Results 81 to 90 of about 17,157 (222)
Energy Science &Engineering, Volume 14, Issue 3, Page 1286-1299, March 2026.This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso +5 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. +3 more
core +1 more source
Forecasting Carbon Prices: A Literature Review
Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
Modeling of shear wave velocity in limestone by soft computing methods
International Journal of Mining Science and Technology, 2017 The main purpose of current study is development of an intelligent model for estimation of shear wave velocity in limestone. Shear wave velocity is one of the most important rock dynamic parameters.
Danial Behnia +2 more
doaj +1 more source
Adaptive neuro-fuzzy model with fuzzy clustering for nonlinear prediction and control [PDF]
, 2014 Nonlinear systems have more complex manner and profoundness than linear systems.Thus, their analyses are much more difficult.This paper presents the use of neuro-fuzzy networks as means of implementing algorithms suitable for nonlinear black-box ...
Al-Himyari, Bayadir Abbas +2 more
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Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.ABSTRACT Flood loss mapping is one of the essential prerequisites for urban flood assessment studies to identify areas vulnerable to floods and to make cities safe and resilient. This study develops a neuro‐fuzzy loss model to generate flood loss maps, classifying loss levels into several categories ranging from no loss to severe loss.
Mahdi Sedighkia +2 more
wiley +1 more source
Basic and Clinical Neuroscience, 2012 Epilepsy is a clinical syndrome in which seizures have a tendency to recur. Sodium valproate is the most effective drug in the treatment of all types of generalized seizures. Finding the optimal dosage (The lowest effective dose) of sodium valproate is a
Amir Hooshang Mohammadpour +3 more
doaj +2 more sources
Fruit production forecasting by neuro-fuzzy techniques [PDF]
Neuro-fuzzy techniques are finding a practical application in many fields such as in model identification and forecasting of linear and non-linear systems.
Atsalakis, George S. +1 more
core +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
core
Laparoscopy Pneumoperitoneum Fuzzy Modeling [PDF]
, 2011 : Gas volume to intra-peritoneal pressure fuzzy modeling for evaluating pneumoperitoneum in videolaparoscopic surgery is proposed in this paper. The proposed approach innovates in using fuzzy logic and fuzzy set theory for evaluating the accuracy of the ...
Joao L. M. C. Azevedo +2 more
core +2 more sources