Search Results - (( re evaluation model algorithm ) OR ( panel automation system algorithm ))
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Integration Of Machine Vision In Industrial Robot For Automated Composite Panel Punching
Published 2018“…Position and rotation of panels are compared to three coordinate systems which are camera, workpiece and machining center. …”
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The implementation of fault management in distribution system using distribution automation system (DAS) in conjunction with SCADA
Published 2012“…Therefore, the implementation of proper fault management is highly important to be utilized such as by applying automation system in distribution system. Up to date, in Malaysia there is no automation technique being used for maintenance work in distribution system. …”
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A real-time integrated fire detection and alarm (FDA) system for network based building automation
Published 2017“…This work proposes an improved framework for FDA system to ensure a robust, intelligent network of FDA control panels in real-time. …”
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Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh
Published 2019“…The maximum RE obtained is 3.49%. The modelling results revealed that NARX algorithm is the best compared to the used algorithms in term of accuracy. …”
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State-Aware re-configuration model for multi-radio wireless Mesh Networks
Published 2017“…The proposed algorithm re-assigns channels to radios and re-configures flows’ routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. …”
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Network-based real-time integrated Fire Detection and Alarm (FDA) system with building automation
Published 2017“…This work proposes an improved framework for FDA system to ensure a robust intelligent network of FDA control panels in real-time. …”
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Implementation of hashed cryptography algorithm based on cryptography message syntax
Published 2019“…The important study in this research is an automated learning system for deep learning to enhance security. …”
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Advanced solar tracking system with temperature control and real-time monitoring
Published 2025“…These algorithms dynamically control the servo motor, relay module, and LCD display, adapting the system based on environmental conditions. …”
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Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems
Published 2008“…GDF and GSF controllers are evaluated for two test cases namely “two-part-type production line” and “re-entrant production system”. …”
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Sustainable renewable energy resources utilization in rural areas
Published 2016“…Results obtained from the transportation model have been validated based on other RE studies in the area. …”
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Sustainable renewable energy resources utilization in rural areas
Published 2016“…Results obtained from the transportation model have been validated based on other RE studies in the area. …”
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Segmentation of MRI brain images using statistical approaches
Published 2011“…Moreover, three improvements of EM for brain MRI segmentation are proposed, which incorporate neighbourhood information in a new manner in the clustering process. In addition, two algorithms for the post-processing of clustering results using user-interaction and the re-evaluation of boundary data in each cluster are presented. …”
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A hybrid grey wolf assisted-sparrow search algorithm for frequency control of RE integrated system
Published 2023“…Moreover, the robustness of the proffered method is also evaluated under the random varying load, variation of HPS system parameter, and weather intermittency of RE resources in real-time conditions. …”
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ReSTiNet: An efficient deep learning approach to improve human detection accuracy
Published 2023“…The developed ReSTiNet contains fire modules by evaluating their number and position in the network to minimize the model parameters and network size. …”
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Weather prediction system using ANN algorithm / Nur Afiqah Ahmad Sukri
Published 2024“…The data is preprocessed, labeled, and split into training and testing sets which are 80% for training and 20% for testing. The ANN model consists of three layers with ReLU and softmax activations and is trained using the backpropagation algorithm. …”
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ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy
Published 2023“…The developed ReSTiNet contains fire modules by evaluating their number and position in the network to minimize the model parameters and network size. …”
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Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia
Published 2018“…The RE results also prove that the SVM model’s frequency of errors above 10% or below − 10% was greater than the NAR model’s. …”
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ReSTiNet : An efficient deep learning approach to improve human detection accuracy
Published 2023“…The developed ReSTiNet contains fire modules by evaluating their number and position in the network to minimize the model parameters and network size. …”
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An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir
Published 2016“…The second method is automatic optimization using Genetic Algorithm. That depends on the principle of natural selection as proposed by Darwin The genetic program was coupled with the reservoir flow model to re-evaluate the chosen wells at each iteration until obtaining the optimal choice. …”
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