Results 101 to 110 of about 1,900,626 (355)

A General Approach to Dropout in Quantum Neural Networks

open access: yesAdvanced Quantum Technologies, EarlyView., 2023
Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala   +3 more
wiley   +1 more source

Augmented Homotopical Algebraic Geometry

open access: yes, 2017
We develop the framework for augmented homotopical algebraic geometry. This is an extension of homotopical algebraic geometry, which itself is a homotopification of classical algebraic geometry.
Balchin, Scott
core  

From Triplet to Twist: The Photochemical E/Z‐Isomerization Pathway of the Near‐Infrared Photoswitch peri‐Anthracenethioindigo

open access: yesAngewandte Chemie International Edition, Accepted Article.
In recent years, significant progress has been made in the effort to shift the absorption of photoresponsive molecules into the long‐wavelength region of the electromagnetic spectrum. A breakthrough in this field was the recent development of π‐extended indigoid photoswitches, i.e., peri‐anthracenethioindigo (PAT), exhibiting all‐red to near‐infrared ...
Martina Hartinger   +6 more
wiley   +1 more source

Full‐order observer design for quadratic port‐controlled Hamiltonian systems

open access: yesAsian Journal of Control, EarlyView.
Abstract The full‐order observer design problem for a particular class of port‐controlled Hamiltonian systems is approached in this paper. The proposed full‐order observer scheme belongs to the structure preserving class of dynamic estimators as it preserves the natural stability properties of the approached class of systems that are useful for the ...
Michael Rojas   +2 more
wiley   +1 more source

Compressibility Function and Speed of Sound in the Non‐Commutative Quantum Hadrodynamics Type‐I Model for Neutron Stars

open access: yesAstronomische Nachrichten, EarlyView.
ABSTRACT We investigate the effects of a minimal measurable length on neutron stars, within the quantum hadrodynamics (QHD‐I) model modified by the Generalized Uncertainty Principle (GUP). Working in a deformed Poisson algebra framework, we incorporate GUP effects via a time‐invariant transformation of the phase space volume, effectively reducing the ...
João Gabriel Galli Gimenez   +2 more
wiley   +1 more source

Noncommutative algebraic geometry

open access: yesRevista Matemática Iberoamericana, 2003
The need for a noncommutative algebraic geometry is apparent in classical invariant and moduli theory. It is, in general, impossible to find commuting parameters parametrizing all orbits of a Lie group acting on a scheme. When one orbit is contained in the closure of another, the orbit space cannot, in a natural way, be given a scheme structure.
openaire   +5 more sources

Blend Electrodes in Lithium‐Ion Batteries: Investigation of Inhomogeneities Using a Spatially Resolved Transmission Line Model

open access: yesBatteries &Supercaps, EarlyView.
A model for blend electrodes is developed, parameterized, and validated using experimental data from a SiOx/Gr electrode. The model provides information about local states, such as the degree of lithiation or material‐specific C‐rates, distinguishing between the two active materials.
Maximilian Schamel   +3 more
wiley   +1 more source

Dynamic geometry: An agent for the reunification of algebra and geometry

open access: yesPythagoras, 2005
This paper investigates the degree of separation or unity between the algebraic and geometric modes of thought of students in tertiary education. Case studies indicate that as a student is inducted into the use of algebra the insightful and visual ...
Meira Hockman
doaj   +1 more source

Memory Gate Controlled by Contexts: Potential Key Structure That Could Link Small Associative Failures With Severe Cognitive Disorders

open access: yesBioEssays, EarlyView.
Memory gate (MG) hypothesis assumes a neural structure that connects inputs to appropriate contexts. Panel A shows an input (green) that, in the MG, does not match the context (red): memory does not recognize it. Panel B shows that, in the MG, the context (green) matches the input: memory recognizes the pattern.
Eduardo Mizraji, Juan Lin, Andrés Pomi
wiley   +1 more source

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