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Muhammad Faisal Javed

Showing results (1-10 of 58) with videos related to

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Scientific Reports|June 6, 2026
Machine learning-based modeling for precise runoff forecasts in hydrological systemsAli Aldrees, Bilal Siddiq, Muhammad Faisal Javed
Environmental Science and Pollution Research International|November 12, 2020
Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniquesMuhammad Izhar Shah, Muhammad Faisal Javed, Taher Abunama
Scientific Reports|November 26, 2025
Explainable machine learning and ensemble models for predicting fresh properties of self consolidating concreteMaaz Khan, Muhammad Faisal Javed, Hisham Alabduljabbar, et al.
Heliyon|February 5, 2024
Examining the benefits, challenges, and drivers of open user innovation in small and medium-sized enterprises operating in low R&D industriesMana Alyami, Muhammad Faisal Javed, Ahmed Wa Hammad, et al.
Scientific Reports|April 10, 2024
Forecasting the strength of preplaced aggregate concrete using interpretable machine learning approachesMuhammad Faisal Javed, Muhammad Fawad, Rida Lodhi, et al.
Heliyon|April 24, 2024
A CMIP6 multi-model based analysis of potential climate change effects on watershed runoff using SWAT model: A case study of kunhar river basin, PakistanAbdul Waheed, Muhammad Hidayat Jamal, Muhammad Faisal Javed, et al.
Scientific Reports|May 2, 2024
Numerical and artificial intelligence based investigation on the development of design guidelines for pultruded GFRP RHS profiles subjected to web cripplingRaheel Asghar, Muhammad Faisal Javed, Mujahid Ali, et al.
Scientific Reports|November 26, 2024
Experimental analysis and gene expression programming optimization of sustainable concrete containing mineral fillersAyesha Rauf, Usama Asif, Kennedy Onyelowe, et al.
Materials (Basel, Switzerland)|March 3, 2021
Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer ConcreteMohsin Ali Khan, Adeel Zafar, Arslan Akbar, et al.
Journal of Environmental Management|April 8, 2021
Predictive modeling of swell-strength of expansive soils using artificial intelligence approaches: ANN, ANFIS and GEPFazal E Jalal, Yongfu Xu, Mudassir Iqbal, et al.
Pageof 6

Showing results (1-10 of 58) with videos related to

Sort By:
Pageof 6
Scientific Reports|June 6, 2026
Machine learning-based modeling for precise runoff forecasts in hydrological systemsAli Aldrees, Bilal Siddiq, Muhammad Faisal Javed
Environmental Science and Pollution Research International|November 12, 2020
Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniquesMuhammad Izhar Shah, Muhammad Faisal Javed, Taher Abunama
Scientific Reports|November 26, 2025
Explainable machine learning and ensemble models for predicting fresh properties of self consolidating concreteMaaz Khan, Muhammad Faisal Javed, Hisham Alabduljabbar, et al.
Heliyon|February 5, 2024
Examining the benefits, challenges, and drivers of open user innovation in small and medium-sized enterprises operating in low R&D industriesMana Alyami, Muhammad Faisal Javed, Ahmed Wa Hammad, et al.
Scientific Reports|April 10, 2024
Forecasting the strength of preplaced aggregate concrete using interpretable machine learning approachesMuhammad Faisal Javed, Muhammad Fawad, Rida Lodhi, et al.
Heliyon|April 24, 2024
A CMIP6 multi-model based analysis of potential climate change effects on watershed runoff using SWAT model: A case study of kunhar river basin, PakistanAbdul Waheed, Muhammad Hidayat Jamal, Muhammad Faisal Javed, et al.
Scientific Reports|May 2, 2024
Numerical and artificial intelligence based investigation on the development of design guidelines for pultruded GFRP RHS profiles subjected to web cripplingRaheel Asghar, Muhammad Faisal Javed, Mujahid Ali, et al.
Scientific Reports|November 26, 2024
Experimental analysis and gene expression programming optimization of sustainable concrete containing mineral fillersAyesha Rauf, Usama Asif, Kennedy Onyelowe, et al.
Materials (Basel, Switzerland)|March 3, 2021
Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer ConcreteMohsin Ali Khan, Adeel Zafar, Arslan Akbar, et al.
Journal of Environmental Management|April 8, 2021
Predictive modeling of swell-strength of expansive soils using artificial intelligence approaches: ANN, ANFIS and GEPFazal E Jalal, Yongfu Xu, Mudassir Iqbal, et al.
Pageof 6