Results 91 to 100 of about 4,616,379 (323)

Leveraging Mechanical Resonances for the Selection of Promising Materials in Complex Phase Spaces

open access: yesAdvanced Materials Technologies, EarlyView.
A central challenge in materials science is the design of new functional materials with enhanced performance for targeted applications. This paper demonstrates that “listening” to materials through measuring their mechanical resonances is a rich, and largely untapped, platform for the rapid identification of promising novel compounds and a powerful ...
Christopher A. Mizzi   +4 more
wiley   +1 more source

Normal Approximation to a Poisson Random Variable

open access: yes, 2014
If ƛ is a positive integer, then a Poisson random variable with parameter ƛ can be thought of as a sum of ƛ independent Poisson random variables, each with parameter one.
Boucher, Chris
core  

An All‐Fabric Wearable System for Human‐Machine Interaction

open access: yesAdvanced Materials Technologies, EarlyView.
An all‐fabric sensing system enables wearable human–machine interaction through a breathable, stretchable, and scalable design. The all‐fabric capacitive sensor achieves a gauge factor of 2.03 over 72% strain and supports body‐motion tracking, 90.5% hand gesture recognition, and real‐time prosthetic hand control, demonstrating a promising pathway ...
Rayane Tchantchane   +3 more
wiley   +1 more source

Binomial Approximation to a Poisson Random Variable

open access: yes, 2011
If a coin that comes up heads with probability p is tossed n times, the number of heads observed follows a binomial probability distribution. The Poisson probability distribution can be regarded as a limiting case of the binomial distribution as the ...
Boucher, Chris
core   +1 more source

Milde Lösungen von SPDEs mit Poisson-Rauschen in unendlich dimensionalen Hilberträumen und ihre Abhängigkeit vom Anfangswert [PDF]

open access: yes, 2005
Knoche C. Mild solutions of SPDE's driven by Poisson noise in infinite dimensions and their dependence on initial conditions. Bielefeld (Germany): Bielefeld University; 2005.We investigate stochastic partial differential equations in an infinite ...
Knoche, Claudia
core  

Conditional Variable Importance for Random Forests [PDF]

open access: yes, 2008
Random forests are becoming increasingly popular in many scientific fields because they can cope with ``small n large p'' problems, complex interactions and even highly correlated predictor variables. Their variable importance measures have recently been
Augustin Thomas   +14 more
core   +1 more source

Pointlike Material Accumulation and Displacement in Azopolymer Thin Films Driven by Spatial Light Modulation

open access: yesAdvanced Optical Materials, EarlyView.
A maskless, SLM‐driven approach enables the deterministic inscription of arbitrary topographical features in azopolymer films by mapping complex vectorial light fields onto local viscoplastic stress. This platform allows for the rapid generation and dynamic erasure of high‐aspect‐ratio micro‐spikes, offering a versatile tool for reconfigurable flat ...
Jonas Strobelt   +3 more
wiley   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

open access: yesAdvanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Mathematical Properties of the Binomial-Poisson Distribution

open access: yesJournal of Applied Sciences and Environmental Management
This study conducts a thorough analytical exploration of the Binomial-Poisson distribution, a compound probability model where the number of Binomial trials follows a Poisson distribution. Through application of the compound distribution methodology and
A. A. Ayenigba   +3 more
doaj   +4 more sources

MCMC methods for multi-response generalized linear mixed models

open access: yes, 2010
Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in closed form.
J. Hadfield
semanticscholar   +1 more source

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