Results 81 to 90 of about 12,863 (232)

How Algorithmic Technologies ‘Constitute’ the Older Body: A Study of Fall‐Detection Wearables

Sociology of Health &Illness, Volume 48, Issue 6, July 2026.
ABSTRACT The cultural politics of the ‘problematic’ ageing body have led to a search for solutions in the form of algorithmic technologies. In this article, we look at one problem associated with the ageing body—unintentional falls—and one proposed algorithmic intervention: wearable fall‐detection technology.
Geoffrey Mead, Barbara B. Neves, Alex Broom   +2 more
wiley   +1 more source

Gearbox fault detection using static data and adaptive neurofuzzy inference system

, 2013
Condition monitoring of a gearbox is a crucial activity due to its importance in power transmission for many industrial applications. Thus, there has always been a constant pressure to improve measuring techniques and analytical tools for early ...
Gu, Fengshou, Ball, Andrew, Tran, Van Tung, Baqqar, Mabrouka   +3 more
core  

Comparative performance of intelligent algorithms for system identification and control [PDF]

, 2008
This paper presents an investigation into the comparative performance of intelligent system identification and control algorithms within the framework of an active vibration control (AVC) system.
Madkour, Ammr, Hossain, Alamgir, Yu, Hongniang, K.P. Dahal, Dahal, Keshav, H. Yu, Dahal, K.P., Yu, H., A.A.M. Madkour, Madkour, A.A.M., M.A. Hossain, Hossain, M.A.   +11 more
core   +1 more source

Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters

Mathematical and Computational Applications
This work presents a data-driven approach for diagnosing sensor faults and leaks in hydraulic pipelines using neuro-fuzzy Zonotopic Kalman Filters (ZKF).
Esvan-Jesús Pérez-Pérez, Yair González-Baldizón, José-Armando Fragoso-Mandujano, Julio-Alberto Guzmán-Rabasa, Ildeberto Santos-Ruiz   +4 more
doaj   +1 more source

Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems

, 2010
This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression tress (CART) and neuro-fuzzy inference systems (ANFIS).
Yang, Bo-Suk, Yang, B. S., Tran, Van Tung, Tran, V. T.   +3 more
core  

The Staging Model in Psychosis and Preventive Interventions: An Emerging Field With Debates on Conceptual Models and Interpretation of the Evidence Base

Early Intervention in Psychiatry, Volume 20, Issue 7, July 2026.
ABSTRACT Aims The staging model in psychiatry is heuristic and evolving, provoking debate and stimulating alternative views. This paper reviews major controversies in the field of staging and prevention of psychosis. Methods We review the literature on the classification model, the continuum model and the dynamic systems model applied to psychiatry ...
Mark van der Gaag, Cristina Mei, Barnaby Nelson, Maximus Berger, Marija Krcmar, G. Paul Amminger, Andreas Bechdolf, Paul Hutton, Pim Cuijpers, Alison R. Yung, Patrick D. McGorry   +10 more
wiley   +1 more source

Rainfall prediction in the northeast region of Thailand using Cooperative Neuro-Fuzzy Technique

, 2012
Accurate rainfall forecasting is a crucial task for reservoir operation and flood prevention because it can provide an extension of lead-time for flow forecasting. This study proposes two rainfall time series prediction models, the Single Fuzzy Inference
Wong, K.W., Fung, C.C., Kajornrit, J.
core  

A Study of Panel Logit Model and Adaptive Neuro-Fuzzy Inference System in the Prediction of Financial Distress Periods

, 2010
The purpose of this paper is to present two different approaches of financial distress pre-warning models appropriate for risk supervisors, investors and policy makers. We examine a sample of the financial institutions and electronic companies of Taiwan
Giovanis, Eleftherios
core  

Monthly rainfall time series prediction using modular fuzzy inference system with nonlinear optimization techniques

, 2012
Accurate rainfall time series prediction is one of the important tasks in hydrological study. A conventional time series model such as autoregressive moving average or an intelligent model such as artificial neural network have been used efficiently to ...
Kajornrit, J.
core  

Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board

Majlesi Journal of Electrical Engineering
In this paper, an intelligent adaptive controller is designed to handle the transmission time delay problem in a complex and nonlinear bilateral teleoperation system with force feedback.
Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim   +3 more
doaj   +1 more source