Search Results - (( intelligence system drops algorithm ) OR ( intelligence _ new algorithm ))
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Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm
Published 2023“…Complex networks; Drops; Forecasting; Iterative methods; Network architecture; Network layers; Optimization; Rivers; Stochastic models; Stochastic systems; Stream flow; Time series; Engineering applications; Gradient-decent algorithm; Intelligent Water Drops (IWD); Multi layer perceptron; Multi-layer perceptron neural networks; Optimization algorithms; Streamflow forecasting; Time series prediction; Multilayer neural networks…”
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Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network
Published 2023Subjects: “…Algorithms…”
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…The third algorithm, named as Pro-Active Intelligence algorithm has inspired autonomous action triggering for each event interoperation, using a control action statement that is generated by SOAP packets required for joint execution of tasks among heterogeneous subsystems. …”
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Artificial intelligent power prediction for efficient resource management of WCDMA mobile network
Published 2023Subjects:Conference Paper -
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Design and Development of Artificial Intelligence (Al)-Based Desicion Support System For Manufacturing Applications
Published 2016“…The collection of interpreted images is diverted from radiograph images captured using the old X-ray tube {Tube A) to the new X-ray tube (Tube B). Tube B images are needed to evaluate the performance of the developed defect detection algorithm under different radiography conditions. …”
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Monograph -
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Intelligent examination timetabling system using hybrid intelligent water drops algorithm
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Intelligent Examination Timetabling System Using Hybrid Intelligent Water Drops Algorithm
Published 2024Proceedings Paper -
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Conference Paper -
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A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines
Published 2017“…In recent years, a new discipline, known as artificial intelligence-based methods, has emerged, which allows the behavior of the system to be studied using operational data. …”
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Solving University Examination Timetabling Problem Using Intelligent Water Drops Algorithm
Published 2024“…IWD is a recent metaheuristic population-based algorithm belonging to swarm intelligent category which simulate river system. …”
Proceedings Paper -
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…This thesis presents an investigation of using the Intelligent Water Drops (IWD) algorithm to construct and produce good quality solutions for the UETP. …”
thesis::doctoral thesis -
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Inverse modeling of mass transferprocess in the RDC column by fuzzy approach
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Book Section -
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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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A New Bats Echolocation-based Algorithm for Single Objective Optimisation
Published 2016“…Bats sonar algorithm (BSA) as a swarm intelligence approach utilises the concept of echolocation of bats to find prey. …”
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Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications
Published 2026“…Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. …”
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Estimation-based Metaheuristics: A New Branch of Computational Intelligence
Published 2016“…In this paper, a new branch of computational intelligence named estimation-based metaheuristic is introduced. …”
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