Suchergebnisse - "Multi-expression programming"

Sustainable utilization of foundry waste: Forecasting mechanical properties of foundry sand based concrete using multi-expression programming von Iqbal, Muhammad Farjad, Javed, Muhammad Faisal, Rauf, Momina, Azim, Iftikhar, Ashraf, Muhammad, Yang, Jian, Liu, Qing-feng

“… Waste Foundry sand (WFS), a major solid waste from metal casting industry, is posing a significant environmental threat owing to its disposal to landfills. In …”
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Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles von Ahmed, Hemn Unis, Mohammed, Ahmed S., Faraj, Rabar H., Abdalla, Aso A., Qaidi, Shaker M. A., Sor, Nadhim Hamah, Mohammed, Azad A.

“… The use of nano-materials to improve the engineering properties of different types of concrete composites including geopolymer concrete (GPC) has recently …”
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Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete von Chu, Hong-Hu, Khan, Mohsin Ali, Javed, Muhammad, Zafar, Adeel, Ijaz Khan, M., Alabduljabbar, Hisham, Qayyum, Sumaira

“… Annually, the thermal coal industries produce billion tons of fly-ash (FA) as a waste by-product. Which has been proficiently used for the manufacture of FA …”
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Development of predictive models for sustainable concrete via genetic programming-based algorithms von Chen, Lingling, Wang, Zhiyuan, Khan, Aftab Ahmad, Khan, Majid, Javed, Muhammad Faisal, Alaskar, Abdulaziz, Eldin, Sayed M.

“… Waste foundry sand (WFS), a by-product of the casting industry, is a potential material that may be employed as a substitute for fine aggregate in concrete. In …”
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Predictive modelling of compression strength of waste GP/FA blended expansive soils using multi-expression programming von Usama, Muhammad, Gardezi, Hasnain, Jalal, Fazal E., Ali Rehman, Muhammad, Javed, Nida, Janjua, Shahmir, Iqbal, Mudassir

“… [Display omitted] •High performance paradigm for predicting UCS of stabilized expansive soil.•Waste glass powder (WGP) and Fly Ash (FA) were used for …”
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Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms von Jalal, Fazal E., Xu, Yongfu, Iqbal, Mudassir, Jamhiri, Babak, Javed, Muhammad Faisal

“… •Development of new empirical GP-based prediction models to evaluate compaction parameters of expansive soils.•Performance comparison of gene expression …”
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Artificial intelligence-based optimized models for predicting the slump and compressive strength of sustainable alkali-derived concrete von Zou, Baoping, Wang, Yanbing, Nasir Amin, Muhammad, Iftikhar, Bawar, Khan, Kaffayatullah, Ali, Mujahid, Althoey, Fadi

“… •AI tools (GEP and MEP) were used for developing prediction models for AAC properties.•The sensitivity analysis of the database showed the relevance of input …”
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Multi-expression programming based prediction of the seismic capacity of reinforced concrete rectangular columns von Asghar, Raheel, Javed, Muhammad Faisal, Saqib, Muhammad, Alaskar, Abdulaziz, Ali, Mujahid, Nawaz, R.

“… This article presents an innovative artificial intelligence based multi-expression programming approach to predict the seismic capacity of reinforced concrete …”
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Multi-expression programming for enhancing MHD heat transfer in a nanofluid-filled enclosure with heat generation and viscous dissipation von Ullah, Naeem, Bibi, Aneela, Lu, Dianchen

“… Efficient thermal management is a critical challenge in various engineering configuration where overheating affects performance, such as electronics, …”
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Proposition of an equivalent reduced thickness for composite steel plate shear walls containing an opening von Meghdadian, Mohammad, Gharaei-Moghaddam, Nima, Arabshahi, Alireza, Mahdavi, Navid, Ghalehnovi, Mansour

“… The composite steel plate shear wall (CSPSW) is a relatively new structural system which attracted many researchers in recent years. The main idea for …”
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Effect of magnetized mixing water on the fresh and hardened state properties of steel fibre reinforced self-compacting concrete von Ghorbani, Saeid, Sharifi, Sohrab, Rokhsarpour, Hamed, Shoja, Sara, Gholizadeh, Mostafa, Rahmatabad, Mohammad Ali Dashti, de Brito, Jorge

“… •Using magnetized water leads to a higher slump flow and a lower viscosity of the SCC mixes;•Magnetized water significantly improved the mechanical properties …”
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Evaluating the impact of data preprocessing to develop a robust MEP-based forecasting model for building integrated with PCM von Nazir, Kashif, Memon, Shazim Ali

“… Data quality is a crucial aspect to accurately predict the energy use of buildings utilizing machine learning methods. Data preprocessing can ensure data …”
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Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming von Khawaja, Laiba, Javed, Muhammad Faisal, Asif, Usama, Alkhattabi, Loai, Ahmed, Bilal, Alabduljabbar, Hisham

“… Accurate prediction of resilient modulus (MR) in compacted subgrade soil is crucial for planning secure and environmentally friendly flexible pavement systems …”
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A novel framework for developing a machine learning-based forecasting model using multi-stage sensitivity analysis to predict the energy consumption of PCM-integrated building von Nazir, Kashif, Memon, Shazim Ali, Saurbayeva, Assemgul

“… Accurate machine learning (ML) predictions for the early stages of the building design are crucial to construct energy-efficient buildings utilizing limited …”
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Unconfined compressive strength of bio-cemented sand: state-of-the-art review and MEP-MC-based model development von Wang, Han-Lin, Yin, Zhen-Yu

“… As a clean and sustainable method, the microbially induced calcite precipitation (MICP) approach has been widely used for reinforcing weak soils. This study …”
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Investigating the feasibility of genetic algorithms in predicting the properties of eco-friendly alkali-based concrete von Jin, Conghe, Qian, Yongjiu, Ayub Khan, Suleman, Ahmad, Waqas, Althoey, Fadi, Saad Alotaibi, Badr, Awad Abuhussain, Mohammed

“… •GEP and MEP models were optimized for predicting the rheological properties of AAC.•Static and dynamic yield stress and plastic viscosity were chosen as model …”
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Enhancing compressive strength prediction of sustainable concrete using MEP and GEP models with SHAP-based interpretation von George, Sujin, Hussain, Syed Aamir, Alamiery, Ahmed A., Pathan, Mohammad Gulfam, Sabihuddin, Syed, Thakur, Nisha, Majdi, Ali, Smerat, Aseel

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Consolidation assessment using Multi Expression Programming von Sharifi, Sohrab, Abrishami, Saeed, Gandomi, Amir H.

“… In this study, new approximate solutions for consolidation have been developed in order to hasten the calculations. These solutions include two groups of …”
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Performance evaluation of concrete made with plastic waste using multi-expression programming von Asif, Usama, Javed, Muhammad Faisal, Alyami, Mana, Hammad, Ahmed WA

“… The immense production of plastic waste due to its non-biodegradable nature has become a major issue for the world. Several researchers have recently tried to …”
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Compressive strength of waste-derived cementitious composites using machine learning von Tian, Qiong, Lu, Yijun, Zhou, Ji, Song, Shutong, Yang, Liming, Cheng, Tao, Huang, Jiandong

“… Marble cement (MC) is a new binding material for concrete, and the strength assessment of the resulting materials is the subject of this investigation. MC was …”
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