Search Results - (( using lean based algorithm ) OR ( java application learning algorithm ))
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Development of a systematic method in lean tool selection for automotive industry
Published 2012“…The developed software probably assists manufacturers in applying the systematic lean tool selection. Based on the systematic features of this algorithm, the efficiency and effectiveness of the model in presenting optimizing techniques for lean tool selection with the automotive industry seems reasonable and useful. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Developing Android Application To Guide Lean Six Sigma PDCA Project
Published 2018“…As the practical contribution, the work produces a ready to use mobile application to help practitioners in particular those in the industry at the early stage of lean journey. …”
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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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Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2)
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Development Of Machine Learning User Interface For Pump Diagnostics
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Confidentiality based file attributes and data classification using TsF-KNN
Published 2015“…The main objective of this study is to predict the confidential and non-confidential data of a file using K-NN algorithm. We also proposed a method called Training dataset Filtration Key Nearest Neighbour (TsF-KNN) classifier which classifies the data of file based on the confidentiality level of the schema of a file (file attributes). …”
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Machining optimization using Firefly Algorithm / Farhan Md Jasni
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…We investigate the detection capability based on the fuzzy Q-learning (FQL) algorithm and evaluate it using distribute denial of service attacks (DDoS). …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Hierarchical gaussian reinforcement learning for path planning in uncertain environments
Published 2015“…We propose a path planning algorithm for robots in uncertain environments by using hierarchical Gaussian Q-learning. …”
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