Search Results - (( intelligence based ibs algorithm ) OR ( intelligence based cell algorithm ))*
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Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review
Published 2025“…EMS strategies; AI-based algorithms categories, functions and hybridization; the state-of-art and future direction of AI-based algorithms and HFCEVs? …”
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Immune Multiagent System for Network Intrusion Detection using Non-linear Classification Algorithm
Published 2010“…A new non classification algorithm was developed based on the danger theory model of human immune system (HIS).The abstract model of system algorithm is inspired from HIS cell mechanism mainly, the Dendritic cell behavior and T-cell mechanisms. …”
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Citation Index Journal -
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Distributed learning based energy-efficient operations in small cell networks
Published 2023“…Additionally, an intelligent distributed cooperative power allocation learning algorithm is proposed to enhance energy efficiency in small cell networks while satisfying the scalability, power constraint, user association requirements, and QoS constraints. …”
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Thesis -
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Auto raise hand in Microsoft teams (API/Extension)
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Final Year Project / Dissertation / Thesis -
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Vision-based 3D part recognition system for flexible manufacturing cell
Published 2005“…The automatic generation of the 3D objects/parts recognition algorithm and the intelligent based part recognition for FMC will be developed from the multiple 2D images.…”
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Conference or Workshop Item -
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Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar
Published 2006“…The integration of these components produced a corner detector algorithm and this algorithm can be used in the engine of an intelligent sketch interpreter…”
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Thesis -
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A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells
Published 2025“…This review traces the evolution of five control paradigms, including voltage/proportional-integral-derivative (PID), model-based, adaptive, fuzzy logic, and artificial-intelligence (AI) systems, as well as hybrid intelligent controllers, and benchmarks each against scalability, dynamic responsiveness, and energy-recovery performance. …”
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Article -
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Decision tree-based approach for online management of PEM fuel cells for residential application
Published 2004“…This thesis demonstrates a new intelligent technique for the online optimal management of PEM fuel cells units for onsite energy production to supply residential utilizations. …”
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Thesis -
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Optimized Intelligent Controller for Energy Storage based Microgrid towards Sustainable Energy Future
Published 2024“…This study focuses on a sustainable microgrid-based hybrid energy system (HES), primarily focusing on analyzing the performance of the fuel cell and its impact on the overall HES into optimizing system performance. …”
Conference Paper -
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Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm
Published 2016“…MPPT algorithms can be categorized into classical methods and artificial intelligence-based methods. …”
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Thesis -
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Aplikasi Rangkaian Neural HMLP Untuk Saringan Barah Pangkal Rahim Berdasarkan Imej Thinprep
Published 2006“…To address these limitations, a new technique was proposed known as the ThinPrep. Diagnosis system based on artificial intelligence such as neural network has been proved in increasing the diagnostic performance. …”
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Monograph -
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Decision tree-based approach for online management of pem fuel cells for residential application
Published 2004“…This thesis demonstrates a new intelligent technique for the online optimal management of PEM fuel cells units for on site energy production to supply residential utilizations. …”
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Thesis -
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Machine learning for data classification in construction project planning
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Final Year Project / Dissertation / Thesis -
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ExploreEasy: Smart and all-in-one trip management application
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Final Year Project / Dissertation / Thesis -
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Application Of Neural Network In Malaria Parasites Classification
Published 2006“…There are only a few researchers used artificial intelligence to classify malaria parasites. The purpose of this project is to classify malaria parasites into Plasmodium falciparum, Plasmodium vivax and Plasmodium malariae based on ratio of infected red blood cell’s (RBC) size to normal RBC’s size, shape of parasite, location of chromatin, number of chromatin, texture of infected RBC, and number of parasite per RBC using different types of neural network. …”
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Monograph
