Search Results - "Ahmad, Feezan"

Supervised Learning Methods for Modeling Concrete Compressive Strength Prediction at High Temperature by Ahmad, Mahmood, Hu, Ji-Lei, Ahmad, Feezan, Tang, Xiao-Wei, Amjad, Maaz, Iqbal, Muhammad Junaid, Asim, Muhammad, Farooq, Asim

“…Supervised learning algorithms are a recent trend for the prediction of mechanical properties of concrete. This paper presents AdaBoost, random forest (RF),…”
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Interpretive Structural Modeling and MICMAC Analysis for Identifying and Benchmarking Significant Factors of Seismic Soil Liquefaction by Ahmad, Mahmood, Tang, Xiao-Wei, Qiu, Jiang-Nan, Ahmad, Feezan

“…Seismic soil liquefaction is considered as one of the most complex geotechnical earthquake engineering problems owing to the uncertainty and complexity…”
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Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques by Ahmad, Mahmood, Kamiński, Paweł, Olczak, Piotr, Alam, Muhammad, Iqbal, Muhammad Junaid, Ahmad, Feezan, Sasui, Sasui, Khan, Beenish Jehan

“…Supervised machine learning and its algorithms are a developing trend in the prediction of rockfill material (RFM) mechanical properties. This study…”
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Prediction of slope stability using Tree Augmented Naive-Bayes classifier: modeling and performance evaluation by Ahmad, Feezan, Tang, Xiao-Wei, Qiu, Jiang-Nan, Wróblewski, Piotr, Ahmad, Mahmood, Jamil, Irfan

“…Predicting slope stability is critical for identifying terrain that is prone to landslides and mitigating the damage caused by landslides. The relationships…”
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Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential by AHMAD, Mahmood, TANG, Xiao-Wei, QIU, Jiang-Nan, AHMAD, Feezan, GU, Wen-Jing

“…This study investigates the performance of four machine learning (ML) algorithms to evaluate the earthquake-induced liquefaction potential of soil based on the…”
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Evaluating Seismic Soil Liquefaction Potential Using Bayesian Belief Network and C4.5 Decision Tree Approaches by Ahmad, Mahmood, Tang, Xiao-Wei, Qiu, Jiang-Nan, Ahmad, Feezan

“…Liquefaction is considered a damaging phenomenon of earthquakes and a major cause of concern in civil engineering. Therefore, its predictory assessment is an…”
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Prediction of Ultimate Bearing Capacity of Shallow Foundations on Cohesionless Soils: A Gaussian Process Regression Approach by Ahmad, Mahmood, Ahmad, Feezan, Wróblewski, Piotr, Al-Mansob, Ramez A., Olczak, Piotr, Kamiński, Paweł, Safdar, Muhammad, Rai, Partab

“…This study examines the potential of the soft computing technique—namely, Gaussian process regression (GPR), to predict the ultimate bearing capacity (UBC) of…”
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A scientometrics review of conventional and soft computing methods in the slope stability analysis by Ahmad, Feezan, Tang, Xiao-Wei, Ahmad, Mahmood, Najeh, Taoufik, Gamil, Yaser

“…Predicting slope stability is important for preventing and mitigating landslide disasters. This paper examines the existing approaches for analyzing slope…”
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Rockburst Hazard Prediction in Underground Projects Using Two Intelligent Classification Techniques: A Comparative Study by Ahmad, Mahmood, Hu, Ji-Lei, Hadzima-Nyarko, Marijana, Ahmad, Feezan, Tang, Xiao-Wei, Rahman, Zia Ur, Nawaz, Ahsan, Abrar, Muhammad

“…Rockburst is a complex phenomenon of dynamic instability in the underground excavation of rock. Owing to the complex and unclear rockburst mechanism, it is…”
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Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier by Ahmad, Mahmood, Katman, Herda Yati, Al-Mansob, Ramez A., Ahmad, Feezan, Safdar, Muhammad, Alguno, Arnold C.

