Results 81 to 90 of about 265,367 (299)

A multivariate generalized independent factor GARCH model with an application to financial stock returns [PDF]

, 2008
We propose a new multivariate factor GARCH model, the GICA-GARCH model , where the data are assumed to be generated by a set of independent components (ICs).
García-Ferrer, Antonio, González-Prieto, Ester, Peña, Daniel   +2 more
core   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Improving the accuracy of Multispectral-based benthic habitats mapping using image rotations: the application of Principle Component Analysis and Independent Component Analysis

, 2016
The low number of water penetration bands in multispectral images limits the maximum descriptive resolution and the accuracy of the resulting benthic habitats maps, especially at higher levels of benthic habitats scheme complexities.
P. Wicaksono
semanticscholar   +1 more source

Heavy-tailed Independent Component Analysis

, 2015
Independent component analysis (ICA) is the problem of efficiently recovering a matrix $A \in \mathbb{R}^{n\times n}$ from i.i.d. observations of $X=AS$ where $S \in \mathbb{R}^n$ is a random vector with mutually independent coordinates. This problem has
Anderson, Joseph, Goyal, Navin, Nandi, Anupama, Rademacher, Luis   +3 more
core   +1 more source

Microrobotic Catheterization of the Ophthalmic Artery for Targeted Treatment of Retinoblastoma

Advanced Intelligent Systems, EarlyView.
A microrobotic platform is presented that allows teleoperated and autonomous navigation of flow‐driven magnetic microcatheters, MagFlow, into the ophthalmic artery for superselective intra‐arterial infusion of chemotherapy to treat retinoblastoma. Extensive benchtop validations with patient‐derived biomimetic phantoms under optical and fluoroscopic ...
Artur Banach, Mehdi Krichen, Julian Raub, Christina Stathopoulos, Bruno Bartolini, Mahmut Selman Sakar   +5 more
wiley   +1 more source

Independent Low-Rank Matrix Analysis-Based Automatic Artifact Reduction Technique Applied to Three BCI Paradigms

Frontiers in Human Neuroscience, 2020
Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) can potentially enable people to non-invasively and directly communicate with others using brain activities.
Suguru Kanoga, Takayuki Hoshino, Takayuki Hoshino, Hideki Asoh   +3 more
doaj   +1 more source

Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets

International Journal of Molecular Sciences, 2019
Independent component analysis (ICA) is a matrix factorization approach where the signals captured by each individual matrix factors are optimized to become as mutually independent as possible.
N. Sompairac, P. Nazarov, Urszula Czerwińska, Laura Cantini, A. Biton, Askhat Molkenov, Z. Zhumadilov, E. Barillot, F. Radvanyi, Alexander N Gorban, U. Kairov, A. Zinovyev   +11 more
semanticscholar   +1 more source

Modeling Covariate Effects in Group Independent Component Analysis with Applications to Functional Magnetic Resonance Imaging [PDF]

, 2015
Independent component analysis (ICA) is a powerful computational tool for separating independent source signals from their linear mixtures. ICA has been widely applied in neuroimaging studies to identify and characterize underlying brain functional ...
Guo, Ying, Shi, Ran
core  

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source

A Modified ICA based Process Monitoring Strategy-Case Study of a Steel Billet Manufacturing Unit [PDF]

International Journal of Industrial Engineering and Production Research, 2021
The article highlights the development of a Non-Gaussian Process Monitoring Strategy for a Steel Billet Manufacturing Unit (SBMU). The non-Gaussian monitoring strategy being proposed is based on Modified Independent Component Analysis (ICA) which is a ...
Bhagwan Kumar Mishra, Anupam Das
doaj