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Independent Component Analysis with Functional Neuroscience Data Analysis [PDF]
Journal of Biomedical Physics and Engineering, 2023 Background: Independent Component Analysis (ICA) is the most common and standard technique used in functional neuroscience data analysis. Objective: In this study, two of the significant functional brain techniques are introduced as a model for ...
Hadeel K Aljobouri
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Independent component analysis algorithms for non-invasive fetal electrocardiography. [PDF]
PLoS ONE, 2023 The independent component analysis (ICA) based methods are among the most prevalent techniques used for non-invasive fetal electrocardiogram (NI-fECG) processing. Often, these methods are combined with other methods, such adaptive algorithms.
Rene Jaros +5 more
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robustica: customizable robust independent component analysis [PDF]
BMC Bioinformatics, 2022 Background Independent Component Analysis (ICA) allows the dissection of omic datasets into modules that help to interpret global molecular signatures.
Miquel Anglada-Girotto +3 more
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Independent component analysis: algorithms and applications [PDF]
Neural Networks, 2000 A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors.
Erkki Oja
exaly +4 more sources
Independent component analysis: An introduction [PDF]
Applied Computing and Informatics, 2021 Independent component analysis (ICA) is a widely-used blind source separation technique. ICA has been applied to many applications. ICA is usually utilized as a black box, without understanding its internal details.
Alaa Tharwat
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BOTNET DETECTION USING INDEPENDENT COMPONENT ANALYSIS
International Islamic University Malaysia Engineering Journal, 2022 Botnet is a significant cyber threat that continues to evolve. Botmasters continue to improve the security framework strategy for botnets to go undetected.
Wan Nurhidayah Ibrahim +3 more
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Independent component analysis in spiking neurons. [PDF]
PLoS Computational Biology, 2010 Although models based on independent component analysis (ICA) have been successful in explaining various properties of sensory coding in the cortex, it remains unclear how networks of spiking neurons using realistic plasticity rules can realize such ...
Cristina Savin +2 more
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Applied Sciences, 2021 Dimensional reduction methods have significantly improved the simplification of Pulsed Thermography (PT) data while improving the accuracy of the results. Such approaches reduce the quantity of data to analyze and improve the contrast of the main defects
Julien R. Fleuret +3 more
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Non-Contact Heart Sound Measurement Using Independent Component Analysis
IEEE Access, 2022 A non-contact heart sound measurement method using independent component analysis (ICA) was successfully developed, and the measured heart sound was quantitatively evaluated with the signal-to-noise ratio (SNR). There have been recent developments in the
Shun Muramatsu +3 more
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Adaptive Speech Separation Based on Beamforming and Frequency Domain-Independent Component Analysis
Applied Sciences, 2020 Voice signals acquired by a microphone array often include considerable noise and mutual interference, seriously degrading the accuracy and speed of speech separation.
Ke Zhang, Yangjie Wei, Dan Wu, Yi Wang
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