Results 71 to 80 of about 4,724,154 (309)

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

Advanced 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, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Testing proportional hazards for specified covariates

Modern Stochastics: Theory and Applications, 2019
Tests for proportional hazards assumption concerning specified covariates or groups of covariates are proposed. The class of alternatives is wide: log-hazard rates under different values of covariates may cross, approach, go away.
Vilijandas Bagdonavičius, Rūta Levulienė   +1 more
doaj   +1 more source

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

Advanced 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, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Asymptotic Results on Matching Distributions

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1973
Summary The generalized matching distribution is investigated. A necessary and sufficient condition for asymptotic Poissonity is given. The case of two identical decks is given special attention.
openaire   +2 more sources

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced 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, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced 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, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Testing Homogeneity for Poisson Processes Prueba de homogeneidad para procesos de Poisson

Revista Colombiana de Estadística, 2011
We developed an asymptotically optimal hypothesis test concerning the homogeneity of a Poisson process over various subintervals. Under the null hypothesis, maximum likelihood estimators for the values of the intensity function on the subintervals are ...
ALEJANDRA TAPIA, RAÚL FIERRO
doaj  

Some Notes about Inference for the Lognormal Diffusion Process with Exogenous Factors

Mathematics, 2018
Different versions of the lognormal diffusion process with exogenous factors have been used in recent years to model and study the behavior of phenomena following a given growth curve.
Patricia Román-Román, Juan José Serrano-Pérez, Francisco Torres-Ruiz   +2 more
doaj   +1 more source

An Asymptotic Expansion for Posterior Distributions

The Annals of Mathematical Statistics, 1967
Let $\phi$ be a real valued parameter for the exponential family having densities of the form \begin{equation*}\tag{0.1}p_\phi(x) = C(\phi) \exp \lbrack\phi R(x)\rbrack\end{equation*} with respect to a $\sigma$-finite measure $\mu$ over a Euclidean sample space. Now assume that the parameter $\phi$ has a prior density $\rho(\phi)$.
openaire   +2 more sources

Distributional derivation of an asymptotic expansion [PDF]

Proceedings of the American Mathematical Society, 1980
An alternative derivation of the asymptotic expansion of multiple Fourier transforms is presented. The present approach is based on the use of distributions. With some modifications, this method can also be applied to other integral transforms with oscillatory kernels such as the Hankel transform.
openaire   +1 more source