Results 61 to 70 of about 3,257 (211)
Jixie qiangdu, 2016 Grouplet transform is a new directional wavelet. This wavelet can be transformed at any time and space,and adaptively change the basis according to image texture.
LI ZhiNong +3 more
doaj
Pediatric Pulmonology, Volume 61, Issue 1, January 2026.ABSTRACT Objective Infants hospitalized with bronchiolitis may experience persistent symptoms linked to future chronic lung diseases like bronchiectasis. Identifying phenotypes during hospitalization could guide targeted interventions. As traditional clustering requires large datasets, this study explores whether Unsupervised Feature Extraction ...
Hongqi Niu +4 more
wiley +1 more source
An effective method to improve Electronic Equipment Condition Monitoring Based on KPCA-EDA and MMSH-SVDD [PDF]
, 2014 In order to improve the validity of electronic equipment condition monitoring, overcome the shortage of normal KPCA (Kernel Principal Component Analysis) and SVDD (Support Vector Data Description) monitoring model, a method on electronic equipment ...
Meng, Chen, Lv, Meng, Yang, Shen
core +1 more source
Protein Science, Volume 35, Issue 1, January 2026.Abstract Intrinsically disordered proteins (IDPs) lack stable tertiary structure and instead exist as dynamic ensembles of conformations, playing essential roles in cellular regulation, signaling, and disease. As structural ensembles of IDPs become increasingly available through databases such as the Protein Ensemble Database (PED) and various ...
Hamidreza Ghafouri +3 more
wiley +1 more source
Modeling mortality with Kernel Principal Component Analysis (KPCA) method
As the global population continues to age, effective management of longevity risk becomes increasingly critical for various stakeholders. Accurate mortality forecasting serves as a cornerstone for addressing this challenge.
Chen, Andrew +4 more
core +1 more source
You-qi chuyunObjectiveTo improve the accuracy of internal corrosion rate predictions for natural gas gathering and transportation pipelines in marine environments, evaluate their residual strength, develop anti-corrosion measures, and ensure their safe operation, a ...
Zhengshan LUO, Sisi CHEN, Yiqiong GAO
doaj +1 more source
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.This paper proposes IFCM‐DMCQRLSTM, a scenario‐aware monotonic quantile‐learning framework that addresses two key challenges in short‐term photovoltaic (PV) forecasting: temporal heterogeneity caused by weather‐driven profile shifts and quantile crossing in probabilistic prediction.
Wanying Zhang +3 more
wiley +1 more source
Research on Gas Emission Prediction Based on KPCA-ICSA-SVR
In the context of deep mining, the uncertainty of gas emission levels presents significant safety challenges for mines. This study proposes a gas emission prediction model based on Kernel Principal Component Analysis (KPCA), an Improved Crow Search ...
Li Liu +4 more
core +1 more source
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.This paper proposes a radiative‐path‐aware satellite irradiance retrieval–driven method for ultra‐short‐term PV forecasting. The retrieved wide‐area irradiance dynamically constructs the graph for a GAT‐LSTM forecaster, improving prediction accuracy.
Na Li +6 more
wiley +1 more source
Non-Intrusive Load Identification Method Based on KPCA-IGWO-RF
, 2023 Non-invasive load monitoring (NILM) represents a crucial technology in enabling smart electricity consumption. In response to the challenges posed by high feature redundancy, low identification accuracy, and the high computational costs associated with ...
Kaifeng Hu +4 more
core +1 more source