Results 31 to 40 of about 18,833,020 (162)

RSM–ANFIS‐Based Process Optimization of Thermo‐Sonication of Amla Juice: Effect on Enzyme Inactivation, Physico‐Chemical, Phytochemical, Sensory, and Microbiological Quality

Food Chemistry International, EarlyView.
Thermo‐sonication parameters were optimized to maximize PPO inactivation while maintaining overall juice quality. ANFIS demonstrated superior predictive accuracy with higher R2 and lower RMSE compared to RSM. Further, the quality assessment of treated juice highlighted the potential of thermo‐sonication as a sustainable alternative to conventional ...
Sumaiya Fatima, Vivek Kumar
wiley   +1 more source

Prediction of Soil Fragmentation During Tillage Operation Using Adaptive Neuro Fuzzy Inference System (ANFIS)

Journal of Agricultural Machinery, 2014
Suitable soil structure is important for crop growth. One of the main characteristics of soil structure is the size of soil aggregates. There are several ways of showing the stability of soil aggregates, among which the determination of the median weight
R Sedghi, Y Abbaspour Gilandeh
doaj   +1 more source

Using an adaptive fuzzy-logic system to optimize the performances and the reduction of chattering phenomenon in the control of induction motor [PDF]

Serbian Journal of Electrical Engineering, 2009
Neural networks and fuzzy inference systems are becoming well recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance.
Barazane Linda, Khwaldeh Ali, Krishan Suboh Mohammed Monzer, Sicard Pierre   +3 more
doaj   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

Multi-step ahead direct prediction for machine condition prognosis using regression trees and neuro-fuzzy systems [PDF]

, 2009
This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead ...
Yang, Bo-Suk, Tan, Andy Chit Chiow, Tran, Van Tung, Tran, Van, Tan, Andy   +4 more
core   +1 more source

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

Sustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley   +1 more source

Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board

Majlesi Journal of Electrical Engineering
In this paper, an intelligent adaptive controller is designed to handle the transmission time delay problem in a complex and nonlinear bilateral teleoperation system with force feedback.
Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim   +3 more
doaj   +1 more source

Regression‐based models for the torsional stiffness reduction factor in reinforced concrete beams under combined torsion and shear

Structural Concrete, EarlyView.
Abstract This paper presents a regression‐based methodology to estimate the Torsional Stiffness Reduction Factor (TSRF) of reinforced concrete beams under combined torsion and shear. A numerical database of 6816 samples was generated using the Combined Action Softened Truss Model (CA‐STM) implemented in Python, considering design guidelines prescribed ...
Khrys K. S. Medeiros, Jordlly R. B. Silva, Bernardo Horowitz   +2 more
wiley   +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 an ...
Yu, H., Dahal, Keshav P., Hossain, M. Alamgir, Madkour, A.A.M.   +3 more
core   +4 more sources

An Intelligent System for Load Forecasting on a Distribution Network

Journal of Digital Food, Energy & Water Systems, 2021
This paper presents an Adaptive Neuro-Fuzzy Inference system (ANFIS) technique for medium-term load forecasting in a distribution network. This technique is an integrated system consisting of fuzzy logic systems and Artificial Neural network (ANN).
Saheed Gbadamosi, Ojo Olukayode Adedayo   +1 more
doaj   +1 more source