Search Results - (( _ application drops algorithm ) OR ( based applications a algorithm ))*
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Intelligent examination timetabling system using hybrid intelligent water drops algorithm
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…In terms of the applications, The DCFP is more suitable to be used for education applications, while the SNBR is a good algorithm designed to be used for rescue system as data and energy is the main concern. …”
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Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
Published 2012“…The filter algorithm is based on an enhanced harmonic mean filter algorithm. …”
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On determination of input parameters of the mass transfer process by fuzzy approach.
Published 2005“…This is an extension of the work done on the mass transfer process of a single drop in single stage RDC column. The algorithm is based on fuzzy approach and the assumptions made in mass transfer process as adopted in previous work are also being used. …”
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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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Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
Published 2017“…A framework for the immune-based technique is discovered in this study. …”
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AntNet: a robust routing algorithm for data networks
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Applications and improvements to the HKA algorithm suggest that optimization algorithm based on estimation principle has a huge potential in solving a wide variety of optimization problems. …”
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Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm
Published 2025“…To address these problems, this paper introduces a novel hybrid approach for RUL prediction, combining a Lightning Search Algorithm (LSA) with a Long-Short Term Memory (LSTM) deep learning model. …”
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Quality of service management algorithms in WiMAX networks
Published 2015“…Because it is a wireless technology, in which resources are limited such as bandwidth and power; how to manage these resources while maintaining QoS to diverse applications become a critical issue. …”
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Benchmark simulator with dynamic environment for job scheduling in grid computing
Published 2014Get full text
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Synaptogenesis based bio-inspired NoC fault tolerant interconnects
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Vehicle pick-up and drop-off schedule optimization in a university setting
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Implementation of Biological Sprouting Algorithm for NoC Fault Tolerance
Published 2013Get full text
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