Search Results - "population-based vortex search algorithm"

Innovative Machine Learning Approach for Forecasting Student Performance in Degree Programs: A Case Study Using Naive Bayes Classification by Nana Wang

“…It has become one of the prime focus areas in the academic world, starting from schools to higher educational institutions, that deal with student academic…”
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Forecasting Residential Building Heating Load With An Innovative Gaussian Process Regression Method by Xiaoyu Sun

“…Effectively controlling the heating load (HL) in residential buildings is a vital component of energy conservation and sustainability. This abstract presents a…”
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Applying Support Vector Regression-Based Hybrid Models For Modeling The Gasification Process by Baofu Gong

“…Modeling the gasification process through machine learning (ML) involves predicting the behavior and performance of gasification systems. Support Vector…”
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Predictive Modeling of Student Performance Through Classification with Gaussian Process Models by ZHANG, Xiaowei, YUE, Junlin

“…In the contemporary educational landscape, proactively engaging in predictive assessment has become indispensable for academic institutions. This strategic…”
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Utilizing meta-heuristic algorithms for load-bearing capacity prediction in piles with support vector regression by Xu, Mengran, Zhu, Zhihui

“…When designing foundations and using geotechnical engineering, pile bearing capacity (Pu) is essential, indicating the maximum load piles can sustain without…”
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Having Deep Investigation on Predicting Unconfined Compressive Strength by Decision Tree in Hybrid and Individual Approaches by Zhang, Qingqing, Wang, Lei, Gu, Hongmei

“…In the field of geotechnical engineering Rocks' unconfined compressive strength (UCS) is an important variable that plays a significant part in civil…”
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Prediction of pile settlement by using hybrid random forest models by Yu, Shengnan

“…Pile settlement, a critical aspect of geotechnical engineering, refers to the vertical movement or deformation of piles, which are structural elements used to…”
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Gasification process modelling and optimization using Gaussian process regression and hybrid population-based algorithms by Si, Hongying

“…Gasification holds a central role in the thermochemical conversion of diverse carbon-rich feedstocks into valuable syngas, making a substantial contribution to…”
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Machine learning-based prediction of compressive strength and slump in high-performance concrete by Zhang, Ruikun, Meng, Chenyu

“…The design of a concrete structure heavily depends on one of the most significant performance parameters: concrete strength. Reliable strength prediction can…”
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Anticipating Properties of Ultra-High-Performance Concrete through the K-Nearest Neighbor Algorithm by Yonghoon Won

“…The high magnitude of compressive strength (CS) in ultra-high-performance concrete (UHPC) is strongly related to the specific characteristics, proportions, and…”
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