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181
Torque Split Strategy for Parallel Hybrid Electric Vehicles with an Integrated Starter Generator
Published 2014-01-01“…This paper presents a torque split strategy for parallel hybrid electric vehicles with an integrated starter generator (ISG-PHEV) by using fuzzy logic control. By combining the efficiency map and the optimum torque curve of the internal combustion engine (ICE) with the state of charge (SOC) of the batteries, the torque split strategy is designed, which manages the ICE within its peak efficiency region. …”
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182
A Soft Computing Approach to Crack Detection and Impact Source Identification with Field-Programmable Gate Array Implementation
Published 2013-01-01“…The CDISI fuzzy inference system is developed using MATLAB’s fuzzy logic toolbox. A VLSI circuit for CDISI is developed on basis of fuzzy logic model using Verilog, a hardware description language (HDL). …”
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183
Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach
Published 2016-01-01“…Fuzzy rule is used in fuzzy logic part that inputs to form clusters. NFEACS is designed for WSN handling mobility of node. …”
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184
Estimation of Performance Indices for the Planning of Sustainable Transportation Systems
Published 2013-01-01“…The fuzzy logic modeling approach enables the treatment of the vagueness associated with some of the relevant data. …”
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185
A multi-source data-driven approach for navigation safety integrating computational intelligence and Bayesian networks
Published 2025-02-01“…To reduce the impact of these risks on ships and crews, this paper proposes a navigation risk assessment method that integrates computational intelligence (CI) techniques, such as fuzzy logic, with Bayesian networks (BNs) and utility theory. …”
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186
Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique
Published 2019-01-01“…Severity of faults detected by fuzzy logic-based key gas method is evaluated through the use of collected data from several in-service and faulty transformers. …”
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187
Relational Demonic Fuzzy Refinement
Published 2014-01-01“…Our definitions and properties are illustrated by some examples using mathematica software (fuzzy logic).…”
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188
Trusted fuzzy routing scheme in flying ad-hoc network
Published 2024-03-01“…Fuzzy logic can manage complicated settings by classifying nodes based on various criteria. …”
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189
Smartphone Household Wireless Electroencephalogram Hat
Published 2013-01-01“…During the design phase, we took tethered laboratory EEG dataset and applied fuzzy logic to compute (a) spatiotemporal average of larger magnitude EEG data centers in 0.3 second intervals and (b) inside brainwave sources by Independent Component Analysis blind deconvolution without knowing the impulse response function. …”
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190
Through-Wall Image Enhancement Using Fuzzy and QR Decomposition
Published 2014-01-01“…QR decomposition and fuzzy logic based scheme is proposed for through-wall image enhancement. …”
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191
T-S Fuzzy Control of Uncertain Chaotic Vibration
Published 2012-01-01“…We present in this paper a novel and unified control approach that combines intelligent fuzzy logic methodology with predictive method for controlling chaotic vibration of a class of uncertain chaotic systems. …”
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192
Capture of 3D Human Motion Pose in Virtual Reality Based on Video Recognition
Published 2020-01-01“…An adaptive adjustment method based on fuzzy logic is proposed. The acceleration, angular velocity, and geomagnetic field strength of the environment are used as the input of fuzzy logic to judge the motion state of the carrier and then adjust the covariance matrix of the filter. …”
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193
Why Are FGM Copulas Successful? A Simple Explanation
Published 2018-01-01“…As an auxiliary result, we also show that a similar explanation can be given in terms of fuzzy logic.…”
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194
Prescribed Performance Synchronization Control of Chaotic Systems with Unknown Control Gain Signs
Published 2021-01-01“…Here, Nussbaum function is used to eliminate the influence of unknown control gain signs, and fuzzy logic systems are used to estimate unknown functions. …”
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195
An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions
Published 2018-01-01“…The comparison shows that the fuzzy logic controller exhibits a much better behavior.…”
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196
Robust Adaptive Fuzzy Control of Chaos in the Permanent Magnet Synchronous Motor
Published 2010-01-01“…An adaptive fuzzy control method is developed to control chaos in the permanent magnet synchronous motor drive system via backstepping. Fuzzy logic systems are used to approximate unknown nonlinearities, and an adaptive backstepping technique is employed to construct controllers. …”
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197
A Fuzzy Genetic Algorithm Based on Binary Encoding for Solving Multidimensional Knapsack Problems
Published 2012-01-01“…The second technique focuses on controlling the genetic parameters by applying the fuzzy logic controller. Computational experiments are conducted on the proposed techniques and the results are compared with other genetic operators, heuristics, and local search algorithms commonly used for solving multidimensional 0/1 knapsack problems published in the literature.…”
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198
Application of Data Clustering Embedded in Fuzzy Classifier Expert System for Water Quality Recognition
Published 2013-05-01“…@JASEM Keywords: Fuzzy classifier, fuzzy logic, fuzzy set, Water J. Appl. Sci. Environ. …”
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199
Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis
Published 2018-01-01“…An adaptive fuzzy synchronization controller is designed for a class of fractional-order neural networks (FONNs) subject to backlash-like hysteresis input. Fuzzy logic systems are used to approximate the system uncertainties as well as the unknown terms of the backlash-like hysteresis. …”
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200
Implementation of the C4.5 Algorithm in Predicting the Interest of Prospective Students in Choosing Higher Education
Published 2025-01-01“…This deep artificial intelligence concept, which we will use in addition to fuzzy logic, by applying Fuzzy c - means for good training can enable the decision-maker a better governance policy.…”
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