Results 81 to 90 of about 47,257 (241)

A Neuro-Fuzzy Approach in the Prediction of Financial Stability and Distress Periods [PDF]

The purpose of this paper is to present a neuro-fuzzy approach of financial distress pre-warning model appropriate for risk supervisors, investors and policy makers.
Giovanis, eleftheios
core   +1 more source

Experimental Modal Analysis‐Driven Gaussian Process Regression Modeling of Rectangular Steel Beams With Various Hole Geometries

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee, Majid Rajaei, Mohammad Hossein Mahdavi Nasab, Parsa Shafiei   +3 more
wiley   +1 more source

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

Enhancing microgrid renewable energy integration at SEKEM farm

Global Energy Interconnection
This study explores the feasibility of implementing a hybrid microgrid system powered by renewable energy sources. Including solar photovoltaics, wind energy, and fuel cells to ensure a reliable and sustainable electricity supply for the SEKEM farm in ...
Mohamed M. Reda, Mohamed I. Elsayed, M.A. Moustafa Hassan, Hatem M. Seoudy   +3 more
doaj   +1 more source

Four-Area Load Frequency Control of an Interconnected Power System Using Neuro-Fuzzy Hybrid Intelligent Proportional and Integral Control Approach

Journal of Intelligent Systems, 2013
This article presents a novel control approach, hybrid neuro-fuzzy (HNF), for the load frequency control (LFC) of a four-area interconnected power system.
Giri Surya Prakash, Sinha Sunil Kumar
doaj   +1 more source

Modelling of Metallurgical Processes Using Chaos Theory and Hybrid Computational Intelligence [PDF]

, 2002
The main objective of the present work is to develop a framework for modelling and controlling of a real world multi-input and multi-output (MIMO) continuously drifting metallurgical process, which is shown to be a complex system.
C, S Kumar, Faruqi, M Aslam, Jallu, Krishnaiah, Roy, A K   +3 more
core  

The Mediator's Mind: Navigating Party Psychology and Behavioural Dynamics in Dispute Resolution

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Mediation increasingly requires psychological competence, as mediators regulate emotion, cognition and interaction within conflict systems. This study examines how mediators' psychological awareness and behavioural reflexivity shape conflict trajectories, advancing the concept of a behavioural architecture that transforms emotional volatility ...
Ali Almarri
wiley   +1 more source

Aproximación neuro-fuzzy para identificación de señales viales mediante tecnología infrarroja

Revista Iberoamericana de Automática e Informática Industrial RIAI, 2007
Resumen: En este artículo se presenta un sistema basado en tecnología infrarroja para la clasificación de marcas viales empleando un sistema Neuro-Fuzzy como herramienta de clasificación.
G.N. Marichal, E.J. González, L. Acosta, J. Toledo   +3 more
doaj   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Design of Adaptive Neural Fuzzy Controller for Speed Control of BLDC Motors

Majlesi Journal of Electrical Engineering
The purpose of this paper is to design an adaptive neuro-fuzzy controller to control the speed of the BLDC motor. This paper throws overall view of the performance of fuzzy PID controller and compares with fuzzy - adaptive neural controller.
Akbar Karimi Pouya
doaj