Search Results - (( java implementation phase algorithm ) OR ( using phase machine algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Three phase induction motor coupled to DC motor in hybrid electric vehicle application
Published 2011“…The new on-line parameter adaptation algorithm has been tested experimentally on three phase induction machine for a proof-of-concept demonstration. …”
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Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition
Published 2007“…In the selection phase, a new variable length genetic algorithm is applied to select the lexical cues. …”
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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Published 2019“…To help individuals or companies make a systematic and more accurate decisions, sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. …”
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Development of committee machine models for multiple response optimization problems
Published 2014“…Committee Machine (CM) is a group of some experts such as some Artificial Neural Networks (ANNs) or other mathematical models that can be used in modeling phase of MRO problem solving. …”
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Modelling and fault-tolerant control of 5-phase induction machine
Published 2015“…The paper presents modeling and analysis of a 5-phase induction machine connected to 2-level 5-leg converter in case of open-phase failure. …”
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An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif
Published 2016“…To achieve this objective, the research was divided into three phases, which consist of talent data identification and data preparation phase, algorithm development for prototype phase and testing and evaluation phase to identify the most suitable prediction model for talent prediction. …”
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Research Reports -
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Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…The second phase involves image segmentation using the Sauvola method. …”
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Optimization Of Fractional-Slot Permanent Magnet Synchronous Machine Using Analytical Sub-Domain Model And Differential Evolution
Published 2019“…Then, the optimized fractional-slot Permanent Magnet Synchronous Machine (PMSM) performance is validated using the 2-D Finite Element Method (FEM). …”
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Machine Learning Regression Approach for Estimating Energy Consumption of Appliances in Smart Home
Published 2024“…This paper attempts to use machine learning algorithms to estimate the energy consumption of appliances in a smart home environment. …”
Conference Paper -
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Computation of pinch dynamics in plasma focus discharge using Lee model / Lim Ling Hong
Published 2021“…Several plasma focus machines are then used with this amended Lee model and the radial trajectories are investigated. …”
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An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…The deliverable of this phase is the selection of the best candidate of machine learning algorithm for university campus energy load prediction. …”
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Object detection system using haar-classifier
Published 2009“…Training phase use OpenCV utilities such as haartraining.exe to train the object by calculating the object’s weak constraints. …”
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Undergraduates Project Papers -
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FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING
Published 2023“…In the classification phase, the system uses the extracted features to classify the fruits using a machine learning algorithm – a backpropagation neural network (BPNN). …”
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Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis
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Machine learning algorithms in context of intrusion detection
Published 2016“…These machine learning algorithms develop a detection model in a training phase. …”
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Conference or Workshop Item -
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Early detection of dengue disease using extreme learning machine
Published 2018“…The proposed ELM prevents several backpropagation issues by reducing the used of many parameters that solves the main drawbacks of Backpropagation algorithm that uses during the training phase of Neural Network. …”
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