Results 71 to 80 of about 12,863 (232)
The application of ANFIS prediction models for thermal error compensation on CNC machine tools
, 2015 Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Longstaff, Andrew P. +3 more
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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
An Adaptive Neuro-Fuzzy Inference System Based Approach to Real Estate Property Assessment [PDF]
This paper describes a first effort to design and implement an adaptive neuro-fuzzy inference system based approach to estimate prices for residential properties. The data set consists of historic sales of homes in a market in Midwest USA and it contains
Alan S. Levitan, Jian Guan, Jozef Zurada
core
Adaptive neuro fuzzy inference system for profiling of the atmosphere [PDF]
, 2014 Abstract. Retrieval of accurate profiles of temperature and water vapor is important for the study of atmospheric convection. However, it is challenging because of the uncertainties associated with direct measurement of atmospheric parameters during convection events using radiosonde and retrieval of remote-sensed observations from satellites.
K. Ramesh +4 more
openaire +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
Learning fuzzy inference systems using an adaptive membership function scheme
, 1996 An adaptive membership function scheme for general additive fuzzy systems is proposed in this paper. The proposed scheme can adapt a proper membership function for any nonlinear input-output mapping, based upon a minimum number of rules and an initial ...
Tsoi A.C., Lotfi, A, Lotfi A., Tsoi, AC
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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
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