Search Results - "Gene Expression Programming"

Prediction model for compressive arch action capacity of RC frame structures under column removal scenario using gene expression programming by Azim, Iftikhar, Yang, Jian, Javed, Muhammad Faisal, Iqbal, Muhammad Farjad, Mahmood, Zafar, Wang, Feiliang, Liu, Qing-feng

“…) frame buildings at small deformations. In this study, the distinguishing features of Gene Expression Programming (GEP…”
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Anemia prediction using gene expression programming (GEP) and explainable artificial intelligence approaches by Abdullah, Abdullah, Saddiqi, Hasnain Ahmad, Qasim, Mahnoor, Khitab, Arooba, Khan, Majid, Ahmad, Shakeel

“… This research investigates the application of Gene Expression Programming (GEP), a proven technique in machine learning (ML…”
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Feature selection approach for evolving reactive scheduling policies for dynamic job shop scheduling problem using gene expression programming by Shady, Salama, Kaihara, Toshiya, Fujii, Nobutada, Kokuryo, Daisuke

“… only. Therefore, the aim of this study is to propose a feature selection approach for the Gene Expression Programming (GEP…”
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Surface EMG based handgrip force predictions using gene expression programming by Yang, Zhongliang, Chen, Yumiao, Tang, Zhichuan, Wang, Jianping

“…) for hand gesture recognition. A robust variant of genetic programming, namely Gene Expression Programming (GEP…”
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Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming by Khawaja, Laiba, Javed, Muhammad Faisal, Asif, Usama, Alkhattabi, Loai, Ahmed, Bilal, Alabduljabbar, Hisham

“…, and moisture content were among the important variables considered for determining the MR. Subsequently, this study employs ensemble machine learning methodologies, specifically gene expression programming (GEP…”
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Consideration of Non-Locality for Gene Expression Programming: Modeling the Transition to Turbulence in the Boundary Layer by Bleh, Alexander, Morsbach, Christian

“… (Comput. Methods Appl. Mech. Eng. 384:113927, 2021). Nevertheless, approaches featuring Neural Networks are not easily available for Gene Expression Programming…”
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A Highly Efficient Gene Expression Programming (GEP) Model for Auxiliary Diagnosis of Small Cell Lung Cancer by Yu, Zhuang, Lu, Haijiao, Si, Hongzong, Liu, Shihai, Li, Xianchao, Gao, Caihong, Cui, Lianhua, Li, Chuan, Yang, Xue, Yao, Xiaojun

“…) patients and 155 non-small cell lung cancer and 155 normal controls. A gene expression programming (GEP…”
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An efficient model for auxiliary diagnosis of hepatocellular carcinoma based on gene expression programming by Zhang, Li, Chen, Jiasheng, Gao, Chunming, Liu, Chuanmiao, Xu, Kuihua

“… The aim of this study was to create the prediction model to diagnose HCC based on gene expression programming (GEP…”
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Predicting the Viscosity of Petroleum Emulsions Using Gene Expression Programming by Umar, Abubakar A, Saaid, Ismail M, Sulaimon, Aliyu A, Pilus, Rashidah M

“…; notwithstanding, this subject…”
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Predicting the Viscosity of Petroleum Emulsions Using Gene Expression Programming (GEP) and Response Surface Methodology (RSM) by Pilus, Rashidah M., Sulaimon, Aliyu A., Saaid, Ismail M., Umar, Abubakar A.

“…; notwithstanding, this subject…”
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Surface EMG-based Sketching Recognition Using Two Analysis Windows and Gene Expression Programming by Yang, Zhongliang, Chen, Yumiao

“… After reducing data dimensionality using principal component analysis, the shapes were classified using Gene Expression Programming (GEP…”
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Prediction of Lung Cancer Based on Serum Biomarkers by Gene Expression Programming Methods by Yu, Zhuang, Chen, Xiao-Zheng, Cui, Lian-Hua, Si, Hong-Zong, Lu, Hai-Jiao, Liu, Shi-Hai

“…) by setting up optimal biomarker joint models with a powerful computerized tool - gene expression programming (GEP…”
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Compressive strength of waste-derived cementitious composites using machine learning by Tian, Qiong, Lu, Yijun, Zhou, Ji, Song, Shutong, Yang, Liming, Cheng, Tao, Huang, Jiandong

“…) of MC-based concrete that contained FA and RHA were built. Gene expression programming (GEP…”
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An Intelligent Model to Predict Breaking Strength of Rotor Spun Yarns Using Gene Expression Programming by Moghassem, Abdolrasool, Fallahpour, Alireza, Shanbeh, Mohsen

“… Hence, Gene Expression Programming (GEP) is presented here as an intelligent algorithm to predict breaking strength of rotor spun yarns based on draw…”
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A realizable and scale-consistent data-driven non-linear eddy viscosity modeling framework for arbitrary regression algorithms by Mandler, Hannes, Weigand, Bernhard

“… Ordinary curve fitting, neural networks and gene expression programming are considered as examples…”
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Predictive models of behavior and capacity of FRP reinforced concrete columns by Momani, Yazan, Tarawneh, Ahmad, Alawadi, Roaa, Taqieddin, Ziad, Jweihan, Yazeed, Saleh, Eman

“… In addition, the methodologies adopted for including the effect of column slenderness remain a subject of debate, as no solid conclusions are withdrawn…”
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A Highly Efficient Gene Expression Programming (GEP) Model for Auxiliary Diagnosis of Small Cell Lung Cancer: e0125517 by Yu, Zhuang, Lu, Haijiao, Si, Hongzong, Liu, Shihai, Li, Xianchao, Gao, Caihong, Cui, Lianhua, Li, Chuan, Yang, Xue, Yao, Xiaojun

“…) patients and 155 non-small cell lung cancer and 155 normal controls. A gene expression programming (GEP…”
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Fuzzy inference systems for discretionary lane changing decisions: Model improvements and research challenges by Yahyazadeh Rineh, Ehsan, Cheu, Ruey Long

“…The lane changing decision model (LCDM) is a critical component in semi- and fully-automated driving systems. Recent research has found that the fuzzy…”
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Extracting New Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling with Limited Buffer Spaces by Teymourifar, Aydin, Ozturk, Gurkan, Ozturk, Zehra Kamisli, Bahadir, Ozan

“… Benchmarks are selected from the literature, with some modifications. Gene expression programming combined with a simulation model is used…”
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A Novel Comprehensive Evaluation Method for Estimating the Bank Profile Shape and Dimensions of Stable Channels Using the Maximum Entropy Principle by Bonakdari, Hossein, Gholami, Azadeh, Mosavi, Amir, Kazemian-Kale-Kale, Amin, Ebtehaj, Isa, Azimi, Amir Hossein

“… The entropy of St is subject to two constraint conditions, and the principle of maximum entropy must be applied to find the least biased probability distribution…”
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