015) - [j8]Junaid Ali Khan, Muhammad Asif Zahoor Raja, Mohammad Mehdi Rashidi, Muhammed I. Syam, Abdul-Majid Wazwaz:
Nature-inspired computing approach for solving non-linear singular Emden-Fowler problem arising in electromagnetic theory. Connect. Sci. 27(4): 377-396 (2015) - [j7]Muhammad Asif Zahoor Raja, Zulqurnain Sabir, Nasir Mehmood, Eman Salem Alaidarous, Junaid Ali Khan:
Design of stochastic solvers based on genetic algorithms for solving nonlinear equations. Neural Comput. Appl. 26(1): 1-23 (2015) - [j6]Muhammad Asif Zahoor Raja, Junaid Ali Khan, Syed Muslim Shah, Raza Samar, Djilali Behloul:
Comparison of three unsupervised neural network models for first Painlevé Transcendent. Neural Comput. Appl. 26(5): 1055-1071 (2015) - [j5]Junaid Ali Khan, Muhammad Asif Zahoor Raja, Muhammed I. Syam, Shujaat Ali Khan Tanoli, Saeed Ehsan Awan:
Design and application of nature inspired computing approach for nonlinear stiff oscillatory problems. Neural Comput. Appl. 26(7): 1763-1780 (2015) - 2014
- [j4]Mirza Muhammad Sabir, Junaid Ali Khan:
Optimal Design of PID Controller for the Speed Control of DC Motor by Using Metaheuristic Techniques. Adv. Artif. Neural Syst. 2014: 126317:1-126317:8 (2014) - 2012
- [j3]Muhammad Asif Zahoor Raja, Junaid Ali Khan, Siraj-ul-Islam Ahmad, Ijaz Mansoor Qureshi:
A New Stochastic Technique for Painlevé Equation-I Using Neural Network Optimized with Swarm Intelligence. Comput. Intell. Neurosci. 2012: 721867:1-721867:10 (2012) - 2011
- [j2]Junaid Ali Khan, Raja Muhammad Asif Zahoor, Ijaz Mansoor Qureshi:
Numerical treatment of nonlinear Emden-Fowler equation using stochastic technique. Ann. Math. Artif. Intell. 63(2): 185-207 (2011) - 2010
- [j1]Raja Muhammad Asif Zahoor, Junaid Ali Khan, Ijaz Mansoor Qureshi:
A new stochastic approach for solution of Riccati differential equation of fractional order. Ann. Math. Artif. Intell. 60(3-4): 229-250 (2010) - [c3]Raja Muhammad Asif Zahoor, Junaid Ali Khan, Ijaz Mansoor Qureshi:
Evolutionary Computational Intelligence in Solving the Fractional Differential Equations. ACIIDS (1) 2010: 231-240 - [c2]Raja Muhammad Asif Zahoor, Junaid Ali Khan, Ijaz Mansoor Qureshi:
Heuristic computational approach using swarm intelligence in solving fractional differential equations. GECCO (Companion) 2010: 2023-2026
2000 – 2009
- 2009
- [c1]Junaid Ali Khan, Raja Muhammad Asif Zahoor, Ijaz Mansoor Qureshi:
Swarm Intelligence for the Solution of Problems in Differential Equations. ICECS 2009: 141-147
Coauthor Index
aka: Muhammad Asif Zahoor Raja
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last updated on 2024-10-30 21:34 CET by the dblp team
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