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Workshop: Optimising psychophysiological data quantification using Principal Components Analysis (PCA)

• Authors : Robert J. Barry; Jack S. Fogarty; Frances M. De Blasio

Subjects: Behavioral Neuroscience; Psychiatry and Mental health; Neuropsychology and Physiological Psychology

• Source: Frontiers in Human Neuroscience. 11

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Novelty P3 reductions in depression: characterization using principal components analysis (PCA) of current source density (CSD) waveforms

• Authors : Craig E. Tenke; Jonathan W. Stewart; Jürgen Kayser

Subjects: Adult; Male; Cognitive Neuroscience

• Source: Psychophysiology. 47(1)

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Application of Principal Components Analysis (PCA) for long-term assessment of operating releases from the nuclear power industry

• Authors : D.R. Tuerpe; M.H. Dickerson; J.J. Walton

Subjects: Engineering; Meteorology; business.industry

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Study on the Digital Intelligent Diagnosis of Miniature Machine Tools

• Authors : Ze-Kai Jian; Tzu-Chi Chan; Yu-Chuan Wang

Subjects: Technology; Time delays; business.product_category

• Source: Applied SciencesVolume 11Issue 18Statistical Inference for Ergodic Algorithmic Model (EAM), Applied to Hydrophobic Hydration Processes ISBN: 9789392117381Applied Sciences, Vol

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Methods of two-dimensional projection of digital images into eigen-subspaces: peculiarities of implementation and application

• Authors : Georgy Kukharev; N. L. Shchegoleva

Subjects: face image (FI) sets and numeric matrices; Computer science; canonical correlation analysis (CCA)

• Source: Компьютерная оптика, Vol 42, Iss 4, Pp 637-656 (2018)

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Evaluating conventional and advanced visible image enhancement solutions to produce digital tracings at el Carche rock art shelter

• Authors : Silvia Álvarez Blanco; B. Carrión; José Luis Lerma

Subjects: Computer image enhancement; Archeology; Engineering

• Source: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname

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Physical characteristics of pipes as indicators of structural state for decision-making considerations in sewer asset management

• Authors : Liliana López-Kleine; Nathalie Hernández; Andrés Torres

Subjects: sewer pipes; Computer science; k-means

• Source: Ingeniería e Investigación, Vol 36, Iss 3, Pp 15-21 (2016)RedalycRepositorio UNUniversidad Nacional de Colombiainstacron:Universidad Nacional de Colombia

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Comparing how entrepreneurs and managers represent the elements of the business model canvas

• Authors : Seán F. Keane; Jerome Sheahan; Kathryn Cormican

Subjects: Self-efficacy; Business model canvas; Scale development

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Robust Segmentation of Planar and Linear Features of Terrestrial Laser Scanner Point Clouds Acquired from Construction Sites

• Authors : Janaka Y. Ruwanpura; Reza Maalek; Derek D. Lichti

Subjects: Similarity (geometry); Computer science; robust planar and linear segmentation

• Source: Sensors (Basel, Switzerland)Sensors; Volume 18; Issue 3; Pages: 819Sensors, Vol 18, Iss 3, p 819 (2018)

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Identification of Factors That Influence Energy Performance in Water Distribution System Mains

• Authors : Saeed Hashemi; Vanessa Speight; Yves Filion

Subjects: lcsh:Hydraulic engineering; Mains electricity; energy efficiency

• Source: Water; Volume 10; Issue 4; Pages: 428Water, Vol 10, Iss 4, p 428 (2018)

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