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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem
Published 2023“…Despite these advantages, the basic ABC algorithm has some drawbacks such as slow convergence, poor exploitation, and difficulty in finding the best solution among all feasible solutions in some cases. …”
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2
Dynamic Feedback Flow Control Algorithms for Unicast and Multicast Available Bit Rate Service in Asynchronous Transfer Mode Networks
Published 2000“…The simulation results show that the DRFC algorithm allocates the available bandwidth fairly among the contending ABR sources, while achieving high link utilisation with reasonable growth of queues. …”
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3
Optimization of supply chain management by simulation based RFID with XBEE Network
Published 2015“…In order to solve this problem, a simulation based “Multi-Colony Global Particle Swarm Optimization (MC-GPSO)” algorithm was developed. This algorithm computes the optimal results of objective functions in a scientific manner. …”
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4
Real time monitoring and controlling using Petri net algorithm for batch process plant / Mohamad Shaiful Osman
Published 2010“…This thesis searches the basic concepts and uses of the classical method Petri net algorithm in SCADA system to control and monitoring the process plant. …”
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5
An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…Several variants of PSO have been proposed for solving discrete optimization problems like TSP. Among them, the basic algorithm is the Swap Sequence based PSO (SSPSO), however, it does not perform well in providing high quality solutions. …”
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African Buffalo Optimization Algorithm for Tuning Parameters of a PID Controller in Automatic Voltage Regulators
Published 2016“…The highpoints of the ABO include its use of few parameters, constant interactions among the buffalos and the deployment of the exploration and exploitations mechanisms of the algorithm in every iteration. …”
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7
Development of cell formation algorithm and model for cellular manufacturing system
Published 2011“…The performance of the proposed algorithm is compared with a number of key algorithms that reported in the corresponding scientific literature. …”
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8
A novel spiral backoff mechanism for wireless sensor networks MAC protocol in smart grid system
Published 2015“…Carrier Sense Multiple Access-Collision Avoidance (CSMA-CA) with binary exponential backoff (BEB) algorithm is used as a technique to share the common wireless medium and avoids collision among the contending sensor nodes. …”
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Proceeding Paper -
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Bridging Mayer’s cognitive theory of multimedia learning and computational thinking in tackling the cognitive load issues among young digital natives : a conceptual framework
Published 2022“…This research focuses on CT concepts that will be integrated with Mayer’s CTML in designing the learning material for young digital natives. …”
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A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization
Published 2018“…This project aims to develop a hybrid prediction Model which can target specific corrosion damage mechanisms. The basic ANN Model will be improved by integrating the Particle Swarm Optimization (PSO) algorithm to achieve a better and optimal performance. …”
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A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization
Published 2018“…This project aims to develop a hybrid prediction Model which can target specific corrosion damage mechanisms. The basic ANN Model will be improved by integrating the Particle Swarm Optimization (PSO) algorithm to achieve a better and optimal performance. …”
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What stole Chinese older adults’ life satisfaction? Integrating medical statistics and machine learning with a life-course perspective using CHARLS data
Published 2026“…Conclusion: This study provides an integrated and stage-specific understanding of life satisfaction among older Chinese adults. …”
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African Buffalo Optimization Strategy for Tuning Parameters of a PID Controller in Automatic Voltage Regulators
Published 2016“…The highpoints of the ABO include its use of few parameters, constant interactions among the buffalos and the deployment of the exploration and exploitations mechanisms of the algorithm in every iteration. …”
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15
A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features
Published 2022“…Furthermore, using the basic features, TLSMalDetect achieved the highest accuracy of 93.69% by Naïve Bayes (NB) among the ML algorithms applied. …”
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One-dimension high-order compact method for solving euler's equation
Published 2010“…Among those most famous and relevant are based on flux vector splitting and Godunov-type schemes. …”
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Improving modified cocomo ii artificial neural network using hyperbolic tangent activation function
Published 2017“…Back-propagation learning algorithm is applied to the multilayer neural network for training and testing. …”
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Investigating computational thinking among primary school students in Terengganu using visual programming
Published 2022“…Several countries have introduced CT into the curriculum and Malaysia has taken a bold step to introduce it in 2017 by integrating it into the curriculum. Despite some CT studies have been conducted on the higher education, secondary schools and among the teachers in Malaysia, there is still a lack of studies especially among the primary school students within the context of visual programming. …”
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Interval type-2 fuzzy logic control optimize by spiral dynamic algorithm for two-wheeled wheelchair
Published 2020“…The completed model is then integrated with Matlab/Simulink for control design and performance evaluation through visualized simulations. …”
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Transtheoretical model of change for weight control in Malaysian context
Published 2010“…The findings of this study indicated that the basic constructs of the TIM: the Stages of Change, the Decisional Balance, the Self-Efficacy, and the integration between the Stages of Change, and the Decisional Balance, Stages of Change and the SelfEfficacy variables were generalizable to the study population. …”
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