Search Results - (( java implication _ algorithm ) OR ( network implementation plan algorithm ))
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Comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2023“…This requires fast computation time and selection of best restoration plan for customer's satisfaction. This paper presents a restoration algorithm based on a Rule-Based approach. …”
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Electricity distribution network for low and medium voltages based on evolutionary approach optimization
Published 2015“…The planning and operation of distribution networks are driven by several important factors of network designing. …”
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Thesis -
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A comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2008“…This requires fast computation time and selection of best restoration plan for customer’s satisfaction. This paper presents a restoration algorithm based on a Rule-Based approach. …”
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Conference or Workshop Item -
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One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network
Published 2012“…Hence, this indicates that Invasive Weed Optimization could be implemented as a new learning algorithm for an Artificial Neural Network.…”
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Student Project -
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Evolutionary Multiobjective optimization for automatic generation Of Neural game controller
Published 2013“…In this research, Genetic Algorithm (GA) is implemented in evolving the required controllers along with two different neural networks used namely: (1) Feed-forward Neural Network (FFNN) and (2) Elman Recurrent Neural Network (ERNN). …”
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Research Report -
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Optimal vehicle to grid planning and scheduling using double layer multi-objective algorithm
Published 2023“…Algorithms; Charging (batteries); Curve fitting; Electric load flow; Electric power systems; Electric vehicles; Energy management systems; Optimization; Reactive power; Real time control; Scheduling; Vehicles; Voltage control; Voltage regulators; Battery chargers; Bidirectional power flow; Multi objective algorithm; Optimization algorithms; Reactive power compensation; Real-time implementations; Revolutionary technology; Vehicle to grids; Electric power transmission networks; algorithm; electric vehicle; electricity supply; energy flow; energy planning; energy use; optimization; technological development…”
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Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…These quantum algorithms can be applied to solve routing problem in the quantum networks and the quantum multicomputer. …”
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Implementation of RIO in UMJaNetSim / Chan Chin We
Published 2004“…Besides that, network simulator can also perform a variety of functionalities such as network planning, network monitoring, protocol analyzer and so forth. …”
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A modified technique in RFID networking planning and optimization
Published 2015“…Additionally, the spread of the generated results is small. Keywords: RFID Network Planning, RFID Tag Coverage, Particle Swarm Optimization (PSO) Algorithm and Design of Experiment (DOE)…”
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GPS boundary navigation of DrosoBots using MATLAB simulation
Published 2010“…To implement this, region recognition and several path planning algorithms have been utilized. …”
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Proceeding Paper -
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Enhanced weight-optimized recurrent neural networks based on sine cosine algorithm for wave height prediction
Published 2021“…This paper proposes an enhanced weight-optimized neural network based on Sine Cosine Algorithm (SCA) to accurately predict the wave height. …”
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Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi
Published 2008“…Dijkstra's algorithm is one of the algorithms that could be used in network analysis process especially for 2D shortest route data. …”
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Efficient relay placement algorithm using landscape aware routing (erpalar)
Published 2011“…ERP ALAR was implemented in Matlab R2009a using Genetic Algorithm (GA) with multi-objectives. …”
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Applications of deep learning algorithms for supervisory control and data acquisition intrusion detection system
Published 2022“…In this paper, we have examined and presented the most recent research on developing robust IDSs using Deep Learning (DL) algorithms, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Stacked Autoencoders (SAE), and Deep Belief Networks (DBN). …”
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Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah
Published 2019“…Especially when it related to wastage of energy towards environment treats and resources cost. Planning the path of the mobile robot by using Convolutional Neural Network (CNN) is important in optimizing the cost in terms of energy, time and human intervention force. …”
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A Focal load balancer based algorithm for task assignment in cloud environment
Published 2019“…Proficient load balancing plan guarantees effective resource usage by the supply of resources to cloud user's on-demand premise and it might even help organizing clients by applying fitting planning criteria the current paper discusses and implements the concept of load balancers, which are the lifeblood of any cloud computing network. …”
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Conference or Workshop Item -
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An algorithm for navigation of mobile robots in cluttered environments
Published 2013“…This article introduces a new decision mechanism for path planning in indoors e.g., home, and office. A method is presented for implementing sub-goal network together with wall following. …”
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