Search Results - (( usage teaching learning algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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A dynamic eLearning prediction modelbased on incomplete activities of eLearning system
Published 2020“…At present, eLearning usage is diverse because the eLearning activities used in teaching and learning differ depending on educators. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
Published 2023“…EMA belongs to the evolutionary computation group of nature-inspired metaheuristic algorithms and offers a promising solution. A comparative analysis is conducted with other well-known algorithms such as Particle Swarm Optimization (PSO), Differential Evolution (DE), Ant Colony Optimization (ACO), Biogeography-Based Optimization (BBO), Teaching-Learning Based Optimization (TLBO), and Beluga Whale Optimization (BWO). …”
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Dropping down the maximum item set: improving the stylometric authorship attribution algorithm in the text mining for authorship investigation
Published 2010“…Approach: The main target in this study is to build an algorithm supports a decision making systems enables users to predict and choose the right author for a specific anonymous author’s novel under consideration, by using a learning procedure to teach the system the Stylometric map of the author and behave as an expert opinion. …”
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Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building
Published 2024“…The methodology involves comparing KAN's performance with Artificial Neural Networks (NN) and a hybrid metaheuristic algorithm combined with deep learning, namely the Teaching-Learning-Based Optimization with Deep Learning (TLBO-DL). …”
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Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building
Published 2024“…The methodology involves comparing KAN’s performance with Artificial Neural Networks (NN) and a hybrid metaheuristic algorithm combined with deep learning, namely the Teaching-Learning-Based Optimization with Deep Learning (TLBO-DL). …”
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Hyper-heuristic strategies for optimal power flow problem with FACTS devices allocation in wind power integrated system
Published 2024“…These low-level metaheuristics comprise the Moth-Flame Optimizer (MFO), Barnacles Mating Optimizer (BMO), Teaching-Learning Based Optimization (TLBO) and Gradient-Based Optimizer (GBO). …”
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Halal authentication of alcohol in food and beverages products: a review
Published 2024“…Various analytical methods have been developed to confront this issue, including using gas chromatography, mass spectrometry, electronic nose, and a combination of machine learning algorithms, biosensors, and specific gravimetry methods. …”
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Halal authentication of alcohol in food and beverages products: a review / Nur Hanisah Mohamad Ikhiwan and Nur Azira Tukiran
Published 2024“…Various analytical methods have been developed to confront this issue, including using gas chromatography, mass spectrometry, electronic nose, and a combination of machine learning algorithms, biosensors, and specific gravimetry methods. …”
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