Search Results - (( java implementation 5s algorithm ) OR ( knowledge utilization testing algorithm ))
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Performance evaluation of real-time multiprocessor scheduling algorithms
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…One of the key issues of developing an autonomous system is that it requires pre-defined knowledge by an expert. This knowledge is then converted into computer program or by utilizing exhaustively trained and tested Artificial Intelligence (AI) algorithm. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. This application can be installing into the mobile phone.…”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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An Educational Tool Aimed at Learning Metaheuristics
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Mining association rules from structured XML data
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Scalable approach for mining association rules from structured XML data
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…The circuits have been designed by proteus, the microcontrollers have been programmed by micro C, and the Graphical User Interface (GUI) has been implemented in Java. Few by electronic components such as RFID, multiplexer, XBee, and servo motors have been used to realize the system. …”
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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…In these experiments, all the training and testing data are represented as feature vectors. By using the proposed algorithm, the sparse coefficients are learned by exploiting the relationships among different multi-view features and leveraging the knowledge from multiple related tasks. …”
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Comparison of CPU damage prediction accuracy between certainty factor and forward chaining techniques
Published 2024“…Next the outcomes of the Forward Chaining algorithm test. All questions about symptoms were answered affirmatively, except for one test which had a negative response. …”
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