Results 91 to 100 of about 187,634 (305)
Enhancing classification performance over noise and imbalanced data problems
, 2012 This research presents the development of techniques to handle two issues in data classification: noise and imbalanced data problems. Noise is a significant problem that can degrade the quality of training data in any learning algorithm.
Jeatrakul, Piyasak
core +1 more source
Differentiating noise and modulators in artificial neural networks [PDF]
, 1993 Research in Computational Neural Networks is currently taking place at many different levels; from coarse-grain symbolic models to fine-grain representations of neurons and cell processes. One feature that the different approaches share, is that they are all in relative infancy.
openaire +2 more sources
Unraveling the Electronic Structure of Silicon Vacancy Centers in 4H‐SiC
Advanced Functional Materials, EarlyView.The electronic structure of the silicon vacancy in 4H‐SiC is probed via transient absorption spectroscopy, uncovering previously inaccessible excited states of the quartet and doublet spin channels, including the V2' transition. In combination with theoretical analysis, a comprehensive picture of the electronic structure is established.
Ali Tayefeh Younesi +9 more
wiley +1 more source
Using Happiness Surveys to Value Intangibles: The Case of Airport Noise [PDF]
Inhabitants of houses near Amsterdam Airport are complaining of noise nuisance, caused by aircraft traffic. The usual assumption is that the effect of the externality will be perfectly reflected by house price differentials. This is based on the implicit
Bernard M.S. van Praag +1 more
core
IEEE Access, 2017 We investigate the impact of the wireless network's physical layer (PHY) security and reliability on demand-side management operation in the smart grid.
Ahmed El Shafie +3 more
doaj +1 more source
Noise increases the correspondence between artificial and human vision
PLOS Biology, 2021 The best performing computer vision systems are based on deep neural networks (DNNs). A study in this issue of PLOS Biology shows that DNNs trained on noisy stimuli are better than standard DNNs at mirroring both human behavioral and neural visual responses.
openaire +5 more sources
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
The Effect of Noise Reduction Measures on the Perception of Railway Noise
, 2015 The A-weighted sound pressure level is a commonly used quantity to assess the effect of noise reduction measures. However, psychoacoustic variables, in particular loudness, are assumed to better explain perceived annoyance.
Kaseß, Christian +3 more
core
Advanced Functional Materials, EarlyView.A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon +4 more
wiley +1 more source
Submicron Metasurface Reconfigured Multiband Smart Windows
Advanced Functional Materials, EarlyView.This work presents a submicron metasurface reconfigured multiband thermochromic smart window. By integrating subwavelength nanostructures into a Fabry−Perot resonator configuration, it mitigates conventional trade‐offs to simultaneously deliver high luminous transmittance and robust solar heating and radiative cooling modulation capabilities ...
Guanya Wang +8 more
wiley +1 more source