Results 121 to 130 of about 10,458 (157)
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Prediction of pipe performance with stacking ensemble learning based approaches

Journal of Intelligent & Fuzzy Systems, 2018
American Water Works Association has estimated that, by 2050, the total cost of pipeline system management will exceed $1.7 trillion. Thus, it is important to assess the performance of water mains in order to optimize the rehabilitation process. Recently, the use of machine learning methods in pipeline condition prediction has increased.
Fang Shi   +3 more
openaire   +1 more source

Stacking based ensemble learning framework for identification of nitrotyrosine sites

Computers in Biology and Medicine
Protein nitrotyrosine is an essential post-translational modification that results from the nitration of tyrosine amino acid residues. This modification is known to be associated with the regulation and characterization of several biological functions and diseases.
Aiman Parvez   +3 more
openaire   +2 more sources

Modeling the Structured Porous Network Using Stacked Ensemble Learning

2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 2019
In this case study, we develop a stacked ensemble learning method to predict the extraction efficiency of the porous network. We generate the porous network data using computational fluid dynamics numerical method. Based on this data we train several machine-learning models.
Mehdi Nekouei, Sara Sartoli
openaire   +1 more source

Predictive Model of Employee Attrition Based on Stacking Ensemble Learning

SSRN Electronic Journal, 2022
Doohee Chung   +3 more
openaire   +1 more source

PV Forecasting with Constrained Ensemble Learning and Context-Aware Stacking

2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)
We propose a hybrid ensemble learning architecture for short-term photovoltaic (PV) power forecasting. The system integrates a physics-based model, a Bi-LSTM network, and an XGBoost regressor within a two-layer prediction pipeline. A constrained Ridge regression assigns robust weights to the base models, while a context-aware stacking layer dynamically
Leïla Sakli, Seifeddine Ben Elghali
openaire   +1 more source

Stacking ensemble model of deep learning for plant disease recognition

Journal of Ambient Intelligence and Humanized Computing, 2022
Junde Chen   +3 more
openaire   +1 more source

Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration

Computers and Electronics in Agriculture, 2021
Xiyun Jiao, Yousef Alhaj Hamoud
exaly  

Outage duration prediction under typhoon disaster with stacking ensemble learning

Reliability Engineering and System Safety, 2023
Hui Hou, Ruizeng Wei, Huan He
exaly  

Speech Instruction Recognition Method based on Stacking Ensemble Learning

2022 9th International Conference on Dependable Systems and Their Applications (DSA), 2022
Jun Zhao   +7 more
openaire   +1 more source

Multi-model Stacking Ensemble Learning for Student Achievement Prediction

2021 12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), 2021
Tao Fang   +3 more
openaire   +1 more source

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