Results 71 to 80 of about 17,074 (218)

Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS) [PDF]

Applied Energy, 2011
Wind energy has become a major competitor of traditional fossil fuel energy, particularly with the successful operation of multi-megawatt sized wind turbines. However, wind with reasonable speed is not adequately sustainable everywhere to build an economical wind farm.
Mohandes, M., Rehman, Shafiqur, Rahman, S.M.   +2 more
openaire   +2 more sources

Review of recent advances in the design, synthesis, and modification of biochar for remediation of heavy metal pollution in water

The Canadian Journal of Chemical Engineering, Volume 104, Issue 4, Page 1769-1795, April 2026.
Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma, Mehedi Hasan, Sudip K. Rakshit, Janusz Kozinski, Kang Kang   +4 more
wiley   +1 more source

A control structure for ambidextrous robot arm based on Multiple Adaptive Neuro‐Fuzzy Inference System

IET Control Theory & Applications, 2021
This paper presents the novel design of an ambidextrous robot arm that offers double range of motion as compared to dexterous arms. The arm is unique in terms of design (ambidextrous feature), actuation (use of two different actuators simultaneously ...
Mashood Mukhtar, Dhayaa Khudher, Tatiana Kalganova   +2 more
doaj   +1 more source

Remaining Useful Life (RUL) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects

Engineering Reports, Volume 8, Issue 4, April 2026.
A comprehensive review of model‐based, data‐driven, and hybrid approaches for Remaining Useful Life (RUL) prediction, emphasizing their role in predictive maintenance, fault diagnosis, and enhancing industrial reliability. ABSTRACT This paper aims to provide a state‐of‐the‐art review of the most recent Remaining Useful Life (RUL) prediction methods ...
Arslan Ahmed Amin, Ansa Mubarak, Saba Waseem, Zuhair A. Alqarni, Habib Ullah Manzoor   +4 more
wiley   +1 more source

Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS)

MATICS, 2016
The number of uncertain risk factor in heart disease makes experts difficult to diagnose its disease. Computer technology in the health field is mostly used. In this paper, we implement a system to diagnose heart disease. The used method is Adaptive neuro-fuzzy inference system which combine the advantage of fuzzy and neural network.
openaire   +2 more sources

A Multi‐Fiber Data‐Driven Framework for Predicting Impact Resistance of Fiber‐Reinforced Concrete Using Hybrid ANN Optimization

Engineering Reports, Volume 8, Issue 4, April 2026.
This study presents a unified, data‐driven framework for predicting the impact resistance of fiber‐reinforced concrete (FRC) using hybrid Artificial Neural Networks (ANNs) trained with Genetic Algorithm (GA) and Levenberg–Marquardt (LM) optimization techniques.
Hossein Khosravi, Mahdi Mohammadi, Mohammad Bahram   +2 more
wiley   +1 more source

Analysis and Application of Advanced Control Strategies to a Heating Element Nonlinear Model [PDF]

, 2017
open4siSustainable control has begun to stimulate research and development in a wide range of industrial communities particularly for systems that demand a high degree of reliability and availability (sustainability) and at the same time characterised by
Gokcen Akkurt, G., SIMANI, Silvio, Turhan, T., Zajic, I.   +3 more
core   +1 more source

ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION

Facta Universitatis. Series: Mechanical Engineering, 2016
The paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in precipitation estimation. The monthly precipitation data from 29 synoptic stations in Serbia during 1946-2012 are used as case studies.
Dalibor Petković, Milan Gocić, Shahaboddin Shamshirband   +2 more
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, Volume 14, Issue 4, Page 2318-2344, April 2026.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Intelligent Learning Algorithms for Active Vibration Control [PDF]

, 2007
YesThis correspondence presents an investigation into the comparative performance of an active vibration control (AVC) system using a number of intelligent learning algorithms.
Dahal, Keshav P., Hossain, M. Alamgir, Madkour, A.A.M.   +2 more
core   +1 more source