Search Results - (( java implementation 5s algorithm ) OR ( knowledge simulation based algorithm ))
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Performance evaluation of real-time multiprocessor scheduling algorithms
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Knowledge base tuning using genetic algorithm for fuzzy behavior-based autonomous mobile robot
Published 2005“…This paper presents a new schema to overcome behavior-based problems based on Fuzzy Logic Controller (FLC) where the fuzzy knowledge bases are tuned automatically by Genetic Algorithm (GAs), known as Genetic Fuzzy System (GFS). …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Hazard identification on fractionation column using rule based expert system
Published 2001“…The process-general knowledge which consists of rule-based expert system is developed from simulation result obtained from HYSIS process simulator. …”
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Modeling and simulation of the industrial numerical distance relay aimed at knowledge discovery in resident event reporting
Published 2014“…This is justified by the practicality and necessity of divulging the decision algorithm hidden in the recorded relay event report using computational intelligence-based data mining. …”
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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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SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…This automatic model selection algorithm is better than non-algorithm procedure which requires knowledge and extra time. …”
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Analytical studies and experimental examines for flooding-based search algorithms
Published 2012“…To improve this searching scheme and reduce redundant messages, there are many flooding-based search algorithms in literature. This pa- per provided analytical study for flooding and flooding-based algorithms. …”
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Implementing universal priority DBA algorithm in PIC based EPON testbed
Published 2023“…For proof-of-concept, the UDBA algorithm is implemented inside a proposed peripheral interface controller (PIC) based EPON testbed in order to evaluate the communication protocol involved. …”
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An ontology-based reasoning framework for reaction mechanisms simulation
Published 2007“…The construction of these models is automated based on a set of QR algorithms. We have tested the framework on the S N 1 and the S N 2 reaction mechanisms. …”
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Online DE optimization for Fuzzy-PID controller of semi-active suspension system featuring MR damper
Published 2022“…In this paper, MR fluid damper with Fuzzy-PID controller is examined to be optimized using a modified DE algorithm. However, in the Fuzzy-PID controller, the fuzzy logic algorithm is used to auto-tune the PID controller, but it cannot be considered as a fully real-time controller since the fuzzy algorithm uses a previous knowledge base built offline. …”
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Compressed Sensing Implementations For Sparse Channel Estimation In OFDM Systems
Published 2018“…Secondly, based on prior knowledge of the measurement vector and measurement matrix, to accurately find the support of the unknown signal-vector from very few noisy measurements. …”
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An Educational Tool Aimed at Learning Metaheuristics
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E4ML: Educational Tool for Machine Learning
Published 2003“…There are various types of machine learning algorithms with certain processes taken by the algorithm.In teaching of the machine learning algorithms, such processes need to be explained especially to the beginner in introductory level.This paper discusses the development the tool that addresses the process by certain algorithm to produce a hypothesis or output based on given data.This tool can also be used in teaching and learning purposes.The explanation of processes by the algorithms is demonstrated through simple simulation.The source of the algorithms was adapted from Mitchell book [1] that cover popular algorithms in machine learning for teaching and learning such as Concept Learning, Decision Tree, Bayesian Learning, Neural Networks, and Instance based Learning.The tool also used several classes of Weka (Waikato Environment for Knowledge Analysis) as a basis for the design and implementation of the new tool that focuses on explaining the processes taken by certain algorithm.…”
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