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Edy Tonnizam Mohamad
Person information
- affiliation: Universiti Teknologi Malaysia, Johor Bahru, Malaysia
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2020 – today
- 2024
- [j19]Biao He
, Danial Jahed Armaghani, Sai Hin Lai, Pijush Samui, Edy Tonnizam Mohamad:
Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance. Expert Syst. Appl. 237(Part C): 121616 (2024) - 2022
- [j18]Jie Zeng, Bishwajit Roy, Deepak Kumar, Ahmed Salih Mohammed
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance. Eng. Comput. 38(5): 3811-3827 (2022) - 2021
- [j17]Qiancheng Fang, Behnam Yazdani Bejarbaneh
Strength evaluation of granite block samples with different predictive models. Eng. Comput. 37(2): 891-908 (2021) - 2020
- [j16]Mohammadreza Koopialipoor, Bhatawdekar Ramesh Murlidhar, Ahmadreza Hedayat
The use of new intelligent techniques in designing retaining walls. Eng. Comput. 36(1): 283-294 (2020) - [j15]Edy Tonnizam Mohamad, Diyuan Li
The effects of ABC, ICA, and PSO optimization techniques on prediction of ripping production. Eng. Comput. 36(4): 1355-1370 (2020) - [j14]Hooman Harandizadeh, Danial Jahed Armaghani, Edy Tonnizam Mohamad:
Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets. Neural Comput. Appl. 32(17): 14047-14067 (2020)
2010 – 2019
- 2019
- [j13]Mohammadreza Koopialipoor, Ali Fallah
Three hybrid intelligent models in estimating flyrock distance resulting from blasting. Eng. Comput. 35(1): 243-256 (2019) - [j12]Ebrahim Noroozi Ghaleini, Mohammadreza Koopialipoor, Mohammadreza Momenzadeh, Mehdi Esfandi Sarafraz
A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls. Eng. Comput. 35(2): 647-658 (2019) - [j11]Behrouz Gordan, Mohammadreza Koopialipoor, Arockiasamy Clementking
Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques. Eng. Comput. 35(3): 945-954 (2019) - [j10]Mohammadreza Koopialipoor, Ebrahim Noroozi Ghaleini, Mojtaba Haghighi, Sujith Kanagarajan, Parviz Maarefvand, Edy Tonnizam Mohamad:
Overbreak prediction and optimization in tunnel using neural network and bee colony techniques. Eng. Comput. 35(4): 1191-1202 (2019) - [j9]Bhatawdekar Ramesh Murlidhar, Munir Ahmed, Dinesh Mavaluru
Prediction of rock interlocking by developing two hybrid models based on GA and fuzzy system. Eng. Comput. 35(4): 1419-1430 (2019) - 2018
- [j8]Roohollah Shirani Faradonbeh
Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm. Neural Comput. Appl. 29(6): 269-281 (2018) - [j7]Danial Jahed Armaghani, Mahdi Hasanipanah
Feasibility of ICA in approximating ground vibration resulting from mine blasting. Neural Comput. Appl. 29(9): 457-465 (2018) - [j6]Edy Tonnizam Mohamad, Danial Jahed Armaghani, Ehsan Momeni
Rock strength estimation: a PSO-based BP approach. Neural Comput. Appl. 30(5): 1635-1646 (2018) - 2017
- [j5]Edy Tonnizam Mohamad, Roohollah Shirani Faradonbeh
An optimized ANN model based on genetic algorithm for predicting ripping production. Neural Comput. Appl. 28(S-1): 393-406 (2017) - 2016
- [j4]Danial Jahed Armaghani, Edy Tonnizam Mohamad, Mohsen Hajihassani
Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods. Eng. Comput. 32(1): 109-121 (2016) - [j3]Danial Jahed Armaghani, Mahdi Hasanipanah
A combination of the ICA-ANN model to predict air-overpressure resulting from blasting. Eng. Comput. 32(1): 155-171 (2016) - [j2]Danial Jahed Armaghani, Edy Tonnizam Mohamad, Mohsen Hajihassani
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances. Eng. Comput. 32(2): 189-206 (2016) - [j1]Maybelle Liang, Edy Tonnizam Mohamad, Roohollah Shirani Faradonbeh
Rock strength assessment based on regression tree technique. Eng. Comput. 32(2): 343-354 (2016)
Coauthor Index
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