Results 81 to 90 of about 808,398 (185)
Tissue Clearing for Lymph Nodes: 3D Mapping of Nerves and the Immune Microenvironment
iNew Medicine, EarlyView.ABSTRACT Lymph nodes (LNs) are central hubs of adaptive immunity and key relay sites for metastatic tumour cells. However, conventional two‐dimensional histology samples only a small fraction of each node, potentially missing micrometastases and multifocal involvement while obscuring long‐range spatial relationships among tumour deposits, immune ...
Guang‐Hong Su +7 more
wiley +1 more source
, 2000 The well-known generalization of hard C-means (HCM) clustering is fuzzy C-means (FCM) clustering where a weight exponent on each fuzzy membership is introduced as the degree of fuzziness.
Wagner, Michael +3 more
core +1 more source
Why Use Immersive Virtual Reality to Assess Gait in Functional Motor Disorders?
Movement Disorders, EarlyView.Abstract Background Functional motor disorders (FMD) are disabling conditions modulated by attentional demands. Immersive virtual reality (iVR) engages multiple attentional and sensory networks, but its application in people with FMD (PwFMD) remains limited.
Marialuisa Gandolfi +14 more
wiley +1 more source
, 2018 We propose a novel approach to characterize the complexity of multivariate physiological processes over multiple time scales, which hereinafter we call Refined Generalized Multivariate Multiscale Fuzzy Entropy (ReGeM-MFE).
Gaetano Valenza +5 more
core +1 more source
Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy [PDF]
, 2017 © 2017 IEEE. This study considers the dynamic changes of complexity feature by fuzzy entropy measurement and repetitive steady-state visual evoked potential (SSVEP) stimulus.
Mukesh Prasad +8 more
core +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang +5 more
wiley +1 more source
FEWT: Frequency‐Enhanced Wavelet‐Based Transformer for Multimodal Wheeled Bimanual Manipulation
SmartBot, EarlyView.An embodied mobile bimanual robot learns dexterous manipulation skills through imitation learning with multimodal perception. The integration of vision, proprioception, and tactile sensing establishes a comprehensive perception–action loop, enabling the robot to continuously understand, interact with, and adapt to complex physical environments.
Jiaxin Huang +6 more
wiley +1 more source
Machine Learning‐Assisted Development in Insulating Materials for High Voltage Applications
High Voltage, EarlyView.ABSTRACT The advancement of power systems imposes increasingly stringent performance requirements on insulating materials, making the development of high‐performance insulating materials a critical challenge in the field of electrical engineering. Traditional material development relies heavily on empirical trial‐and‐error approaches, which are time ...
Yichen Ran +17 more
wiley +1 more source
, 2016 ## This item has been superseded. It contained code for Azami, H., Fernández, A. & Escudero, J. Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis. Med Biol Eng Comput 55, 2037–2052 (2017). For up-to-date versions
Azami, Hamed, Escudero, Javier
core +1 more source
Entropy, 2019 Exploring the manifestation of emotion in electroencephalogram (EEG) signals is helpful for improving the accuracy of emotion recognition. This paper introduced the novel features based on the multiscale information analysis (MIA) of EEG signals for ...
Zhilin Gao +3 more
doaj +1 more source