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ORCIDFahad Maqbool
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2020 – today
- 2023
[j10]Muhammad Saad Razzaq
, Fahad Maqbool, Muhammad Ilyas, Hajira Jabeen:
EvoRecipes: A Generative Approach for Evolving Context-Aware Recipes. IEEE Access 11: 74148-74164 (2023)- [j9]Muhammad Saad Razzaq, Babar Shah, Farkhund Iqbal, Muhammad Ilyas, Fahad Maqbool, Álvaro Rocha:
DeepClassRooms: a deep learning based digital twin framework for on-campus class rooms. Neural Comput. Appl. 35(11): 8017-8026 (2023) - [j8]Muhammad Saqib Nawaz, Feras N. Al-Obeidat, Abdallah Tubaishat, Tehseen Zia, Fahad Maqbool, Álvaro Rocha:
MDVA-GAN: multi-domain visual attribution generative adversarial networks. Neural Comput. Appl. 35(11): 8035-8050 (2023) - [c8]Abdallah Tubaishat, Muhammad Saad Razzaq, Fahad Maqbool, Muhammad Ilyas, Muhammad Shahrose Khan:
Quran Wordnet: A Framework for Semantic and Sentiment Search. CiSt 2023: 24-32 - [i1]Fahad Maqbool, Muhammad Saad Razzaq, Hajira Jabeen:
The FAIRy Tale of Genetic Algorithms. CoRR abs/2305.00238 (2023) - 2022
- [j7]Maham Khalid, Feras N. Al-Obeidat, Abdallah Tubaishat, Babar Shah, Muhammad Saad Razzaq, Fahad Maqbool, Muhammad Ilyas:
An Assortment of Evolutionary Computation Techniques (AECT) in gaming. Neural Comput. Appl. 34(11): 8295-8308 (2022) - [j6]Feras N. Al-Obeidat, Álvaro Rocha, Maryam Akram, Muhammad Saad Razzaq, Fahad Maqbool:
(CDRGI)-Cancer detection through relevant genes identification. Neural Comput. Appl. 34(11): 8447-8454 (2022) - [j5]Feras N. Al-Obeidat, Álvaro Rocha, Muhammad Shahrose Khan, Fahad Maqbool, Muhammad Saad Razzaq:
Parallel tensor factorization for relational learning. Neural Comput. Appl. 34(11): 8455-8464 (2022) - 2021
- [j4]Ramesha Tariq, Fahad Maqbool, Syed Z. Abbas:
Small-scale production of hydrogen via auto-thermal reforming in an adiabatic packed bed reactor: Parametric study and reactor's optimization through response surface methodology. Comput. Chem. Eng. 145: 107192 (2021) - [j3]Fahad Maqbool, Asad Waqar Malik, Syed Meesam Raza Naqvi, Nadeem Ahmed, Gabriele D'Angelo, Imran Mahmood:
SEECSSim: A toolkit for parallel and distributed simulations for mobile devices. J. Simulation 15(3): 235-260 (2021) - [j2]Muhammad Iqbal, Feras N. Al-Obeidat, Fahad Maqbool, Muhammad Saad Razzaq, Sajid Anwar, Abdallah Tubaishat, Muhammad Shahrose Khan, Babar Shah:
COVID-19 Patient Count Prediction Using LSTM. IEEE Trans. Comput. Soc. Syst. 8(4): 974-981 (2021) - [c7]Fahad Maqbool, Muhammad Saad Razzaq, Asif Yar, Hajira Jabeen:
Large Scale Distributed Optimization using Apache Spark: Distributed Scalable Shade-Bat (DistSSB). CEC 2021: 2559-2566
2010 – 2019
- 2019
- [c6]Fahad Maqbool, Muhammad Saad Razzaq, Jens Lehmann, Hajira Jabeen:
Scalable Distributed Genetic Algorithm Using Apache Spark (S-GA). ICIC (1) 2019: 424-435 - 2018
- [j1]Muhammad Saad Razzaq, Fahad Maqbool, Maham Khalid, Iram Tariq, Aqsa Zahoor, Muhammad Ilyas:
Zombies Arena: fusion of reinforcement learning with augmented reality on NPC. Clust. Comput. 21(1): 655-666 (2018) - [c5]Fahad Maqbool, Asad Waqar Malik, Imran Mahmood, Gabriele D'Angelo:
SEECSSim - A Parallel and Distributed Simulation Framework for Mobile Devices. DS-RT 2018: 263-269 - [c4]Awais Adnan, Sajid Anwar, Tehseen Zia, Muhammad Saad Razzaq, Fahad Maqbool, Zia Ur Rehman:
Beyond Beall's Blacklist: Automatic Detection of Open Access Predatory Research Journals. HPCC/SmartCity/DSS 2018: 1692-1697 - 2017
- [c3]Fahad Maqbool, Syed Meesam Raza Naqvi, Asad Waqar Malik:
Why to redesign PDES framework for smart devices: an empirical study. SummerSim 2017: 20:1-20:11 - 2016
- [c2]Muhammad Saad Razzaq, Fahad Maqbool, Amir Hussain:
Modified Cat Swarm Optimization for Clustering. BICS 2016: 161-170
2000 – 2009
- 2007
- [c1]Muhammad Saad Razzaq, Fahad Maqbool, Bilal Anjum, Samreen Zafar, Umme Laila, Faiza Noor:
The Challenges & Case for Mining Software Repositories. IMECS 2007: 734-739
Coauthor Index
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