Results 51 to 60 of about 159,341 (296)

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

open access: yesAdvanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh   +5 more
wiley   +1 more source

An Improved Ranking-Based Feature Enhancement Approach for Robust Speaker Recognition

open access: yesIEEE Access, 2016
Although the field of automatic speaker or speech recognition has been extensively studied over the past decades, the lack of robustness has remained a major challenge.
Furong Yan   +3 more
doaj   +1 more source

Framework Flexibility on Water Sorption and Transport in ZIF‐90: Insights from Neural‐Network Molecular Dynamics

open access: yesAdvanced Materials Interfaces, EarlyView.
A DeepMD‐based molecular dynamics framework is developed to investigate water adsorption in ZIF‐90, explicitly accounting for framework flexibility. Results show that atomistic flexibility significantly influences adsorption energetics, diffusion, and structural correlations, yielding nearly constant heat of adsorption and enhanced mobility.
Nick Mackus   +3 more
wiley   +1 more source

Autocorrelation and partial autocorrelation functions of SARIMA residuals.

open access: yes, 2021
Autocorrelation and partial autocorrelation functions of SARIMA residuals.
Mohammad Taghi Shakeri (11302187)   +5 more
core   +1 more source

Dental Microwear Texture Analysis on Radular Teeth

open access: yesAdvanced Materials Interfaces, EarlyView.
3D microwear textures reveal how gastropod radular teeth respond to controlled abrasive contact. Distinct surface signatures distinguish regular abrasion from fracture‐dominated material removal, showing how mineralized coatings, fibrous cores, and substrate properties jointly shape wear and failure in a biological scraping interface.
Wencke Krings   +2 more
wiley   +1 more source

Investigation of Some Cryptographic Properties of the 8x8 S-boxes Created by Quasigroups [PDF]

open access: yesComputer Science Journal of Moldova, 2020
We investigate several cryptographic properties in 8-bit S-boxes obtained by quasigroups of order 4 and 16 with several different algebraic constructions.
Aleksandra Mileva   +3 more
doaj  

Nanomaterial‐Incorporated Nonlinear Optical Waveguides Explored With All‐Fiber Multiphoton Polymerization

open access: yesAdvanced Optical Materials, EarlyView.
Nonlinear waveguides are fabricated via an all‐fiber‐based multiphoton polymerization approach incorporating upconversion nanoparticles (UCNPs), which enable both multiphoton absorption at telecommunication wavelengths and nonlinear saturable absorption operation.
Bowon Ryu   +7 more
wiley   +1 more source

The limiting power of autocorrelation tests in regression models with linear restrictions

open access: yes, 2004
It is well known that the Durbin-Watson and several other tests for first-order autocorrelation have limiting power of either zero or one in a linear regression model without an intercept, and tend to a constant lying strictly between these values when ...
Wan, Alan, Zou, Guohua, Banerjee, Anurag
core   +1 more source

Acoustic Emission Source Location Using a Distributed Feedback Fiber Laser Rosette

open access: yesSensors, 2013
This paper proposes an approach for acoustic emission (AE) source localization in a large marble stone using distributed feedback (DFB) fiber lasers. The aim of this study is to detect damage in structures such as those found in civil applications.
Fang Li, Wenzhu Huang, Wentao Zhang
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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