PeerMate: a malicious peer detection algorithm for P2P systems based on MSPCA by Wei, Xianglin, Ahmed, Tarem, Chen, Ming, Pathan, Al-Sakib Khan

“…Firstly, we divide the malicious peers into six categories; secondly, we bring forward PeerMate, a malicious peers detection algorithm based on Multiscale Principal Component Analysis (MSPCA) and Quality of Reconstruction (QR), to detect malicious peers in reputation based P2P systems; finally, we show through simulations that PeerMate can detect malicious peers efficiently and accurately.…”
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Multiscale PMU Data Compression via Density-Based WAMS Clustering Analysis by Gyul Lee, Do-In Kim, Seon Hyeog Kim, Yong-June Shin

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Enhanced Neural Network Method-Based Multiscale PCA for Fault Diagnosis: Application to Grid-Connected PV Systems by Khadija Attouri, Majdi Mansouri, Mansour Hajji, Abdelmalek Kouadri, Kais Bouzrara, Hazem Nounou

Subjects: “…Multiscale Principal Component Analysis (MSPCA)…”
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EEMD and Multiscale PCA-Based Signal Denoising Method and Its Application to Seismic P-Phase Arrival Picking by Kang Peng, Hongyang Guo, Xueyi Shang

“…To address this issue, we propose a signal denoising method based on ensemble empirical mode decomposition (EEMD) and MSPCA. The proposed method can conduct MSPCA-based denoising for a single signal compared with the former MSPCA-based denoising methods. …”
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Fault Data Detection of Traffic Detector Based on Wavelet Packet in the Residual Subspace Associated with PCA by Xiaolu Li, Xi Zhang, Peng Zhang, Guangyu Zhu

“…This paper proposes the fault data detection models based on the PCA model, MSPCA (multiscale principal component analysis) model and improved MSPCA model, respectively. …”
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Fault detection and monitoring using multiscale principal component analysis at a sewage treatment plant by Mirin, Siti Nur Suhaila, Abdul Wahab, Norhaliza

“…Therefore, in this work, MSPCA is introduced to improve the performance of PCA in fault detection. …”
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Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS by Lau, C.K., Ghosh, K., Hussain, Mohd Azlan, Hassan, C.R.C.

“…The features extracted from raw measured data sets using MSPCA are partitioned into score space and residual space which are then fed into multiple ANFIS classifiers in order to diagnose different faults. …”

Enhanced Multiscale Principal Component Analysis for Improved Sensor Fault Detection and Isolation by Byanne Malluhi, Hazem Nounou, Mohamed Nounou

“…Multiscale PCA (MSPCA) is a well-established fault-detection and isolation (FDI) technique. …”
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Anomaly detection using intelligent analytics by Chen, Zhaomin

“…In addition, the author introduces MMECE threshold and Bayesian-PCA to the conventional-MSPCA algorithm. Thus, this improved-MSPCA algorithm has lower time complexity and fewer parameters to set. …”
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Fault detection and monitoring using multiscale PCA by Mirin, S. N. S., Wahab, N. A.

“…The results show the advantages of applying MSPCA over conventional PCA.…”

Fault detection and monitoring system using enhanced principal component analysis for the application in wastewater treatment plant by Mirin, Siti Nur Suhaila

“…The enhanced methods are Multiscale PCA (MSPCA) and Recursive PCA (RPCA), which are appropriate for offline monitoring test and online monitoring test, respectively. …”
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The Influence of Vinification Methods and Cultivars on the Volatile and Phenolic Profiles of Fermented Alcoholic Beverages from Cranberry by Jingying Zhang, Donglin Chen, Xiao Chen, Paul Kilmartin, Siew Young Quek

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Comparison of Ensemble Machine Learning Methods for Automated Classification of Focal and Non-Focal Epileptic EEG Signals by Samed Jukic, Muzafer Saracevic, Abdulhamit Subasi, Jasmin Kevric

“…Multi-scale Principal Component Analysis (MSPCA) is used for denoising EEG signals and the autoregressive (AR) algorithm will extract useful features from the EEG signal. …”
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Identification, Comparison and Classification of Volatile Compounds in Peels of 40 Apple Cultivars by HS–SPME with GC–MS by Shunbo Yang, Nini Hao, Zhipeng Meng, Yingjuan Li, Zhengyang Zhao

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Identification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition Index by Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz

“…First of all, the public datasets IVa, IVb, and V from BCI competition III were denoised using multiscale principal analysis (MSPCA), and then a SDI feature was calculated corresponding to each trial of the data. …”
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Evaluation by MALDI-TOF MS and PCA of the diversity of biosurfactants and their producing bacteria, as adaption to weathered oil components by Shaikha Y. Alsayegh, Zulfa Al Disi, Mohammad A. Al-Ghouti, Nabil Zouari

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Multivariate Features Extraction and Effective Decision Making Using Machine Learning Approaches by Sondes Gharsellaoui, Majdi Mansouri, Shady S. Refaat, Haitham Abu-Rub, Hassani Messaoud

“…The effectiveness and higher classification accuracy of the developed Multiscale PCA (MSPCA)-based ML technique is demonstrated using two examples: synthetic data and simulated data extracted from Air Conditioning systems.…”
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Exploiting Asymmetric EEG Signals with EFD in Deep Learning Domain for Robust BCI by Binwen Huang, Haiqin Xu, Miao Yuan, Muhammad Zulkifal Aziz, Xiaojun Yu

“…Our method amalgamates multiscale principal component analysis (MSPCA), a novel empirical Fourier decomposition (EFD) signal resolution method with Hilbert transform (HT), followed by four pre-trained convolutional neural networks for automatic feature estimation and segregation. …”
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Quality Control and Variability Assessment of an Eight-Herb Formulation for Hypertension Using Method Validation and Statistical Analysis by Mariam Jarouche, Harsha Suresh, Mitchell Low, Samiuela Lee, Cindy Xu, Cheang Khoo

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The Essential Oil Compositions of Three <i>Teucrium</i> Taxa Growing Wild in Sicily: HCA and PCA Analyses by Giorgia Catinella, Natale Badalamenti, Vincenzo Ilardi, Sergio Rosselli, Laura De Martino, Maurizio Bruno

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