“…Rockburst phenomenon is the primary cause of many fatalities and accidents during deep underground projects constructions. As a result, its prediction at the…”
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A hybrid approach for evaluating CPT-based seismic soil liquefaction potential using Bayesian belief networks by Mahmood, Ahmad, Tang, Xiao-wei, Qiu, Jiang-nan, Gu, Wen-jing, Feezan, Ahmad

“…Discernment of seismic soil liquefaction is a complex and non-linear procedure that is affected by diversified factors of uncertainties and complexity. The…”
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Stability risk assessment of slopes using logistic model tree based on updated case histories by Ahmad, Feezan, Tang, Xiao-Wei, Ahmad, Mahmood, González-Lezcano, Roberto Alonso, Majdi, Ali, Arbili, Mohamed Moafak

“…A new logistic model tree (LMT) model is developed to predict slope stability status based on an updated database including 627 slope stability cases with…”
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Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks by AHMAD, Mahmood, TANG, Xiao-Wei, QIU, Jiang-Nan, AHMAD, Feezan

“…Liquefaction-induced lateral displacement is responsible for considerable damage to engineered structures during major earthquakes. Therefore, an accurate…”
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Predicting the Pillar Stability of Underground Mines with Random Trees and C4.5 Decision Trees by Ahmad, Mahmood, Al-Shayea, Naser A., Tang, Xiao-Wei, Jamal, Arshad, M. Al-Ahmadi, Hasan, Ahmad, Feezan

“…Predicting pillar stability in underground mines is a critical problem because the instability of the pillar can cause large-scale collapse hazards. To predict…”
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A step forward towards a comprehensive framework for assessing liquefaction land damage vulnerability: Exploration from historical data by Ahmad, Mahmood, Tang, Xiao-Wei, Qiu, Jiang-Nan, Ahmad, Feezan, Gu, Wen-Jing

“…The unprecedented liquefaction-related land damage during earthquakes has highlighted the need to develop a model that better interprets the liquefaction land…”
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Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network by Ahmad, Mahmood, Ahmad, Feezan, Huang, Jiandong, Iqbal, Muhammad Junaid, Safdar, Muhammad, Pirhadi, Nima

“…This paper proposes a probabilistic graphical model that integrates interpretive structural modeling (ISM) and Bayesian belief network (BBN) approaches to…”
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Assessing Potable Water Quality and Identifying Areas of Waterborne Diarrheal and Fluorosis Health Risks Using Spatial Interpolation in Peshawar, Pakistan by Ahmad, Mahmood, Jamal, Arshad, Tang, Xiao-Wei, Sughaiyer, Mohammed A. Al, Ahmadi, Hassan M. Al, Ahmad, Feezan

“…Waterborne diseases have become one of the major public health concerns worldwide. This study is aimed to investigate and develop spatial distribution mapping…”
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Predicting Subgrade Resistance Value of Hydrated Lime-Activated Rice Husk Ash-Treated Expansive Soil: A Comparison between M5P, Support Vector Machine, and Gaussian Process Regression Algorithms by Ahmad, Mahmood, Alsulami, Badr, Al-Mansob, Ramez, Ibrahim, Saerahany, Keawsawasvong, Suraparb, Majdi, Ali, Ahmad, Feezan

“…Resistance value (R-value) is one of the basic subgrade stiffness characterizations that express a material’s resistance to deformation. In this paper,…”
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Unconfined compressive strength prediction of stabilized expansive clay soil using machine learning techniques by Ahmad, Mahmood, Al-Mansob, Ramez A., Ramli, Ahmad Bukhari Bin, Ahmad, Feezan, Khan, Beenish Jehan

“…This paper evaluates the potential of machine learning techniques, namely, Gaussian Process Regression (GPR) and Support Vector Machine (SVM), for the…”
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LLDV-a Comprehensive Framework for Assessing the Effects of Liquefaction Land Damage Potential by Ahmad, Mahmood, Tang, Xiaowei, Qiu, Jiangnan, Ahmad, Feezan, Gu, Wenjing

“…The unprecedented liquefaction related land damage during earthquake has highlighted the need to develop a model that better interpret the liquefaction land…”
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