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TacVerse: A Multisensor Dataset and Benchmark for Cross‐Sensor Vision‐Based Tactile Perception
Advanced Robotics Research, EarlyView.TacVerse provides a controlled benchmark of 106 800 tactile images from seven vision‐based tactile sensors across shape classification, grating classification, and force regression. Direct cross‐sensor transfer reveals substantial sensor‐shift degradation, with grating and force perception more affected than shape recognition.
Lan Wei +8 more
wiley +1 more source
Magnetically Actuated Microrobot for Drug Delivery: Current Progress and Challenges
Advanced Robotics Research, EarlyView.Magnetically actuated microrobots are reshaping targeted drug delivery through wireless propulsion, programmable materials, and localized therapeutic release. This review examines how fabrication, body material selection, structural architecture, loading mechanisms, and imaging‐guided control converge to enable microrobotic therapies while identifying ...
Yang Yang, David J. Cappelleri
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Behavioral and Brain Sciences, 2010 AbstractIn the target article, Cramer et al. suggest that diagnostic classification is improved by modeling the relationship between manifest variables (i.e., symptoms) rather than modeling unobservable latent variables (i.e., diagnostic categories such as Generalized Anxiety Disorder).
Dennis J, McFarland, Loretta S, Malta
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Latent variable models with nonparametric interaction effects of latent variables
Statistics in Medicine, 2013Renal disease is one of the common complications of diabetes, especially for Asian populations. Moreover, cardiovascular and renal diseases share common risk factors. This paper proposes a latent variable model with nonparametric interaction effects of latent variables for a study based on the Hong Kong Diabetes Registry, which was established in 1995 ...
Song, Xinyuan +2 more
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Measurement: Interdisciplinary Research and Perspectives, 2008
This paper formulates a metatheoretical framework for latent variable modeling. It does so by spelling out the difference between observed and latent variables. This difference is argued to be purely epistemic in nature: We treat a variable as observed when the inference from data structure to variable structure can be made with certainty and as latent
openaire +3 more sources
This paper formulates a metatheoretical framework for latent variable modeling. It does so by spelling out the difference between observed and latent variables. This difference is argued to be purely epistemic in nature: We treat a variable as observed when the inference from data structure to variable structure can be made with certainty and as latent
openaire +3 more sources
Continuity of latent variable models
IEEE Transactions on Automatic Control, 1990We study the continuity of the behavior of dynamical systems as a function of the parameters in their behavioral equations. The problem is motivated by means of an RLC circuit whose port behavior exhibits a surprising discontinuity as a function of the numerical values of the elements in the circuit.
WILLEMS, JC, NIEUWENHUIS, JWH
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