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Performance Prediction Using Classification
منشور في 2019"…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …"
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
منشور في 2024احصل على النص الكامل
doctoralThesis -
4
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Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Researchers have focused on using historical charging data for predictions of behavior such as departure time and energy needs. …"
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Predicting Mobile Game Success Using Data Analytics
منشور في 2017"…This study addresses these challenges through data driven research of the mobile gaming application market, mobile gaming application features, user acquisition and retention trends, and monetization strategies using the CRISP-DM model for data mining in order to prove a successful method for predictions of mobile game application success. …"
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Contrasting and Predicting Social Media’s Role in Addictive Use and Well-Being
منشور في 2025"…Competence in using social media significantly predicted both PSMU and SM-WB in the Arab sample. …"
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Predicting Malignant Potential of Gastrointestinal Stromal Tumors Using Endoscopic Ultrasound
منشور في 2009"…Conclusions EUS characteristics of tumor size, extraluminal border, depth, and heterogeneity can be used to predict malignant potential of GISTs.…"
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احصل على النص الكامل
احصل على النص الكامل
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Transfer learning for genotype–phenotype prediction using deep learning models
منشور في 2022"…Background For some understudied populations, genotype data is minimal for genotype-phenotype prediction. However, we can use the data of some other large populations to learn about the disease-causing SNPs and use that knowledge for the genotype-phenotype prediction of small populations. …"
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Development of Seed Variables Prediction Models for Use in Dynamic Backcalculation of FWD Data
منشور في 2022"…This research project aims-to-develop models through classification analysis to predict the seed variables. This involves (1) calculating theoretical surface deflections through a finite element model that simulates different pavement structures and properties, (2) calculating FWD parameters and indices for each structure and (3) using those parameters to build Random Forest models that predict the seed variables with low OOB-error and high accuracy. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
12
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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
منشور في 2020"…Experimental data was used to develop the appropriate architecture for the AAN using iterative steps of training and testing. …"
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Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai
منشور في 2014"…The experiments are carried out on each subset by first using the regular structured numerical features of the real - iii - estate property in predicting the price using linear regression modeling. …"
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Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar
منشور في 2019"…Two different bias calculation techniques were used to evaluate the instances of biased prediction, which can be utilized to reduce bias to improve accuracy. …"
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Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
منشور في 2023"…These results suggest that the use of machine learning models can significantly improve the accuracy of predicting the viscosity of PAO-hBN nanofluids. …"
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Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
منشور في 2022"…Moreover, we have used eight classical machine learning techniques along with feature ranking techniques to identify the best feature combinations for sex prediction. …"
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Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions
منشور في 2023"…An empirical equation is developed based on a statistically significant quadratic model to produce optimized biochar yield with high prediction accuracy. …"
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Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis
منشور في 2021"…This study devises a framework to predict HbA1c levels 2-3 months in advance by using blood glucose data collected through continuous glucose monitoring (CGM) sensors and leveraging advanced feature extraction and machine learning techniques. …"
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