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Muhammad Faisal Javed

Analysis of the relationship among land surface temperature (LST), land use land cover (LULC), and normalized difference vegetation index (NDVI) with topographic elements in the lower Himalayan region
2023 · Waheed Ullah, Khalid Ahmad, et al. · Heliyon · 224
Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms
2023 · Muhammad Nasir Amin, Bawar Iftikhar, et al. · Structures · 141
Promoting the green Construction: Scientometric review on the mechanical and structural performance of geopolymer concrete
2023 · Raheel Asghar, Mohsin Ali Khan, et al. · Construction and Building Materials · 115
Bim-based energy analysis and optimization using insight 360 (case study)
2022 · Ahmed M. Maglad, Moustafa Houda, et al. · Case Studies in Construction Materials · 115
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Prediction of water quality indexes with ensemble learners: Bagging and boosting
2022 · Ali Aldrees, Hamad Hassan Awan, et al. · Process Safety and Environmental Protection · 101
Machine learning based computational approach for crack width detection of self-healing concrete
2022 · Fadi Althoey, Muhammad Nasir Amin, et al. · Case Studies in Construction Materials · 89
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Development of predictive models for sustainable concrete via genetic programming-based algorithms
2023 · Lingling Chen, Zhiyuan Wang, et al. · Journal of Materials Research and Technology · 79
Predicting the mechanical properties of plastic concrete: An optimization method by using genetic programming and ensemble learners
2024 · Usama Asif, Muhammad Faisal Javed, et al. · Case Studies in Construction Materials · 76
Application of metaheuristic optimization algorithms in predicting the compressive strength of 3D-printed fiber-reinforced concrete
2023 · Mana Alyami, Majid Khan, et al. · Developments in the Built Environment · 71
BIM-based architectural analysis and optimization for construction 4.0 concept (a comparison)
2023 · Jie Zhang, Xuping Zhu, et al. · Ain Shams Engineering Journal · 68
Prediction of sustainable concrete utilizing rice husk ash (RHA) as supplementary cementitious material (SCM): Optimization and hyper-tuning
2023 · Muhammad Nasir Amin, Kaffayatullah Khan, et al. · Journal of Materials Research and Technology · 62
Evaluation of machine learning models for predicting TiO2 photocatalytic degradation of air contaminants
2024 · Muhammad Faisal Javed, Muhammad Zubair Shahab, et al. · Scientific Reports · 58
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Evolutionary and ensemble machine learning predictive models for evaluation of water quality
2023 · Ali Aldrees, Muhammad Faisal Javed, et al. · Journal of Hydrology Regional Studies · 57
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Fresh and hardened properties of waste rubber tires based concrete: a state art of review
2023 · Muhammad Sheraz, Qiang Yuan, et al. · SN Applied Sciences · 54
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Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand
2024 · Muhammad Faisal Javed, Majid Khan, et al. · Scientific Reports · 53
An evolutionary machine learning-based model to estimate the rheological parameters of fresh concrete
2023 · Sohaib Nazar, Jian Yang, et al. · Structures · 49
Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study
2022 · Fadi Althoey, Muhammad Naveed Akhter, et al. · Case Studies in Construction Materials · 48
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Formulation and characterization of cleaner one-part novel fly ash/lime-based alkali-activated material
2023 · Sohaib Nazar, Jian Yang, et al. · Journal of Materials Research and Technology · 47
Effect of coconut fiber on low-density polyethylene plastic-sand paver blocks
2022 · Salman Ahmad, Osama Dawood, et al. · Ain Shams Engineering Journal · 44
Crack width prediction of self-healing engineered cementitious composite using multi-expression programming
2023 · Fadi Althoey, Nadhim Hamah Sor, et al. · Journal of Materials Research and Technology · 35
Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature
2023 · Abdulaziz Alaskar, Ghasan Alfalah, et al. · Case Studies in Construction Materials · 34
Machine learning techniques for predicting the peak response of reinforced concrete beam subjected to impact loading
2024 · Ali Husnain, Munir Iqbal, et al. · Results in Engineering · 32
Metaheuristic optimization algorithms-based prediction modeling for titanium dioxide-Assisted photocatalytic degradation of air contaminants
2024 · Muhammad Faisal Javed, Bilal Siddiq, et al. · Results in Engineering · 32
Predicting penetration depth in ultra-high-performance concrete targets under ballistic impact: An interpretable machine learning approach augmented by deep generative adversarial network
2025 · Majid Khan, Muhammad Faisal Javed, et al. · Results in Engineering · 30
A machine learning-based genetic programming approach for the sustainable production of plastic sand paver blocks
2023 · Bawar Iftikhar, Sophia C. Alih, et al. · Journal of Materials Research and Technology · 29
Works count: 70
Citation count: 2,131
H-index: 26
I10-index: 43
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