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A fuzzy-active force based control architecture for characterizing a nonlinear MIMO system / Tengku Luqman Tengku Mohamed
Published 2016“…The intelligent hybrid control algorithm also significantly improves the system overshoot, rise time and settling time apart from its adaptability towards disturbances as compared to its traditional counterpart.…”
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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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Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…To provide intelligent personalized online services such as web recommender systems, it is usually necessary to model users’ web access behavior. …”
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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm
Published 2025“…The increasing complexity of modern plant systems and the limitations of precise mathematical modeling have led to a shift towards data-driven control methods. …”
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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm
Published 2025“…The increasing complexity of modern plant systems and the limitations of precise mathematical modeling have led to a shift towards data-driven control methods. …”
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…On the other hand, process planning optimization for reconfigurable manufacturing is not amenable to classical modeling approaches due to the presence of complex system dynamics. …”
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An exploration technique for the interacted multiple ant colonies optimization framework
Published 2024Conference Paper -
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A preliminary lightweight random forest approach-based image classification for plant disease detection
Published 2022“…In recent years, the rapid development of environmental sensors and artificial intelligence is changing the traditional mode of agricultural production and moving towards intelligent and efficient precision agriculture. …”
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Modelling and Control of Ankle Foot Orthosis (AFO) for Children Utilising Soft Computing Towards Intelligent Approach
Published 2024“…Therefore, this research presents the development of a dynamic system and controller of AFO. In order to accurately reflect the system dynamics, a prototype AFO model for kids was created and constructed. …”
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Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation
Published 2025“…This study introduces a new approach for parameter optimization in the four-diode photovoltaic (PV) model, employing a Dynamic Fitness-Guided Particle Swarm Optimization (DFGPSO) algorithm and Enhanced Newton-Raphson (ENR) method. …”
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Intelligent control of grain drying process using fuzzy logic controller.
Published 2010“…Applying an intelligent controller such as fuzzy logic controller to a grain drying system is a good choice as fuzzy logic controller is a very powerful control methodology that can estimate functions based on partial knowledge of the system in case of parameter uncertainties and can deal with non-linear behaviour. …”
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An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer
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Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
Published 2022“…A new model integrated with the existing Metocean data system using ML algorithms to monitor and interoperate with maximum performance is proposed. …”
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Future Trend of Artificial Intelligence and Stock Market: A Comprehensive Bibliometric Analysis
Published 2025“…Artificial intelligence (AI) has revolutionized stock market research, offering innovative solutions for predictive modeling, algorithmic trading, and financial decision-making. …”
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Intelligent control of grain drying process using fuzzy logic controller
Published 2010“…Applying an intelligent controller such as fuzzy logic controller to a grain drying system is a good choice as fuzzy logic controller is a very powerful control methodology that can estimate functions based on partial knowledge of the system in case of parameter uncertainties and can deal with non-linear behaviour. …”
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20
Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
Published 2022“…A new model integrated with the existing Metocean data system using ML algorithms to monitor and interoperate with maximum performance is proposed. …”
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