Stacking Ensemble Learning Method for Quantitative Analysis of Soluble Solid Content in Apples
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Chemometrics"
DOI: 10.1002/cem.3635
Abstract: The soluble solids content (SSC) in apples directly affects their quality. This study aimed to detect SSC nondestructively using hyperspectral technology combined with chemometrics. However, data generation may not follow a specific pattern, and even… read more here.
Keywords: quantitative analysis; content; learning method; method quantitative ... See more keywords
Cataract grading method based on deep convolutional neural networks and stacking ensemble learning
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22722
Abstract: The cataract is the most common cause of severe vision impairment or blindness worldwide. A periodical diagnosis is recommended in order to prevent cataract severity, where screening might be feasibly ensured through fundus images. In… read more here.
Keywords: neural networks; ensemble learning; stacking ensemble; fundus images ... See more keywords
Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications
Sign Up to like & getrecommendations! Published in 2021 at "New Generation Computing"
DOI: 10.1007/s00354-021-00144-0
Abstract: The recent outbreak of novel coronavirus disease (COVID-19) has resulted in healthcare crises across the globe. Moreover, the persistent and prolonged complications of post-COVID-19 or long COVID are also putting extreme pressure on hospital authorities… read more here.
Keywords: covid complications; post covid; covid; stacking ensemble ... See more keywords
Estimation of seismic wave incident angle using vibration response data and stacking ensemble algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Computers and Geotechnics"
DOI: 10.1016/j.compgeo.2021.104255
Abstract: Abstract The determination of the incident angle of an earthquake is one of the critical research issues in modeling the seismic input mechanism at a dam site and it is also for geological exploration. At… read more here.
Keywords: angle; incident angle; stacking ensemble; estimation ... See more keywords
Research on internal leakage detection of the ball valves based on stacking ensemble learning
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad56b0
Abstract: Natural gas is an important clean energy source that is mainly transported through pipelines. The ball valve is a crucial piece of control equipment for the pipeline transportation system for natural gas, and the failure… read more here.
Keywords: leakage; stacking ensemble; ball valve; internal leakage ... See more keywords
Research on high-precision angular measurement based on machine learning and optical vortex interference technology
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad6207
Abstract: The paper innovatively constructs a regression prediction model based on the Stacking ensemble learning algorithm by utilizing the distortion degree of vortex optical interference patterns, achieving high-precision measurement of small angles. It constructs a regression… read more here.
Keywords: precision; stacking ensemble; machine learning; measurement ... See more keywords
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in functional genomics"
DOI: 10.1093/bfgp/elac057
Abstract: Enhancers, a class of distal cis-regulatory elements located in the non-coding region of DNA, play a key role in gene regulation. It is difficult to identify enhancers from DNA sequence data because enhancers are freely… read more here.
Keywords: ienhancer sknn; ensemble learning; stacking ensemble; sequence ... See more keywords
Improving predictions: Enhancing in-hospital mortality forecast for ICU patients with sepsis-induced coagulopathy using a stacking ensemble model
Sign Up to like & getrecommendations! Published in 2024 at "Medicine"
DOI: 10.1097/md.0000000000037634
Abstract: The incidence of sepsis-induced coagulopathy (SIC) is high, leading to increased mortality rates and prolonged hospitalization and intensive care unit (ICU) stays. Early identification of SIC patients at risk of in-hospital mortality can improve patient… read more here.
Keywords: ensemble model; hospital mortality; sic patients; mortality ... See more keywords
An Optimal Stacking Ensemble for Remaining Useful Life Estimation of Systems Under Multi-Operating Conditions
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2973500
Abstract: Remaining useful life (RUL) estimation is expected to provide appropriate maintenance for components or systems in industry to improve the reliability of the systems. Most data-based methods are limited to a single model, which is… read more here.
Keywords: useful life; stacking ensemble; operating conditions; estimation ... See more keywords
Research on Sand-Dust Storm Forecasting Based on Deep Neural Network With Stacking Ensemble Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3216309
Abstract: Weather forecasting is an important factor affecting production and life. With the development of technology, weather forecasting methods such as weather map forecasting, numerical weather forecasting, and quantitative forecasting methods have emerged. However, these traditional… read more here.
Keywords: network; dust storm; sand dust; stacking ensemble ... See more keywords
Adaptive Data Balancing Method Using Stacking Ensemble Model and Its Application to Non-Technical Loss Detection in Smart Grids
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230952
Abstract: A stacking ensemble model (SEM) is proposed in this paper to identify non-technical losses. Three layers make up the proposed model. Data pre-processing is performed at the first layer, where issues of data imbalance, missing… read more here.
Keywords: adaptive data; stacking ensemble; layer; non technical ... See more keywords