Search Results - (( flow encryption algorithm ) OR ((( flow evolution algorithm ) OR ( _ function algorithm ))))
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Multiobjective differential evolution algorithm-based sizing of a standalone photovoltaic water pumping system
Published 2023“…Algorithms; Costs; Evolutionary algorithms; Flow of water; Life cycle; Meteorology; Multiobjective optimization; Optimization; Probability; Pumping plants; Pumps; Solar power generation; Differential Evolution; Lifecycle costs; Meteorological data; Multi-objective differential evolution algorithms; Objective functions; Photovoltaic; Photovoltaic water pumping; Solar waters; Loss of load probability…”
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Channel-aware downlink scheduling for quality of service in long term evolution network
Published 2018“…The output results indicate that the proposed DoRA scheduling algorithm outperforms DBWPF in providing a minimum level of end-to-end delay.…”
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Economic power dispatch solutions incorporating stochastic wind power generators by moth flow optimizer
Published 2023“…This study's primary purpose is to apply state-of-the-art variations of the differential evolution (DE) algorithm for single-objective optimization and selected evolutionary algorithms for multi-objective optimization issues in power systems. …”
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Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
Published 2006“…Optimal power flow (OPF) is one of the main functions of power system operation and control. …”
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Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm
Published 2006“…There are many researchers used Data Encryption Standard (DES) Algorithm to implement in FPGAs. …”
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Monograph -
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Direct Tuning Phase-Shift Angle In Dab Dc-Dc Converter Using Moth Flame Optimization (Mfo) Algorithm
Published 2022“…With aforementioned results, the MFO algorithm have well-functioning in DAB system.…”
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Undergraduates Project Papers -
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Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons
Published 2018“…The rolling mechanism method is applied to smooth out the dataset based on the antecedent values of the model inputs before being applied to the GM algorithm. The optimization of the input datasets selection was performed using auto-correlation (ACF) and partial auto-correlation (PACF) functions. …”
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Database encryption for a Web-based Claims System
Published 2008“…On the other hand, the analysis of encryption algorithms with Web browsers, the results have shown that Twofish algorithm is best suited to the system that has been developed using ASP Web programming language on Internet Explorer. …”
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Thesis -
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Error concealment technique using wavelet neural network for wireless transmitted digital images
Published 2012“…Continuous flow to send images via encrypted wireless channels may reduce the efficiency of transmission. …”
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A Machine Learning Classification Approach To Detect Tls-Based Malware Using Entropy-Based Flow Set Features
Published 2022“…Furthermore, the outliers and frequency-based flow feature transformations (FTT) applied to mitigate the poor flow feature have several flaws. …”
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Campus safe: Safeguarding GPS-based Physical Identity and Access Management (PIAM) system with a lightweight Geo-Encryption
Published 2022“…Subsequently, this project embedded with a lightweight Geo-Encryption algorithm to preserve the privacy of real-time GPS location. …”
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Academic Exercise -
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Application of dynamic mesh to model surface evolution under solid particles erosion in positive choke geometries
Published 2026“…The novel dynamic mesh algorithm has preserved high mesh quality and ensured convergence during geometry deformation, regardless of time step size or deformation magnitude. …”
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POISSON EQUATION FOR ELECTROSTATIC FIELD USING THE FINITE DIFFERENCE METHOD
Published 2019“…The basic main equations are derived directly so that the algorithm can be extended from the classical Poisson equation to the generalized Poisson equation in order to include the effects of varying dielectrics within the domain. …”
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Final Year Project Report / IMRAD -
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Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus
Published 2003“…This project proposed on an investigation on the voltage stability margin identification using evolution programming learning algorithm. A multilayer feed-forward artificial neural network (ANN) with evolution programming learning algorithm for calculation of voltage stability margins (VSM). …”
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Thesis -
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Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
Published 2016“…The main objective of this research is designing a Special Protection and Control Scheme (SPCS) based on a hybrid approach of combining Differential Evolution (DE) and Electromagnetism-Like algorithms. …”
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Performance analysis of uplink scheduling algorithms in the urban and rural environments in LTE / Shafinaz Ismail, Darmawaty Mohd Ali and Norsuzlia Ya'acob
Published 2018“…The simulation results show that RR algorithm always reaches the lowest PLR among those strategies and RR is the most suitable scheduling algorithms for VoIP and video flows while FME is better for BE flows in both urban and rural environment in LTE networks.…”
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An implementation of differential evolution algorithm for a single product and single period multi-echelon supply chain network model
Published 2018“…In this paper, five variants of Differential Evolution (DE) algorithms are proposed to solve the multi-echelon supply chain network optimization problem. …”
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A New Hybrid Approach Based On Discrete Differential Evolution Algorithm To Enhancement Solutions Of Quadratic Assignment Problem
Published 2020“…With QAP, each facility is allocated to just one location, thereby reducing cost in terms of aggregate distances weighted by flow values. The primary aim of this study is to propose a hybrid approach which combines Discrete Differential Evolution (DDE) algorithm and Tabu Search (TS) algorithm to enhance solutions of QAP model, to reduce the distances between the locations by finding the best distribution of N facilities to N locations, and to implement hybrid approach based on discrete differential evolution (HDDETS) on many instances of QAP from the benchmark. …”
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