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Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems
Published 2024“…It also has a higher effectiveness than some other swarm intelligence algorithms. Furthermore, it provides optimal solutions for several benchmark TSP problems.…”
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Intelligent PID Controller Tuned by Bacterial Foraging Optimization Algorithm for Vibration Suppression of Horizontal Flexible Structure
Published 2022“…BFO is a metaheuristic approach categorized as an evolutionary algorithm recently developed, and a nature-inspired optimization algorithm. …”
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Hybrid intelligent approach for network intrusion detection
Published 2015“…Hence, there must be substantial improvement in network intrusion detection techniques and systems. Due to the prevailing limitations of finding novel attacks, high false detection, and accuracy in previous intrusion detection approaches, this study has proposed a hybrid intelligent approach for network intrusion detection based on k-means clustering algorithm and support vector machine classification algorithm. …”
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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem
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Speed control of separately excited dc motor using artificial intelligent approach
Published 2013“…This paper presents the ability of Artificial Intelligent Neural Network ANNs for the separately excited dc motor drives. …”
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Towards designing a high intelligibility rule based standard malay text-to-speech synthesis system
Published 2008“…This paper presents a rule-based text- to- speech synthesis system for Standard Malay, named SMaTTS. …”
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Dengue classification system using clonal selection algorithm / Karimah Mohd
Published 2012“…Some popular intelligent techniques like Genetic Algorithm, Fuzzy Logic and Artificial Neural Network are often used by reasearcher to perform classifcation problems. …”
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A new machine learning-based hybrid intrusion detection system and intelligent routing algorithm for MPLS network
Published 2023“…This thesis proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”
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Simulation and Design of an Intelligent Mobile Robot for Fire Fighting
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Malaysian license plate number detection based on sobel vertical edge algorithm / Siti Nor Azimah Ibrahim
Published 2007“…A License Plate Recognition (LPR) System is one kind of Intelligent Transport systems and is of considerable interest because of its potential applications to areas such as highway electronic toll collection, Traffic Monitoring System and so on. …”
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The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
Published 2006“…To ensure the performance of the system, some experiments are done by adjusting the network parameters of the back propagation training algorithm. …”
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Nature-Inspired cognitive evolution to play Ms. Pac-Man
Published 2011“…The experimental results show that an ES-based system can be successfully applied to automatically generate artificial intelligence for a complex, dynamic and highly stochastic video game environment.…”
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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…The intelligent algorithm ML-ADR fault classifier model could discriminate 10 different far-end short circuit fault types from two network topology changes with and without midpoint integrated STATCOM on the Matlab/Simulink power grid system model. …”
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A review on the applications of PSO-based algorithm in demand side management: Challenges and opportunities
Published 2023“…Therefore, this paper reviewed the application of the PSO-based algorithm in DSM fields with some constraints and discussed the challenges from the previous work. …”
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On-board real time vision based sensor implementation on UAV for features detection technique of low altitude mapping / Nor Hashim Mohd Arshad … [et al.]
Published 2014“…It is a difficult task for a remotely operated aerial vehicle to manoeuvre and navigate effectively over an area to perform some tasks. Putting some form of intelligence into the control system of the aerial vehicle and combining it with a good detection system will be helpful to automate the manoeuvre and navigation. …”
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