Results 81 to 90 of about 5,264,500 (305)

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

open access: yesAdvanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou   +4 more
wiley   +1 more source

Asymptotic inference for nearly unstable AR(p) processes [PDF]

open access: yes, 1999
In this paper nearly unstable AR( p) processes (in other words, models with characteristic roots near the unit circle) are studied. Our main aim is to describe the asymptotic behavior of the least-squares estimators of the coefficients.
van Zuijlen, Martien C. A.   +2 more
core   +1 more source

On optimal periodic solution of differential equations

open access: yesJournal of Kufa for Mathematics and Computer, 2018
this paper dedicated to the construction of solution of a three time scale periodic singular perturbed non-linear quadratic optimal control problem by using the direct method.
Methaq Hamza Geem
doaj   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

Asymptotic Results with Generalized Estimating Equations for Longitudinal data II [PDF]

open access: yes
We consider the marginal models of Liang and Zeger (1986) for the analysis of longitudinal data and we develop a theory of statistical inference for such models.
Ioana Schiopu-Kratina, R. M. Balan
core  

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

open access: yesAdvanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu   +4 more
wiley   +1 more source

On the Evaluation of the Asymptotic Fairness of Bonus-Malus Systems [PDF]

open access: yes
In this paper we try to evaluate the asymptotic fairness of bonus-malus systems, assuming the simplest case when there is no hunger for bonus.The asymptotic fairness has to be understood as the bonus-malus systemability in assessing the individual risks ...
J.A. Gil, J.L. Vilar, A. Heras
core  

Top mass from asymptotic safety

open access: yesPhysics Letters B, 2018
We discover that asymptotically safe quantum gravity could predict the top-quark mass. For a broad range of microscopic gravitational couplings, quantum gravity could provide an ultraviolet completion for the Standard Model by triggering asymptotic ...
Astrid Eichhorn, Aaron Held
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

Uniform asymptotics for robust location estimates when the scale is unknown [PDF]

open access: yes
Most asymptotic results for robust estimates rely on regularity conditions that are difficult to verify and that real data sets rarely satisfy. Moreover, these results apply to fixed distribution functions.
Ruben H. Zamar, Matias Salibian-Barrera
core  

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