Results 81 to 90 of about 336,506 (292)

Sharp MSE Bounds for Proximal Denoising [PDF]

open access: yesFoundations of Computational Mathematics, 2015
Denoising has to do with estimating a signal $x_0$ from its noisy observations $y=x_0+z$. In this paper, we focus on the "structured denoising problem", where the signal $x_0$ possesses a certain structure and $z$ has independent normally distributed entries with mean zero and variance $σ^2$.
Oymak, Samet, Hassibi, Babak
openaire   +4 more sources

3D Printed PEDOT:PSS‐Based Lattice Pressure Sensors With Tunable Electromechanical Response

open access: yesAdvanced Materials Technologies, EarlyView.
poly(3,4‐ethylenedioxythiophene): polystyrene sulfonate (PEDOT:PSS)‐based architected lattices are fabricated via single‐step Digital Light Processing (DLP) printing for tunable pressure sensing. Structural design variations allow precise control of sensitivity and range, while integrated conductivity eliminates post‐processing.
Ozan Karakaya   +9 more
wiley   +1 more source

Galinstan Liquid Metal/Polyurethane Composite as a Multifunctional Stretchable Electrode and Piezoresistive Strain Sensor With Minimal Drift

open access: yesAdvanced Materials Technologies, EarlyView.
Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak   +3 more
wiley   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi   +2 more
wiley   +1 more source

Experimenting with urban stressors: a network-based approach to systemic resilience through the URSA framework

open access: yesUrban Transformations
Understanding how shocks cascade through interdependent urban systems is essential for designing effective resilience strategies. We introduce the Urban Resilience and Sustainability Alliance (URSA), a network-based framework that represents a city’s ...
Mozhgan PourmoradNasseri   +4 more
doaj   +1 more source

Mental Status Extrication (MSE) [PDF]

open access: yesMedical Humanities, 2015
> I, poised on the edge > > of reason, sway. > > While you, weighing differentials, > > strike a diagnostic match > > igniting fiery thoughts and > > cogitating a multi-axial symptom overload. > > I, wording my life, flounder. > > Gasp, a fish on the table. > > You …
openaire   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

Improving the security of LSB image steganography

open access: yesJOIV: International Journal on Informatics Visualization, 2019
Steganography is the technique of hiding secret data (message) within any media such as digital color image. In this paper we will merge steganography process with cryptography process in order to increase the security of the proposed method.
Jamil Al-Azzeh   +3 more
doaj   +1 more source

The Asymptotic Performance of Linear Echo State Neural Networks [PDF]

open access: yes, 2016
In this article, a study of the mean-square error (MSE) performance of linear echo-state neural networks is performed, both for training and testing tasks.
Ali, Hafiz Tiomoko   +3 more
core   +2 more sources

Cramer Rao-Type Bounds for Sparse Bayesian Learning

open access: yes, 2012
In this paper, we derive Hybrid, Bayesian and Marginalized Cram\'{e}r-Rao lower bounds (HCRB, BCRB and MCRB) for the single and multiple measurement vector Sparse Bayesian Learning (SBL) problem of estimating compressible vectors and their prior ...
Murthy, Chandra R., Prasad, Ranjitha
core   +1 more source

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