Results 91 to 100 of about 408,145 (290)
Applied SciencesMining-induced seismicity presents significant challenges to the safety and operational continuity of underground mines, particularly in deep and highly stressed environments.
Felipe Muñoz +3 more
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Designing a Hybrid Approach to Predict the Performance of Decision Making Units Based on Fuzzy Stochastic DEA and PCA [PDF]
چشمانداز مدیریت صنعتی, 2014 Data Envelopment Analysis is a management method which applied to performance analysis for decision making units. This paper presents a new hybrid approach based on fuzzy stochastic DEA (FSDEA) and principal component analysis (PCA) to predict efficiency
Ali Yaghoubi +2 more
doaj
Constructing Indonesian Composite Infrastrcuture Index using Principal Component Analysis.
Journal of Indonesian Applied Economics, 2022 This article aims to develop Indonesia's economic infrastructure indices, including transportation, telecommunications, education, and financial. The index employs indicators from 2018 at the regency level using Principal Component Analysis (PCA) to ...
FIRMAN HERDIANSAH, Farah Pangestuty
doaj
Remote Sensing, 2019 Dimensionality reduction (DR) is an important preprocessing step in hyperspectral image applications. In this paper, a superpixelwise kernel principal component analysis (SuperKPCA) method for DR that performs kernel principal component analysis (KPCA ...
Lan Zhang, Hongjun Su, Jingwei Shen
doaj +1 more source
Statistical significance of variables driving systematic variation
, 2013 There are a number of well-established methods such as principal components analysis (PCA) for automatically capturing systematic variation due to latent variables in large-scale genomic data.
Chung, Neo Christopher, Storey, John D.
core +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
A Kernel based approach for classification of electromagnetic interference signals
Revista Técnica de la Facultad de Ingeniería, 2010 This paper introduces Electromagnetic Interference signal classification methods for signals obtained on ribbon cables with different crosstalk configurations. The proposed method comprises two stages. The first one is a preprocessing stage that applies
Ender Luzardo +2 more
doaj
Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy
Advanced Functional Materials, EarlyView.FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao +8 more
wiley +1 more source
Implementasi Pengenalan Wajah Menggunakan PCA (Principal Component Analysis)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), 2013 AbstrakSistem identifikasi berkembang dengan cepat. Perkembangan tersebut mendorong kemajuan sistem keamanan berbasis biometrik. Pengenalan wajah adalah salah satu sistem identifikasi yang dikembangkan berdasarkan perbedaan ciri wajah seseorang berbasis biometrik yang memiliki keakuratan tinggi.Eigenface merupakan salah satu metode pengenalan wajah ...
Pratiwi, Dian Esti, Harjoko, Agus
openaire +2 more sources
, 2016 We revisit the problem of finding principal components to the multivariate datasets, that lie on an embedded nonlinear Riemannian manifold within the higher-dimensional space.
Pham, Tung, Yao, Zhigang
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