日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Evaluating the predictive accuracy of supervised machine learning models to explore the mechanical strength of blast furnace slag incorporated concrete

评估监督式机器学习模型对掺入高炉矿渣混凝土力学强度的预测准确性

Sobuz, Md Habibur Rahman; Majumder, Simanta; Afrin, Mst Suraiya; Alzlfawi, Abdullah; Kabbo, Md Kawsarul Islam; Jameel, Mohammed; Abubakar, Sani Aliyu; Alharthai, Mohammad

Bond of ribbed and threaded steel reinforcement bars post-installed in concrete considering bonded length and adhesive type

考虑粘结长度和粘合剂类型,对后安装于混凝土中的带肋螺纹钢筋的粘结性能进行分析

Fayed, Sabry; Alkharisi, Mohammed K; Bayoumi, El-Said A; Hamoda, Ahmed; Sobuz, Md Habibur Rahman; Abubakar, Sani Aliyu; Ghalla, Mohamed

Refining a low-cost dermatophyte sampling method to enhance culture purity in resource-limited clinical settings in Bangladesh

在孟加拉国资源匮乏的临床环境中,改进一种低成本的皮肤癣菌采样方法以提高培养纯度。

Hasan, Mahmudul; Ahmed, Shinjon; Sabit, Ezaz Mahmud; Sobuz, Shariful Islam; Safi, Md Abdullah Al; Mahmud, Md Toslim; Ahmed, Firoz; Dhar, Sabuj Baran

Prediction and parametric modeling of compressive strength of waste marble dust concrete through machine learning and experimental analysis

利用机器学习和实验分析对废弃大理石粉混凝土的抗压强度进行预测和参数化建模

Alzlfawi, Abdullah; Sobuz, Md Habibur Rahman; Kawsarul, Md; Kabbo, Islam; Khatun, Mita; Abubakar, Sani Aliyu; Jameel, M; Miah, Md Jihad

Using Strain-Hardening Cement-based Composites (SHCC) reinforced with steel meshes for strengthening concrete bearing strength

采用钢筋网增强的应变硬化水泥基复合材料(SHCC)来提高混凝土的承载能力

Fayed, Sabry; Bazuhair, Rabeea W; Mlybari, Ehab A; Sobuz, Md Habibur Rahman; Abubakar, Sani Aliyu; Ghalla, Mohamed

Experimental assessment with data-driven machine learning-based prediction of compressive strength of waste natural fiber-reinforced sustainable concrete

基于数据驱动机器学习的废弃天然纤维增强可持续混凝土抗压强度预测实验评估

Paul, Prince; Kabbo, Md Kawsarul Islam; Gupta, Rajarshi Das; Rahman Sobuz, Md Habibur; Baral, Prosanjit; Jameel, Mohammed; Abubakar, Sani Aliyu

Predicting the mechanical performance of industrial waste incorporated sustainable concrete using hybrid machine learning modeling and parametric analyses

利用混合机器学习建模和参数分析预测掺入工业废料的可持续混凝土的力学性能

Uddin, Md Alhaz; Sobuz, Md Habibur Rahman; Kabbo, Md Kawsarul Islam; Tilak, Md Kanan Chowdhury; Lal, Ratan; Reza, Md Selim; Alsharari, Fahad; AbdelMongy, Mohamed; Abdullah, Masuk

Synergistic structural performance of green self-compacting concrete enhanced by nano-clay and waste glass powder

纳米粘土和废玻璃粉增强绿色自密实混凝土的协同结构性能

Hama, Sheelan Mahmoud; Al-Jumaily, Ibrahim A; Dahamm, Elaf Khalid; Ghalla, Mohamed; Sobuz, Md Habibur Rahman; Abubakar, Sani Aliyu; Wardeh, George; Zahid, M Z A M; Tawfik, Taher A; Zaki, W

Experimental investigation on fresh, hardened and durability characteristics of partially replaced E-waste plastic concrete: A sustainable concept with machine learning approaches

对部分替代电子垃圾塑料混凝土的新鲜、硬化和耐久性特性进行实验研究:一种基于机器学习的可持续概念

Islam, Md Hamidul; Prova, Zannatun Noor; Sobuz, Md Habibur Rahman; Nijum, Nusrat Jahan; Aditto, Fahim Shahriyar

Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review

人工智能和机器学习在建筑行业项目生命周期中的应用:一项综合综述

Datta, Shuvo Dip; Islam, Mobasshira; Rahman Sobuz, Md Habibur; Ahmed, Shakil; Kar, Moumita