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1
1D Multigrid Solver For Finite Element Method
Published 2022“…Next, the algorithm was modified by using a new Gauss-Seidel function. …”
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Monograph -
2
Combined heat and power (CHP) economic dispatch solved using Lagrangian relaxation with surrogate subgradient multiplier updates
Published 2023“…This paper presents a flexible algorithm to solve the combined heat and power (CHP) economic dispatch problem. …”
Article -
3
A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…Third, using a modified k-Nearest Neighbor method as well as an improved method of backpropagation neural networks, the classification process was advanced based on optimum arrays of the features selected by genetic algorithms. …”
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4
Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…The prototype of SEM is constructed based on the modern Smart Meter design and modified with additional control devices and sensors, so that it can measure, record and transfer the data using designated algorithm combining three types of communication system in one device; Wi-Fi, GSM and RF. …”
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Thesis -
5
Identification of continuous-time model of hammerstein system using modified multi-verse optimizer
Published 2021“…his thesis implements a novel nature-inspired metaheuristic optimization algorithm, namely the modified Multi-Verse Optimizer (mMVO) algorithm, to identify the continuous-time model of Hammerstein system. …”
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6
Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong
Published 2018“…The computational results show that the algorithms which implement this new formulation are able to produce better solutions. …”
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7
An immune-genetic algorithm with tabu local search for network intrusion detection system / Hamizan Suhaimi
Published 2021“…This issue highlights the need to tackle the network intrusion problem efficiently. This research aim is to study the performance of an improvised Genetic Algorithm (GA) by formulating its problem-specific algorithm for network intrusion problem. …”
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8
Investigation On Optical Fibre Configurations For Process Tomography
Published 2002“…Linear back projection (LBP) algorithm is used to reconstruct the image. A modified reconstruction algorithm combining LBP and a priori knowledge is outlined. …”
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Article -
9
Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system
Published 2023“…Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyper-parameter for DNN using a metaheuristic optimization algorithm, arithmetic optimization algorithm (AOA). …”
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10
Fuzzy state space modeling for solving inverse problems in multivariable dynamic systems
Published 2005“…To facilitate the implementation of these algorithms, a semi-automated computational tool using Matlab® programming facilities is developed. …”
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Thesis -
11
A modified technique in RFID networking planning and optimization
Published 2015“…In this research, PSO algorithm was used in the optimization process as it was considered as a very useful, efficient and well known algorithm. …”
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12
Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system
Published 2023“…Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyper�parameter for DNN using a metaheuristic optimization algorithm, arithmetic optimization algorithm (AOA). …”
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Article -
13
Local-based stereo matching algorithm using multi-cost pyramid fusion, hybrid random aggregation and hierarchical cluster-edge refinement
Published 2023“…In this thesis, the accuracy of the proposed algorithm was evaluated using two standard online benchmarking database systems. …”
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14
Cloud Co-Residency Denial of Service Threat Detection Inspired by Artificial Immune System
Published 2024“…A review of the literature shows that there is still a lack of works on cloud IDS that focused on implementing real-time hybrid detections using Dendritic Cell algorithm (DCA) as a practical approach. …”
Proceedings Paper -
15
Cloud co-residency denial of service threat detection inspired by artificial immune system
Published 2024journal::journal article -
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An improved narrowband active noise control system without secondary path modelling based on the time domain
Published 2019“…There are several available ANC algorithms that do not require secondary path estimation for modifying the FxLMS algorithms. …”
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17
Cloud co-residency denial of service threat detection inspired by artificial immune system
Published 2018“…A review of the literature shows that there is still a lack of works on cloud IDS that focused on implementing real-time hybrid detections using Dendritic Cell algorithm (DCA) as a practical approach. …”
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Proceeding Paper -
18
Spacecraft sun-pointing using coplanar solar panels data and magnetic field measurements
Published 2013“…The controller for the sun-pointing mode is based on Modified State-Dependent Riccati Equation MSDRE, developed previously by the author to solve a trajectory tracking/model following problem. …”
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Proceeding Paper -
19
Comparison performances between MABSA-PI controller and MABSA-PD controller for DC motor position system
Published 2023“…Modified adaptive bats sonar algorithm (MABSA) will be implemented in the PI controller and PD controller as the main algorithm. …”
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20
Implementation and simplification of an Output Shifted Coding Modulation (OSCM) on a high speed DSP processor / Roslina Mohamad, Wan Nor Syafizan Wan Muhamad and Rosmalini Abdul Ka...
Published 2009“…The new coded modulation is called as Output Shifted Coding Modulation (OSCM). This algorithm also shows that by using low constraint length convolutional component codes, it can outperform the convolutional codes using Viterbi decoders with much higher constraint lengths. …”
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