Results 81 to 90 of about 3,390,517 (303)

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

Robust Forecasting State Estimation of Power System Based on Square Root UPF [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban
In order to solve the problem of poor estimation accuracy and even divergence coused by the covariance matrix of state prediction error in iterative computation of forecasting-aided state estimators, in this study, a robust forecasting-aided state ...
WANG Kewen   +4 more
doaj   +1 more source

Photoluminescence Reshaping via Structural Confinement and Local Density of Optical States Control in Ir(III)‐Doped Biodegradable Metasurfaces

open access: yesAdvanced Materials Technologies, EarlyView.
Phosphorescent biodegradable metasurface showing vibronic selection and spectral photoluminescence narrowing. Anti‐correlation between experimental LDOS and measured lifetimes. ABSTRACT Metasurfaces incorporating phosphorescent emitters offer a route to engineer radiative and vibronic processes beyond chemical design.
Vincenzo Caligiuri   +11 more
wiley   +1 more source

Gridless DOA Estimation Method for Arbitrary Array Geometries Based on Complex-Valued Deep Neural Networks

open access: yesRemote Sensing
Gridless direction of arrival (DOA) estimation methods have garnered significant attention due to their ability to avoid grid mismatch errors, which can adversely affect the performance of high-resolution DOA estimation algorithms. However, most existing
Yuan Cao, Tianjun Zhou, Qunfei Zhang
doaj   +1 more source

Autonomous Reconfigurable Modular Conductive Hydrogels for Adaptive and Degradable Bioelectronic Interfaces

open access: yesAdvanced Materials Technologies, EarlyView.
Bridging rigid electrodes with soft, irregular tissues demands more than conductivity alone. Modular conductive hydrogels autonomously reconfigure into conformal electrode‐tissue interfaces, coupling mixed ionic‐electronic conduction with tissue‐like mechanics, self‐healing, and degradability.
Matthew K. Burgess   +4 more
wiley   +1 more source

Bayes linear covariance matrix adjustment [PDF]

open access: yes, 1995
In this thesis, a Bayes linear methodology for the adjustment of covariance matrices is presented and discussed. A geometric framework for quantifying uncertainties about covariance matrices is set up, and an inner-product for spaces of random matrices ...
Wilkinson, Darren James
core  

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing

open access: yesIEEE Access, 2018
In space–time adaptive processing (STAP) technique, the estimation of the interference-plus-noise covariance matrix is one of the critical points.
Yu Zhao   +4 more
doaj   +1 more source

A blocking and regularization approach to high dimensional realized covariance estimation [PDF]

open access: yes, 2009
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix ...
Hautsch, Nikolaus   +6 more
core   +1 more source

Force–Displacement Characterization of PNIPAM Microactuators

open access: yesAdvanced Robotics Research, EarlyView.
A method to experimentally establish a force–displacement diagram of poly(N‐isopropyl acrylamide) (PNIPAM) microactuators, printed by 2PP, is presented herein. PNIPAM is a hydrogel whose volume and stiffness change with temperature due to the absorption or release of water.
Manon Cassignol   +4 more
wiley   +1 more source

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