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Jingwei Too
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2020 – today
- 2023
- [j18]Majdi M. Mafarja, Thaer Thaher, Mohammed Azmi Al-Betar, Jingwei Too, Mohammed A. Awadallah, Iyad Abu Doush, Hamza Turabieh:
Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning. Appl. Intell. 53(15): 18715-18757 (2023) - [j17]Ali Safaa Sadiq, Amin Abdollahi Dehkordi, Seyedali Mirjalili, Jingwei Too, Prashant Pillai:
Trustworthy and Efficient Routing Algorithm for IoT-FinTech Applications Using Nonlinear Lévy Brownian Generalized Normal Distribution Optimization. IEEE Internet Things J. 10(3): 2215-2230 (2023) - [j16]Majdi M. Mafarja, Thaer Thaher, Jingwei Too, Hamouda Chantar, Hamza Turabieh, Essam H. Houssein, Marwa M. Emam:
An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification. Neural Comput. Appl. 35(2): 1749-1775 (2023) - 2022
- [j15]Jingwei Too, Ali Safaa Sadiq, Seyed Mohammad Mirjalili:
A conditional opposition-based particle swarm optimisation for feature selection. Connect. Sci. 34(1): 339-361 (2022) - [j14]Thaer Thaher, Hamouda Chantar, Jingwei Too, Majdi M. Mafarja, Hamza Turabieh, Essam H. Houssein:
Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems. Expert Syst. Appl. 195: 116550 (2022) - [j13]Jingwei Too, Guoxi Liang, Huiling Chen:
Memory-based Harris hawk optimization with learning agents: a feature selection approach. Eng. Comput. 38(5): 4457-4478 (2022) - [c1]Jingwei Too, Ali Safaa Sadiq, Hesam Akbari, Guo Ren Mong, Seyedali Mirjalili:
Hybrid Generalized Normal Distribution Optimization with Sine Cosine Algorithm for Global Optimization. ICHSA 2022: 35-42 - 2021
- [j12]Jingwei Too, Seyedali Mirjalili:
General Learning Equilibrium Optimizer: A New Feature Selection Method for Biological Data Classification. Appl. Artif. Intell. 35(3): 247-263 (2021) - [j11]Yousef Hassouneh, Hamza Turabieh, Thaer Thaher, Iyad Tumar, Hamouda Chantar, Jingwei Too:
Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction. IEEE Access 9: 14239-14258 (2021) - [j10]Jingwei Too, Abdul Rahim Abdullah:
Opposition based competitive grey wolf optimizer for EMG feature selection. Evol. Intell. 14(4): 1691-1705 (2021) - [j9]Jingwei Too, Seyedali Mirjalili:
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study. Knowl. Based Syst. 212: 106553 (2021) - [j8]Jingwei Too, Majdi M. Mafarja, Seyedali Mirjalili:
Spatial bound whale optimization algorithm: an efficient high-dimensional feature selection approach. Neural Comput. Appl. 33(23): 16229-16250 (2021) - [j7]Jingwei Too, Abdul Rahim Abdullah:
A new and fast rival genetic algorithm for feature selection. J. Supercomput. 77(3): 2844-2874 (2021) - 2020
- [j6]Jingwei Too, Abdul Rahim Abdullah:
Binary atom search optimisation approaches for feature selection. Connect. Sci. 32(4): 406-430 (2020)
2010 – 2019
- 2019
- [j5]Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad:
Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification. Axioms 8(3): 79 (2019) - [j4]Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Weihown Tee:
EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization. Comput. 7(1): 12 (2019) - [j3]Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad:
Binary Competitive Swarm Optimizer Approaches for Feature Selection. Comput. 7(2): 31 (2019) - [j2]Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad:
A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection. Informatics 6(2): 21 (2019) - 2018
- [j1]Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Nursabillilah Mohd Ali, Weihown Tee:
A New Competitive Binary Grey Wolf Optimizer to Solve the Feature Selection Problem in EMG Signals Classification. Comput. 7(4): 58 (2018)
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