Results 111 to 120 of about 74,320 (358)

Experimental Comparison between Classical and Bayes Estimators for the Parameter of Exponential Distribution

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2017
This paper is interested in comparing the performance of the traditional methods to estimate parameter of exponential distribution (Maximum Likelihood Estimator, Uniformly Minimum Variance Unbiased Estimator) and the Bayes Estimator in the case of data ...
N. H. Al-Noor
doaj  

Designing Physical Unclonable Functions From Optically Active Materials

open access: yesAdvanced Materials, EarlyView.
Assigning unforgeable “fingerprints” to manufactured goods is a key strategy to fight global counterfeiting. Optical physical unclonable functions (PUFs) are chemically generated random patterns of optically active materials serving as unique authenticators.
Maxime Klausen   +2 more
wiley   +1 more source

Prediction of COVID-19 with Supervised Regression Algorithm Through Minimum Variance Unbiased Estimator

open access: gold, 2021
Arjunan Manikandan   +4 more
openalex   +1 more source

Engineered Plasmonic and Fluorescent Nanomaterials for Biosensing, Motion, Imaging, and Therapeutic Applications

open access: yesAdvanced Materials, EarlyView.
A schematic illustration of how noble metals can be used to create nanoparticles (NPs) or nanoclusters (NCs). Noble metal NPs, due to their plasmonic properties, enable photothermal therapy and surface‐enhanced Raman scattering (SERS). In contrast, NCs, which lack a plasmonic resonance band, exhibit fluorescence, making them ideal for bioimaging ...
David Esporrín‐Ubieto   +3 more
wiley   +1 more source

The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives

open access: yesAdvanced Materials, EarlyView.
This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş   +4 more
wiley   +1 more source

On evaluating the efficiency of the delta-lognormal mean estimator and predictor

open access: yesMethodsX, 2022
A variable taking positive values from a lognormal distribution and null values with a given probability is distributed according to the so-called delta-lognormal distribution.
Philippe Aubry
doaj  

Low‐Noise, Unbiased Ferromagnetic‐Resonance‐Driven Thin‐Film Integrated Giant Magnetoimpedance Sensors

open access: yesAdvanced Materials Technologies, EarlyView.
Utilizing a novel (Ni81Fe19/Ti)4/Cu/(Ni81Fe19/Ti)4 thin‐film multilayer with low coercive field, low damping and a superior GMI ratio, a compact, low‐noise unbiased FMR‐driven integrated GMI sensor with a superior magnetic noise performance of ≈100 pT/√Hz is first demonstrated, owing to reduced phase noise from well‐defined aligned magnetic domains and
Bin Luo   +8 more
wiley   +1 more source

Uniformly minimum variance unbiased estimation for symmetric normal distributions

open access: yesJournal of Multivariate Analysis, 1990
AbstractWe give uniformly minimum variance unbiased estimators of a mean, a variance, and a covariance for a symmetric normal distribution which is a multivariate normal distribution with equal means, equal variances, and equal covariances. The properties of the estimators are discussed.
openaire   +2 more sources

Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.] [PDF]

open access: yes, 2014
Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site.
Chew, Yee Ming   +3 more
core  

Silicon‐Integrated Next‐Generation Plasmonic Devices for Energy‐Efficient Semiconductor Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Silicon (Si)‐integrated plasmonics offer a pathway to next‐generation, energy‐efficient semiconductor applications. This review highlights advances using complementary metal–oxide–semiconductor (CMOS)‐compatible materials like transparent conductive oxides and novel architectures, particularly coupled hybrid plasmonic waveguides (CHPWs).
Nasir Alfaraj, Amr S. Helmy
wiley   +1 more source

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