Search Results - adaptive operational differences ((evolutionary algorithm) OR (detection algorithm))
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…Hybridization in evolutionary algorithm mechanisms such as initialization methods, local searches, specific design operators, and self-adaptive parameters enhance the algorithm’s performance. …”
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Benchmark studies on Optimal Reactive Power Dispatch (ORPD) Based Multi-Objective Evolutionary Programming (MOEP) using Mutation Based on Adaptive Mutation Operator (AMO) and Polyn...
Published 2016“…These parameters tend to change the characteristic of adaptive in different stages of evolutionary process. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…Moreover, this work is extended to integrate the SPX crossover operator with the adaptive ARDE algorithm in a new way of implementation in order to make the adaptive ARDE algorithm satisfy both the global and local search requirements. …”
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Enhancing solid oxide fuel cell efficiency through advanced model identification using differential evolutionary mutation fennec fox algorithm
Published 2025“…An ideal model should be adaptable to varying operating pressures and temperatures. …”
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Adaptive DNA computing algorithm by using PCR and restriction enzyme
Published 2004“…In this paper, we introduce a new adaptive DNA coinpitting algorithm by using Poiymcruse Chain Rearlion (PCR). …”
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Adaptive edge detection and image filtering using light sensor
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Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki
Published 2019“…On the other hand, the implementation of conventional direct MPPT technique causes oscillation in MPP tracking due to the perturbative nature of the algorithms. Otherwise, the soft-computation MPPT methods by evolutionary algorithms such as Particle Swarm Optimization (PSO) algorithm require longer tracking time to prevent the false MPP tracking convergence. …”
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Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…The current Adaptive Protection Scheme (APS) motivation focused on the accurate relay operation setting changes based on the prevailing grid system configuration variations. …”
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An adaptive face recognition under constrained environment for smartphone database
Published 2018“…In addition, this study aims to improve the performance of the face recognition method under the effect of different optical zooms by detecting the normalised facial feature region using the proposed facial feature region normalisation method. …”
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Towards real-time visual biometric authentication using human face for healthcare telepresence mobile robots
Published 2016“…The biometric system proposed with hybrid algorithm at each module adapts for face images detected at different distances, poses and lighting condition. …”
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A New Method Of Speed Sensorless Control For Permanent Magnet Synchronous Motor
Published 2019“…This new speed sensorless control is based on model reference adaptive system (MRAS) with a new adaptation scheme. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We also introduce a dynamic analysis method, AndroPsychology, in order to analyse the network communications of Android applications. We extracted 30 different features from network traffic. We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Through ST adaptation, all subsystems were integrated and using the “Dijkstra’s algorithm” (DA) by modifying its function from shortest path algorithm to safest and shortest algorithm, to the nearest exit. …”
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An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa
Published 2018“…Inclusive with the design of UFLS is a new module referred as Load Shedding Module (LSM). Two new algorithms i.e., Load Classification based Fuzzy Logic (LCFL) and Binary Evolutionary Programming (BEP) are introduced in the module. …”
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Real-time time series error-based data reduction for internet-of-things applications
Published 2018“…This work differs from existing PIP in the sense that, we have devised a real-time data reduction algorithm namely error-based PIP Data Reduction (PIPE), that operates with a single value configuration; error rate, which can be used with various sensor data without any priori analysis required. …”
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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…These parameters are used to develop a standalone intelligently machine learning adaptive distance relay (ML-ADR) modification. The intelligent algorithm ML-ADR fault classifier model could discriminate 10 different far-end short circuit fault types from two network topology changes with and without midpoint integrated STATCOM on the Matlab/Simulink power grid system model. …”
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IMPROVING QoS OF VoWLAN VIA CROSS-LAYER BASED ADAPTIVE APPROACH
Published 2013“…On the other hand, WLAN operates based on IEEE 802.11 standards that support Link Adaptive (LA) technique. …”
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Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS)
Published 2020“…This Enhance Intra-Cluster HEED (EICHEED) proposed an adaptive routing that are suitable for MASNETs. Different experiments have been done using different parameters and numbers of results have been achieved to analyze the performance of algorithm. …”
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