Search Results - "Principal components analysis"

Determinants of the Transition Towards Sustainable Energy in Romania (2007–2024): A Principal Component Analysis Approach.

Authors: Bătuşaru, Cristina Maria Baboş, Alina Mihaela Porancea-Răulea, Andreea Simina

Source: International Conference KNOWLEDGE-BASED ORGANIZATION. Jun2026, Vol. 32 Issue 2, p1-8. 8p.

A Lightweight PCA and Isolation Forest Based Anomaly Detection Approach Evaluated on the NSL KDD Dataset.

Authors: Gaur, Ajay Mahesh¹ ajay.gaur@ucdenver.edu

Source: Advances in Consumer Research. May2026, Vol. 3 Issue 5, p535-544. 10p.

Dynamic speckle contrast and principal component analysis for infrasound frequency identification and clustering.

Authors: Bhagat, Nikhil Padghan, Prafull Alti, Kamlesh

Source: EPJ Web of Conferences. 6/26/2026, Vol. 375, p1-11. 11p.

Analysis of Warehouse Locations in the Cold Chain: A Hybrid Approach with Principal Component Analysis and Supervised Learning: Towards a More Efficient and Resilient Logistics.

Authors: Asri, Ouamima El Hammou, Hachmi El Ouaazizi, Aziza et al.

Source: EPJ Web of Conferences. 6/24/2026, Vol. 374, p1-6. 6p.

Financial Adaptability and Firm Performance Under Macroeconomic Shocks: Evidence from a Commodity-Dependent Emerging Economy.

Authors: Ganbat, Khurelbaatar Sodnomdavaa, Tsolmon Buyantsogt, Asralt et al.

Source: International Journal of Financial Studies. May2026, Vol. 14 Issue 5, p107. 23p.

Localized Understanding of Multidimensional Energy Needs in states and municipalities in Mexico.

Alternate Title: Comprensión Localizada de Necesidades Energéticas Multidimensionales en estados y municipios de México.

Authors: García Meza, Mario Alberto Sánchez Cano, Julieta Evangelina Ríos Bolívar, Humberto

Source: Análisis Económico. may-ago2026, Vol. 41 Issue 107, p91-105. 15p.

Exact and Approximation Algorithms for Sparse Principal Component Analysis.

Authors: Li, Yongchun Xie, Weijun

Source: INFORMS Journal on Computing. May/Jun2025, Vol. 37 Issue 3, p582-602. 21p.

Sparse Online Principal Component for Elliptical Factor Models.

Authors: Zhou, Yuanyuan Liu, Siqi Guo, Guangbao

Source: IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2640-2644. 5p.

Subjects: Principal components analysis, Real-time computing, Parameter estimation, Scalability, Sequential learning

Improved Hyperspectral Imagery Classification with Adaptive Denoising.

Authors: Chen, Guang Yi Sun, Wei Qian, Shen-En

Source: Engineering Letters. Jul2026, Vol. 34 Issue 7, p2710-2715. 6p.

Subjects: Image denoising, Principal components analysis, Hyperspectral imaging systems, Feature extraction, Signal denoising, Image recognition (Computer vision), Noise control

Eight-legged Robot; Simscape Multibody Toolbox; Optimization; Genetic Algorithm.

Authors: A.Rasheed, Abdalem¹ alem12@uomosul.edu.iq

Source: Iraqi Journal for Electrical & Electronic Engineering. Jun2026, Vol. 22 Issue 1, p77-85. 9p.

Subjects: Discrete cosine transforms, Principal components analysis, Voiceprints, Automatic speech recognition

Landsat Imagery Built-Up Area Extraction Method with Use of Multiple Indexes and Tasseled Cap Transformation.

Authors: Gu, Juan Dou, Peng Huang, Chunlin et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 11, p1721. 23p.

Subjects: Principal components analysis, Landsat satellites, Geographic spatial analysis, Built environment

Transformer-based hybrid classification for plant leaf disease detection using vision transformer, principal component analysis, and support vector machine.

Authors: Abbigeri, Vijayalakshmi S. Devanagavi, Geetha D.

Source: International Journal of Electrical & Computer Engineering (2088-8708). Jun2026, Vol. 16 Issue 3, p1399-1406. 8p.

Subjects: Transformer models, Principal components analysis, Foliar diagnosis, Precision farming, Classification algorithms, Support vector machines, Agricultural technology, Feature extraction

Risk level assessment method for urban intersections based on improved principal component analysis.

Authors: Zhao, Y. M. Chen, X. Y. Chen, H. X.

Source: Advances in Transportation Studies. Jul2026, Vol. 69, p247-258. 12p.

Subjects: Risk assessment, Principal components analysis, City traffic, Feature extraction, Automobile travel, Road interchanges & intersections, Velocity measurements

From Data to Discovery: Unsupervised Machine Learning's Role in Social Cognition.

Authors: Doriscar, Jonathan E. Mamakos, Michalis Perry, Sylvia P. et al.

Source: Social Cognition. Jun2025, Vol. 43 Issue 3, p194-216. 23p.

A two-stage hierarchical support vector machine framework detects roasted coffee adulterants through principal component analysis of hyperspectral imaging data.

Authors: AL-Agouz, Ahmed Ebrahem, Mohamed Hosni, Mohamed I. et al.

Source: Scientific Reports. 7/9/2026, Vol. 16 Issue 1, p1-22. 22p.

Biochemical characterizations of leaves and fruits in Crataegus monogyna Jacq., C. pontica K.Koch, C. microphylla K.Koch, and C. pentagyna Waldst. & Kit. ex Willd.

Authors: Koliaei, Sama Erfani-Moghadam, Javad Saidi, Mehdi et al.

Source: PLoS ONE. 7/6/2026, Vol. 21 Issue 7, p1-23. 23p.

A multiscale differential principal-feature architecture for portfolio optimization: Mathematical formulation and empirical results.

Authors: Alkhudaydi, Muhammad Hilal¹, mh.ayedh@tu.edu.sa

Source: Networks & Heterogeneous Media; 2026, Vol. 21 Issue 3, p1-47, 47p

基于PCA 的黄芩最佳割茬时间和割茬高度研究.

Alternate Title: Study on Optimal Stubble Cutting Time and Height for Scutellaria baicalensis Based on PCA.

Authors: 马朋辉 李 佳 袁翔宇 et al.

Source: Journal of Anhui Agricultural Sciences. 6/28/2026, Vol. 54 Issue 12, p150-154. 5p.

Stage-Sensitive Risk Structure Analysis in Construction Digital Transformation: An Unsupervised Learning-Enhanced DEMATEL–ISM Framework.

Authors: Li, Tangzhenhao You, Jianxin Sörqvist, Emil et al.

Source: Buildings (2075-5309); Jun2026, Vol. 16 Issue 12, p2386, 34p

PCA-BP Neural Network-Based Mining Cost Forecasting Model for Underground Metal Mines: A Gold Mine Case.

Authors: Wu, Bingshu Li, Guoqing Hou, Jie et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6094, 21p