Results 51 to 60 of about 580,173 (268)

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Discriminant analysis of spatial-temporal data

open access: yesLietuvos Matematikos Rinkinys, 2002
There is not abstract.
Jūratė Šaltytė-Benth   +1 more
doaj   +3 more sources

Discriminant projective non-negative matrix factorization. [PDF]

open access: yesPLoS ONE, 2013
Projective non-negative matrix factorization (PNMF) projects high-dimensional non-negative examples X onto a lower-dimensional subspace spanned by a non-negative basis W and considers W(T) X as their coefficients, i.e., X≈WW(T) X.
Naiyang Guan   +4 more
doaj   +1 more source

Pattern discrimination

open access: yes, 2018
How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? To answer this question, this book investigates a fundamental axiom in computer science: pattern discrimination. By imposing identity on input data, in order to filter—that is, to discriminate—signals from noise, patterns become a highly political issue ...
Apprich, Clemens   +3 more
openaire   +3 more sources

Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy

open access: yesAdvanced Functional Materials, EarlyView.
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao   +8 more
wiley   +1 more source

From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing

open access: yesAdvanced Functional Materials, EarlyView.
Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov   +5 more
wiley   +1 more source

Joint Bayesian Gaussian discriminant analysis for speaker verification

open access: yes, 2017
State-of-the-art i-vector based speaker verification relies on variants of Probabilistic Linear Discriminant Analysis (PLDA) for discriminant analysis.
Ou, Zhijian, Wang, Yiyan, Xu, Haotian
core   +1 more source

Metronidazole‐Loaded Cyclodextrin Nanogels for Antibacterial Therapy and Microbiota Regulation in Periodontitis

open access: yesAdvanced Healthcare Materials, EarlyView.
A methacrylamide β‐cyclodextrin‐based nanogel (MACD nGel) is developed to load the antimicrobial drug Metronidazole (MNZ) for topical delivery for the treatment of periodontitis. It is demonstrated that cyclodextrin nanogel (nGel) loaded with metronidazole provides an efficient drug delivery route but also has potential clinical applications and offers
Yanjing Ji   +8 more
wiley   +1 more source

Beyond the Gaussian

open access: yesSymmetry, Integrability and Geometry: Methods and Applications, 2011
In this paper we present a non-Gaussian integral based on a cubic polynomial, instead of a quadratic, and give a fundamental formula in terms of its discriminant. It gives a mathematical reinforcement to the recent result by Morozov and Shakirov. We also
Kazuyuki Fujii
doaj   +1 more source

Multi-scale Discriminant Saliency with Wavelet-based Hidden Markov Tree Modelling

open access: yes, 2013
The bottom-up saliency, an early stage of humans' visual attention, can be considered as a binary classification problem between centre and surround classes.
Ang, Kenneth Li-Minn   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy