Results 91 to 100 of about 26,519,848 (254)
State-space independent component analysis for nonlinear dynamic process monitoring [PDF]
, 2010 The cost effective benefits of process monitoring will never be over emphasised. Amongst monitoring techniques, the Independent Component Analysis (ICA) is an efficient tool to reveal hidden factors from process measurements, which follow non-Gaussian
Odiowei, P. P., Cao, Yi
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Revista Finanzas y Política Económica, 2021 This paper compares the dimension reduction or feature extraction techniques, e.g., Principal Component Analysis, Factor Analysis, Independent Component Analysis and Neural Networks Principal Component Analysis, which are used as techniques for ...
Rogelio +2 more
doaj
Algorithm of Face Recognition by Principal Component Analysis
International Islamic University Malaysia Engineering Journal, 2012 A face recognition algorithm based on Principal Component Analysis (PCA) has been developed and tested for computer vision applications. A database of about 400 facial images was used to test the algorithm. Each image is represented by a matrix (112 x 92)
Khalid A. S. Al-Khateeb and Jaiz A. Y. Johari
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Principal component analysis on space-time volume for action recognition
, 2018 Action recognition refers to the identification and classification of an action that is present in a given video. In our research, action recognition is performed by analysing data captured via RGB depth (RGB-D) cameras. The captured data representing an
Ng, Dan D., Wong, Ya Ping, Ng, Boon Yian
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Demixed principal component analysis of neural population data
eLife, 2016 Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display mixed selectivity.
Dmitry Kobak +9 more
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FEBS Letters, EarlyView.Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
Principal-component analysis–coefficients of linear combinations.
, 2019 Principal-component analysis–coefficients of linear combinations.
Tiago Santos Telles (6401954) +3 more
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Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Factors determining farmers' progressiveness: A principal component analysis
The Indian Journal of Agricultural Sciences, 2015 Progressiveness of farmers has become the key concern for overall development of farm business. Now a days farmers give relatively more importance to scientific farm information and knowledge over physical inputs/resources and innovation over land and ...
RAKESH KUMAR K +3 more
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