Results 111 to 120 of about 31,556 (234)
سلامت و محیط, 2023 Background and Objective: One of the important environmental problems is the mass production of urban waste, which has increased per capita household waste production with the ever-increasing population growth; Therefore, nowadays, the use of ...
Samira Bagheri +3 more
doaj
Strong Convergence of Neuro-Fuzzy Learning With Adaptive Momentum for Complex System
IEEE Access, 2019 This paper studies a split-complex-valued neuro-fuzzy algorithm for fuzzy inference system, which realizes a frequently used zero-order Takagi-Sugeno-Kang system. Here, adaptive momentum is utilized to speed up the learning convergence.
Yan Liu, Fang Liu, Long Li
doaj +1 more source
Intelligent Active Vibration Control for a Flexible Beam System [PDF]
, 2004 YesThis paper presents an investigation into the development of an intelligent active vibration control (AVC) system. Evolutionary Genetic algorithms (GAs) and Adaptive Neuro-Fuzzy Inference system (ANFIS) algorithms are used to develop mechanisms of
Dahal, Keshav P. +3 more
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Engineering Reports, Volume 8, Issue 5, May 2026.This graphical abstract compares circuit‐based, signal‐processing‐based, and intelligent‐learning‐based approaches for secondary arc‐fault detection, highlighting their key principles and practical advantages. ABSTRACT Reliable detection of free‐air electric arc faults in high‐voltage overhead transmission lines, together with accurate discrimination ...
Mahyar Abasi +2 more
wiley +1 more source
Neural Oscillations Track Subjective and Pupillary Arousal During Naturalistic Movie Viewing
European Journal of Neuroscience, Volume 63, Issue 9, May 2026.In this study, participants watched an emotionally evocative movie while EEG, pupil size and continuous subjective arousal annotations were recorded. By extracting the mean group arousal signatures, we revealed a cross‐modal convergence (r = 0.40) between the pupillary and subjective measures.
Magdalena Camenzind +6 more
wiley +1 more source
Modeling of Activated Sludge Process Using Sequential Adaptive Neuro-fuzzy Inference System [PDF]
آب و فاضلاب, 2014 In this study, an adaptive neuro-fuzzy inference system (ANFIS) has been applied to model activated sludge wastewater treatment process of Mobin petrochemical company.
Mahsa Vajedi, Shahrokh Shahhosseini
doaj
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
Obesity Reviews, Volume 27, Issue 5, May 2026.ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
ANFIS Controller for Non-holonomic Robots
Majlesi Journal of Electrical EngineeringIn this paper, a control strategy for a non-holonomic robot based on an Adaptive Neural Fuzzy Inference System is proposed. The neuro-controller makes it possible for the robot to track a given reference trajectory.
Ting Wang +2 more
doaj +1 more source
The Sociology of AI as an Emerging Field: Mapping Tensions and Boundaries
Sociology Compass, Volume 20, Issue 5, May 2026.ABSTRACT The expanding role of artificial intelligence (AI) in social life compels a foundational reassessment of sociology's concepts, methods, and theoretical commitments. From generative language models to predictive policing, AI systems are no longer mere tools but increasingly agentic, opaque, and normative sociotechnical actors.
Canhui Liu
wiley +1 more source
Medical image classification and symptoms detection using neuro fuzzy [PDF]
, 2008 The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible.
Mohd. Basri, Mohd. Ariffanan
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