Results 51 to 60 of about 3,257 (211)

Mine water inrush source discrimination model based on KPCA-ISSA-KELM.

PLoS ONE
In order to ensure the safety of coal mine production, a mine water source identification model is proposed to improve the accuracy of mine water inrush source identification and effectively prevent water inrush accidents based on kernel principal ...
Wei Wang, Xinchao Cui, Yun Qi, Kailong Xue, Ran Liang, Zhipeng Sun, Hongjing Tao   +6 more
doaj   +1 more source

Three Synchronized, Miniaturized, Wireless Inertial Measurement Unit Sensors for Automated Gait and Balance Analysis System

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi, Ki‐Hoon Kim, Heung Jin Park, Yuna Kim, Hyunjin Lee, Yu Bin Lee, Youn Joung Kang, Sungchul Huh, Min‐Ho Seo   +8 more
wiley   +1 more source

A Comparative Study of PCA and KPCA for Groundwater Quality Index Estimation [PDF]

Groundwater quality assessment is crucial for ensuring human welfare and promoting sustainable economic development. This study evaluates the effectiveness of linear Principal Component Analysis (PCA) and nonlinear Kernel PCA (KPCA) in developing a ...
Ahmed, Hassan, Dr., Abdelaziz, Shokry, Dr., Eizeldin, Mohamed, Dr., Kheimi, Marwa, Dr.   +3 more
core   +3 more sources

Sensor fault detection and isolation of an industrial gas turbine using partial adaptive KPCA

, 2018
In this paper, sensor fault detection and isolation of time-varying nonlinear dynamical systems is studied by utilizing an adaptive kernel principal component analysis (KPCA) solution as a useful method to overcome the weaknesses of conventional KPCA ...
Navi M., Meskin N., Davoodi M.
core   +2 more sources

Hybrid KPCA-SVM Method for Pattern Recognition of Chatter Gestation

, 2011
To distinguish chatter gestation, chatter recognition method based on hybrid KPCA(Kernel Principal Compenent Analysis) and SVM(Support Vector Machine) is proposed for dynamic patterns of chatter gestation in cutting process.
Wen Long Li, Qiang Shao, Chang Jian Feng
core   +1 more source

Distribution network planning based on double deep Q‐network with self‐adjusting parameters

Energy Conversion and Economics, Volume 7, Issue 2, Page 105-126, April 2026.
Abstract To address the challenge of low adaptability in distribution network planning caused by significant regional differences in electricity consumption, this paper proposes a distribution network planning method based on a self‐adjusting parameter double deep Q‐network (SAP‐DDQN).
Xingquan Ji, Kezhuang Xue, Yumin Zhang, Pingfeng Ye, Xizhen Xue, Zuqing Zheng, Yunqi Wang   +6 more
wiley   +1 more source

The Promise of Low‐Cost Metal‐Oxide Semiconductor Gas Sensors for Precision Agriculture

Advanced Sensor Research, Volume 5, Issue 3, March 2026.
Low‐cost MOS (metal‐oxide semiconductor) gas sensors are redefining smart farming. This review explores their role across soil monitoring, crop health assessment, and post‐harvest management. By addressing challenges of selectivity, signal drift, and data fusion, this work envisions MOS gas sensors as pivotal tools for intelligent, data‐driven, and ...
Ali Ahmad, Sandra Sendra, Jaime Lloret, Jinhe Bai, Erin Rosskopf, Francesco Di Gioia   +5 more
wiley   +1 more source

SURF and KPCA based image perceptual hashing algorithm

, 2016
Image perceptual hashing is a notable concept in the field of image processing. Its application ranges from image retrieval, image authentication, image recognition, to content-based image management. In this paper a novel image hashing algorithm based
Qi, Yinlong, Qiu, Yuehong, Yuehong Qiu, Yinlong Qi   +3 more
core   +1 more source

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

Fault Diagnosis for Motor Rotor Based on KPCA-SVM

, 2011
Aimed at the nonlinear properties of motor rotor vibration signal,a fault diagnosis method based on kernel principal component analysis (KPCA) and support vector machines (SVM) was proposed.
Da Lian Yang, Ping Li, Ling Li Jiang, Xue Jun Li   +3 more
core   +1 more source