Search Results - (( java application sensor algorithm ) OR ( _ localization mining algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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A norms mining approach to norms detection in multi-agent systems
Published 2012“…In this technique, the visitor agent is equipped with an algorithm, which detects the potential norms through the system's log file, interactions with the local agents, and observing the local agents in action. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Hence, this study carried out several objectives to augment the support of modified clustering algorithm. Firstly, an extended K-Means clustering algorithm (called X-Means algorithm) is proposed to filter/remove the noise from user session data to eliminate outliers or irrelevant pages. …”
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A norms mining approach to norms detection in multi-agent systems
Published 2023“…In this technique, the visitor agent is equipped with an algorithm, which detects the potential norms through the system's log file, interactions with the local agents, and observing the local agents in action. …”
Conference paper -
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Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)
Published 2023Subjects:Short Survey -
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A novel approach to data mining using simplified swarm optimization
Published 2011“…Therefore, the proposed SSO rule-based classifier with local search strategies has offered a new paradigm shift in solving complex problems in data mining which may not be able to be solved by other benchmark classifiers.…”
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Hybrid ant colony optimization and genetic algorithm for rule induction
Published 2020“…The AntMiner classifier is efficient, useful and commonly used for solving rulebased classification problems in data mining. Ant-Miner, which is an ACO variant, suffers from local optimization problem which affects its performance. …”
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Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm
Published 2022“…However, the contrast subspace search of the tree-based method may be trapped in local optima within the search space. This paper proposes a tree-based method which incorporates genetic algorithm to optimize the contrast subspace search by identifying global optima contrast subspace. …”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
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Monograph -
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A hybrid local search algorithm for minimum dominating set problems
Published 2022“…To solve these problems, we propose a two-stage hybrid local search algorithm. In the first stage, we propose an adaptive information content-based local search algorithm as an exploratory procedure. …”
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A hybrid local search algorithm for minimum dominating set problems
Published 2022“…To solve these problems, we propose a two-stage hybrid local search algorithm. In the first stage, we propose an adaptive information content-based local search algorithm as an exploratory procedure. …”
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An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Thus, the proposed AGI-AntMiner algorithm is capable in conducting an efficient search in finding the best classification rules that balance the classification accuracy and model complexity to overcome overfitting and local optima problems.…”
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Improvement DACS3 Searching Performance using Local Search
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Human activity recognition via accelerometer and gyro sensors
Published 2023“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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Final Year Project / Dissertation / Thesis -
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Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…New young queens are produced by the colony that migrates to establish new colonies after local optimum solution reached to start new local search. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…The second improvement includes the development and use of new Local Search Algorithm with SSA to improve its exploitation. …”
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Training functional link neural network with ant lion optimizer
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An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…This algorithm maintains the local optimal radius of micro-clusters rather than a global and constant radius. …”
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An improved ACS algorithm for data clustering
Published 2020“…However, ACOC suffers from high diversification in which the algorithm cannot search for best solutions in the local neighbourhood. …”
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