Results 71 to 80 of about 1,200,520 (247)

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

Continuum Robots in Surgery: From Engineering Design to Clinical Practice

open access: yesAdvanced Robotics Research, EarlyView.
The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith   +6 more
wiley   +1 more source

Fuzzy clustering: Consistency of entropy regularization

open access: yes, 2022
S.95-107We introduce in this paper a new formulation of the regularized fuzzy c-means (FCM) algorithm which allows us to set automatically the actual number of clusters.
Boujemaa, N., Sahbi, H.
core   +1 more source

UC Food Waste: A Multimodal Robotic Perception Dataset for Robust Contaminant Detection in Complex Biowaste Scenes

open access: yesAdvanced Robotics Research, EarlyView.
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal   +5 more
wiley   +1 more source

Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation [PDF]

open access: yes, 2018
© 2017 IEEE. In recent years, the concept of entropy has been widely used to measure the dynamic complexity of signals. Since the state of complexity of human beings is significantly affected by their health state, developing accurate complexity ...
Zehong Cao   +3 more
core   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

open access: yesAdvanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown   +3 more
wiley   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

Two Classes of Entropy Measures for Complex Fuzzy Sets

open access: yes, 2019
Complex fuzzy sets are characterized by complex-valued membership functions, whose range is extended from the traditional fuzzy range of [0,1] to the unit circle in the complex plane.
Songsong Dai   +3 more
core   +1 more source

Targeted Restoration of the Microbial Tryptophan Oxidative Pathway Ameliorates Autism‐Like Behavioral and Synaptic Deficits

open access: yesAdvanced Science, EarlyView.
ABSTRACT Autism Spectrum Disorder (ASD) is associated with gut microbiota dysbiosis, yet the contribution of specific microbial metabolic pathways remains unclear. Reanalysis of a public ASD cohort revealed reduced functional potential in microbial tryptophan oxidative metabolism.
Rui Guo   +14 more
wiley   +1 more source

Fuzzy unsupervised classification of multivariate time trajectories with the Shannon entropy regularization

open access: yes, 2006
Fuzzy unsupervised clustering models based on entropy regularization are suggested in order to classify time-varying data. In particular, in the proposed models, objective functions, which are the sum of two terms, are minimized.
D'URSO, Pierpaolo, COPPI, Renato
core   +1 more source

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