Search Results - (( java data prediction algorithm ) OR ( program visualization machine algorithm ))
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Mapreduce algorithm for weather dataset
Published 2017“…In addition, these characteristics also contribute to the complexity on the data processing and prediction. Big Data analytics is a new concept to process the Big Data. …”
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MapReduce algorithm for weather dataset
Published 2018“…In addition, these characteristics also contribute to the complexity on the data processing and prediction. Big Data analytics is a new concept to process the Big Data. …”
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Research Report -
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Development of virtual control panel for single spindle configuration 2-axis filament winding machine(SSFWM)
Published 2009“…And from the programming code control the actuators on filament winding machine to meet with the setting given by user. …”
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Undergraduates Project Papers -
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
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Integration Of Machine Vision In Industrial Robot For Automated Composite Panel Punching
Published 2018“…The aim of this research is to build a machine vision algorithm for assisting KUKA robot in recognizing and calibrating various shapes of composite panels precisely. …”
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Adopting machine learning to automatically identify a suitable surgery type for refractive error patients
Published 2024“…ML is dedicated to the advancement and use of algorithms that possess the capacity to acquire knowledge from data and enhance their predictive capabilities without explicit programming. …”
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Development of visual odometry based machinery motion assessment system / Low Shee Teng
Published 2022“…Machine diagnostics can be improved by using visual methods that magnify motion. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This prediction can be made by cluster the new data with the old data and observe where the data belongs. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…Besides, an android application is being cre-ated to give therapy based on machine learning predictions. To collect data, we enlisted the help of 4,500 people. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…Thus, there is a need to automate the process of identifying and predicting (positive, negative, or neutral class) these cyber-trooping data. …”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…Besides, an android application is being cre-ated to give therapy based on machine learning predictions. To collect data, we enlisted the help of 4,500 people. …”
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Article -
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2012“…The proposed model would capture a public signage image, compare the image in the database using template matching algorithm and convert to machine readable text in a text file. …”
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Conference or Workshop Item -
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2011“…The proposed model would capture a public signage image, compare the image in the database using template matching algorithm and convert to machine readable text in a text file. …”
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Adaptive algorithms for automated intruder detection in surveillance networks
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Proceeding Paper -
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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