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Muhammad Faisal Javed

Showing results (11-20 of 58) with videos related to

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Scientific Reports|June 25, 2024
Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sandMuhammad Faisal Javed, Majid Khan, Muhammad Fawad, et al.
Scientific Reports|December 23, 2025
Forecasting the rheological properties of alkali-activated concrete utilizing gene expression programmingHisham Alabduljabbar, Irfan Ullah, Muhammad Faisal Javed, et al.
Nanomaterials (Basel, Switzerland)|October 24, 2020
A Review of Microscale, Rheological, Mechanical, Thermoelectrical and Piezoresistive Properties of Graphene Based Cement CompositeSardar Kashif Ur Rehman, Sabina Kumarova, Shazim Ali Memon, et al.
Heliyon|November 29, 2023
Bio-inspired based meta-heuristic approach for predicting the strength of fiber-reinforced based strain hardening cementitious compositesYasar Khan, Adeel Zafar, Muhammad Faisal Rehman, et al.
Plos One|October 6, 2017
Numerical investigation of the vortex-induced vibration of an elastically mounted circular cylinder at high Reynolds number (Re = 104) and low mass ratio using the RANS codeNiaz Bahadur Khan, Zainah Ibrahim, Linh Tuan The Nguyen, et al.
Heliyon|April 9, 2025
Retraction notice to "Bio-inspired based meta-heuristic approach for predicting the strength of fiber-reinforced based strain hardening cementitious composites" [Heliyon 9 (2023) e21601]Yasar Khan, Adeel Zafar, Muhammad Faisal Rehman, et al.
Scientific Reports|November 18, 2025
Estimating the surface chloride concentration of marine concrete utilizing advanced hybrid machine learning modelsIrfan Ullah, Hisham Alabduljabbar, Muhammad Faisal Javed, et al.
Scientific Reports|May 9, 2026
Compressive strength of mortar incorporating recycled nonmetallic printed circuit board waste: experimental and interpretable machine learning analysisAsif Shahzad, Sardar Kashif-Ur-Rehman, Muhammad Faisal Javed, et al.
Scientific Reports|July 11, 2024
Publisher Correction: Evaluation of machine learning models for predicting TiO<sub>2</sub> photocatalytic degradation of air contaminantsMuhammad Faisal Javed, Muhammad Zubair Shahab, Usama Asif, et al.
Scientific Reports|June 13, 2024
Evaluation of machine learning models for predicting TiO<sub>2</sub> photocatalytic degradation of air contaminantsMuhammad Faisal Javed, Muhammad Zubair Shahab, Usama Asif, et al.
Pageof 6

Showing results (11-20 of 58) with videos related to

Sort By:
Pageof 6
Scientific Reports|June 25, 2024
Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sandMuhammad Faisal Javed, Majid Khan, Muhammad Fawad, et al.
Scientific Reports|December 23, 2025
Forecasting the rheological properties of alkali-activated concrete utilizing gene expression programmingHisham Alabduljabbar, Irfan Ullah, Muhammad Faisal Javed, et al.
Nanomaterials (Basel, Switzerland)|October 24, 2020
A Review of Microscale, Rheological, Mechanical, Thermoelectrical and Piezoresistive Properties of Graphene Based Cement CompositeSardar Kashif Ur Rehman, Sabina Kumarova, Shazim Ali Memon, et al.
Heliyon|November 29, 2023
Bio-inspired based meta-heuristic approach for predicting the strength of fiber-reinforced based strain hardening cementitious compositesYasar Khan, Adeel Zafar, Muhammad Faisal Rehman, et al.
Plos One|October 6, 2017
Numerical investigation of the vortex-induced vibration of an elastically mounted circular cylinder at high Reynolds number (Re = 104) and low mass ratio using the RANS codeNiaz Bahadur Khan, Zainah Ibrahim, Linh Tuan The Nguyen, et al.
Heliyon|April 9, 2025
Retraction notice to "Bio-inspired based meta-heuristic approach for predicting the strength of fiber-reinforced based strain hardening cementitious composites" [Heliyon 9 (2023) e21601]Yasar Khan, Adeel Zafar, Muhammad Faisal Rehman, et al.
Scientific Reports|November 18, 2025
Estimating the surface chloride concentration of marine concrete utilizing advanced hybrid machine learning modelsIrfan Ullah, Hisham Alabduljabbar, Muhammad Faisal Javed, et al.
Scientific Reports|May 9, 2026
Compressive strength of mortar incorporating recycled nonmetallic printed circuit board waste: experimental and interpretable machine learning analysisAsif Shahzad, Sardar Kashif-Ur-Rehman, Muhammad Faisal Javed, et al.
Scientific Reports|July 11, 2024
Publisher Correction: Evaluation of machine learning models for predicting TiO<sub>2</sub> photocatalytic degradation of air contaminantsMuhammad Faisal Javed, Muhammad Zubair Shahab, Usama Asif, et al.
Scientific Reports|June 13, 2024
Evaluation of machine learning models for predicting TiO<sub>2</sub> photocatalytic degradation of air contaminantsMuhammad Faisal Javed, Muhammad Zubair Shahab, Usama Asif, et al.
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