Results 51 to 60 of about 948,152 (383)

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler   +20 more
wiley   +1 more source

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati   +10 more
wiley   +1 more source

Combining Fuzzy C-Means Clustering with Fuzzy Rough Feature Selection

open access: yesApplied Sciences, 2019
With the rapid development of the network, data fusion becomes an important research hotspot. Large amounts of data need to be preprocessed in data fusion; in practice, the features of datasets can be filtered to reduce the amount of data.
Ruonan Zhao, Lize Gu, Xiaoning Zhu
doaj   +1 more source

FP-Conv-CM: Fuzzy Probabilistic Convolution C-Means

open access: yesMathematics, 2023
Soft computing models based on fuzzy or probabilistic approaches provide decision system makers with the necessary capabilities to deal with imprecise and incomplete information.
Karim El Moutaouakil   +3 more
doaj   +1 more source

Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering [PDF]

open access: yes, 2009
Let Q be a given n×n square symmetric matrix of nonnegative elements between 0 and 1, similarities. Fuzzy clustering results in fuzzy assignment of individuals to K clusters.
Bink, M.C.A.M.   +3 more
core   +2 more sources

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

open access: yesArthritis Care &Research, EarlyView.
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo   +88 more
wiley   +1 more source

Priority Road Restoration Classification Using Fuzzy C-Means: A Case Study In Samarinda City

open access: yesJurnal Teknologi dan Sistem Komputer, 2017
One of the factors traffic accidents is caused by a damaged road. Therefore, road improvements based on the priorities scale is indispensable. This study implements the Fuzzy C-means method.
Novianti Puspitasari   +2 more
doaj   +1 more source

A comparison of fuzzy approaches to e-commerce review rating prediction [PDF]

open access: yes, 2015
This paper presents a comparative analysis of the performance of fuzzy approaches on the task of predicting customer review ratings using a computational intelligence framework based on a genetic algorithm for data dimensionality reduction.
Acampora, G, Cosma, G
core   +1 more source

Current Tracking Adaptive Control of Brushless DC Motors

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García   +3 more
wiley   +1 more source

FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method

open access: yesFuzzy Information and Engineering
Semi-supervised clustering (SSC) methods have emerged as a notable research area in machine learning. These methods integrate prior knowledge of class distribution into their clustering process.
Shirin Khezri   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy