Search Results - (( manufacturing implementation learning algorithm ) OR ( java application tree algorithm ))
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Adaptable algorithms for performance optimization of dynamic batch manufacturing processes
Published 2018“…Central to precision manufacturing is artificial intelligence as this thesis presents the performance characteristics of tuning-based, rule-based, learning-based and evolutionary-based algorithms. …”
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The formulation of a transfer learning pipeline for the classification of the wafer defects
Published 2023“…Deep learning classification produces excellent and robust results in classifying defects in wafer images, but challenges in data scarcity and hyperparameter tuning hampers its implementation in the industry. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Automated visual defect detection using deep learning
Published 2022“…By applying the models, the detected defects will be segmented and classified, and the output results will be displayed to the user through a coloured segmentation mask for each defect. Manufactures will be able to automate the industrial inspection process by implementing the deep learning models proposed in this project. …”
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Final Year Project / Dissertation / Thesis -
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Location accuracy improvement in bluetooth low energy based indoor positioning system for remote asset monitoring / Dasmond Roy Philips
Published 2024“…This research project mainly aims to improve location accuracy of the asset tracking system through implementation of machine learning algorithms and parameters tuning. …”
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Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
Published 2023“…Framework can facilitate the performanceofManufacturing Firms. The purpose is to interpret the implementation of businessanalytic ultimately affects the overall performance of the organization. and creatingafeasible framework. …”
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Mining Sequential Patterns using I-PrefixSpan
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Characteristics of machining data and machine learning models - A case study
Published 2023“…One of the key technologies or preferable methods to increase the productivity is implementing prediction models or machine learning (ML) algorithms in production. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Detection of surface defects of aluminium extrudants using artificial intelligence
Published 2024“…Although nowadays some manufacturing industries have implemented algorithms to automate the detection of defects, those algorithms face challenges on dealing with noises and lighting changes. …”
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Final Year Project / Dissertation / Thesis -
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Machine learning approach for automated optical inspection of electronic components
Published 2019“…The factor that affecting the confidence level of the supervised machine learning algorithm is discussed. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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Conference or Workshop Item -
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The integration between strategic cost management techniques to improve the performance of Iraqi manufacturing companies
Published 2017“…Data were collected by means of structured questionnaire survey using simple random sampling and a Partial Least Squares (PLS) algorithm and bootstrap techniques were used to test the hypothesis of the paper.The result revealed that TQM had a significant positive effect on BSC through the measurement of customer perspective, financial perspective, innovation and learning perspective, and internal business process perspective.The finding implies that Iraqi manufacturing industries can attain the performance of their companies in the different perspective of BSC by proper implementation of TQM technique.…”
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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…Support Vector Machine (SVM) is among the popular learning algorithm for classification in soft computing techniques. …”
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Research Reports -
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Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection
Published 1998“…Such problem was faced by a multinational semiconductor manufacturer. Therefore a study was conducted to introduce a new algorithm to inspect integrated circuit package markings. …”
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A Neural Network Mobile Learning Application For Autonomous Improvement In A Flexible Manufacturing Environment
Published 2016“…This study is focused on how an innovation based on telecommunication and computer technologies at a manufacturing facility “MF” is implemented to generate higher value returns. …”
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