Kalman filtering techniques for the online model parameters and state of charge estimation of the Li-ion batteries: A comparative analysis
The state of charge (SoC) is the most commonly used performance indicator of battery used
in various applications. A chronic erroneous estimation of battery SoC may result in constant …
in various applications. A chronic erroneous estimation of battery SoC may result in constant …
A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods
Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems
using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude …
using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude …
Intelligent traffic-monitoring system based on YOLO and convolutional fuzzy neural networks
CJ Lin, JY Jhang - IEEE Access, 2022 - ieeexplore.ieee.org
With the rapid pace of urbanization, the number of vehicles traveling between cities has
increased significantly. Consequently, many traffic-related problems have emerged, such as …
increased significantly. Consequently, many traffic-related problems have emerged, such as …
Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) …
YJ Wong, SK Arumugasamy, CH Chung… - Environmental …, 2020 - Springer
Presence of copper within water bodies deteriorates human health and degrades natural
environment. This heavy metal in water is treated using a promising biochar derived from …
environment. This heavy metal in water is treated using a promising biochar derived from …
Enhancing EDM performance characteristics of Inconel 625 superalloy using response surface methodology and ANFIS integrated approach
D Sharma, A Bhowmick, A Goyal - CIRP Journal of Manufacturing Science …, 2022 - Elsevier
The objective of the present work is to find out the optimal level as well as the influence of
the electrical discharge machining (EDM) process on material removal rate (MRR), surface …
the electrical discharge machining (EDM) process on material removal rate (MRR), surface …
An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids
Hybrid nanofluids are better heat transfer fluids than conventional nanofluids because of the
combined properties of two or more nanoparticles. In this study, the thermal conductivity of Al …
combined properties of two or more nanoparticles. In this study, the thermal conductivity of Al …
Manufacturing catalyst-coated membranes by ultrasonic spray deposition for PEMFC: Identification of key parameters and their impact on PEMFC performance
Z Turtayeva, F Xu, J Dillet, K Mozet, R Peignier… - International Journal of …, 2022 - Elsevier
This study deals with the manufacturing of catalyst-coated membranes (CCMs) for
newcomers in the field of coating. Although there are many studies on electrode ink …
newcomers in the field of coating. Although there are many studies on electrode ink …
[HTML][HTML] Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system …
In recent years, machine learning (ML) techniques have been developed to predict the
performance of anaerobic digestion (AD) processes including methane potential and reactor …
performance of anaerobic digestion (AD) processes including methane potential and reactor …
Optimizing deep neuro-fuzzy classifier with a novel evolutionary arithmetic optimization algorithm
Abstract Deep Neuro-Fuzzy System has been successfully employed in various
applications. But, the model faces two issues:(i) dataset with many features exponentially …
applications. But, the model faces two issues:(i) dataset with many features exponentially …
Performance evaluation of the impact of clustering methods and parameters on adaptive neuro-fuzzy inference system models for electricity consumption prediction …
Increasing economic and population growth has led to a rise in electricity consumption.
Consequently, electrical utility firms must have a proper energy management strategy in …
Consequently, electrical utility firms must have a proper energy management strategy in …