Results 71 to 80 of about 10,723 (231)
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 +11 more
core +1 more source
Arthritis Care &Research, Volume 78, Issue 7, Page 860-874, July 2026.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
Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems.
PLoS ONEAccuracy and speed of fault detection are crucial to the performance of DC transmission systems. In this paper, a novel approach is proposed for fault detection, classification, and localization in high-voltage DC transmission lines (HVDC-TLs).
A M Hamada +7 more
doaj +1 more source
Prediction in Photovoltaic Power by Neural Networks
Energies, 2017 The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Antonello Rosato +3 more
doaj +1 more source
Carbon Neutralization, Volume 5, Issue 4, July 2026.This review provides a comprehensive and up‐to‐date overview of applications of machine learning in predicting lithium/sodium‐ion batteries' cycle life. ABSTRACT The cycle life of rechargeable batteries, such as lithium‐ion and sodium‐ion systems, is a critical performance metric that determines their suitability for various applications in the context
Bo Zhang +6 more
wiley +1 more source
Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System
JITeCS (Journal of Information Technology and Computer Science), 2017 Rainfall forcasting is a non-linear forecasting process that varies according to area and strongly influenced by climate change. It is a difficult process due to complexity of rainfall trend in the previous event and the popularity of Adaptive Neuro ...
Gusti Ahmad Fanshuri Alfarisy +1 more
doaj +1 more source
ANFIS: Adaptive Neuro-Fuzzy Inference System- A Survey
International Journal of Computer Applications, 2015 paper, we presented the architecture and basic learning process underlying ANFIS (adaptive-network-based fuzzy inference system) which is a fuzzy inference system implemented in the framework of adaptive networks. Soft computing approaches including artificial neural networks and fuzzy inference have been used widely to model expert behavior.
Anurag Sharma +2 more
openaire +1 more source
Cross‐Level Regulatory Interactions Underlying Human Immune Aging
MedComm, Volume 7, Issue 7, July 2026.We performed multi‐omics sequencing on peripheral blood samples from 69 individuals aged 23–75 years and identified multi‐layered molecular interaction networks underlying the process of immune senescence, which provides a comprehensive multi‐omics framework for understanding immune aging and identifying potential strategies to delay immunosenescence ...
Quanyou Wu +9 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 +3 more
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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 +2 more
wiley +1 more source