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Improvement on agglomerative hierarchical clustering algorithm based on tree data structure with bidirectional approach
Published 2024Conference Paper -
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Proposal for ontology based approach to fuzzy student model design
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Mobile First-Person Shooter (FPS) Game Using Basic Theta* Algorithm / Muhammad Syurahbil Abd Rohaman
Published 2020“…On a smaller game map, the algorithm still takes an acceptable computing time but on a larger size map, the computation time suffers a lot. …”
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Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
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Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
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Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
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A dataglove hardware design and real-time sign gesture interpretation.
Published 2023Conference Paper -
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Fault detection with optimum March Test Algorithm
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An introduction to swarming robotics: application development trends
Published 2013“…In addition, the existing algorithms are computationally complicated, difficult to be understood by beginners as there are too many parameters. …”
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Adaptive mechanism for enhanced performance of shark smell optimization / Nur Atharah Kamarzaman, Shahril Irwan Sulaiman and Intan Rahayu Ibrahim
Published 2021“…Numerical results indicate that the ASSO algorithm strategy outperforms the basic SSO algorithm, Genertic Algorithm (GA), Particle Swarm Intelligence (PSO), Firefly Algorithm (FA), Artificial Bee Colony (ABC) and Teaching Learning Based Optimization (TBLO) in term of reaching for global solution.…”
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Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
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African Buffalo Optimization: A Swarm-Intelligence Technique
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer
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Research on the construction of English intelligent classroom based on Artificial Intelligence
Published 2018“…Due to the uncertainty of emotions, traditional machine learning algorithms may not handle this uncertain inference problem well while probability theory provides us with the basic foundation to model the uncertainty of emotions. …”
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