Search Results - (( learner estimation using algorithm ) OR ( java application customization algorithm ))
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1
Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…The methodology is proposed as stacking ensemble ML and the best ML algorithms are used as a base learner to compute relative feature weights. …”
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Thesis -
2
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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3
Development of predictive modeling and deep learning classification of taxi trip tolls
Published 2022“…In this work, let’s use the classification learner to create classification models, compare their performance, and export the findings for additional study. …”
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4
DEVELOPMENT OF PREDICTIVE MODELING AND DEEP LEARNING CLASSIFICATION OF TAXI TRIP TOLLS
Published 2023“…In this work, let�s use the classification learner to create classification models, compare their performance, and export the findings for additional study. …”
Article -
5
Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration
Published 2022“…As for the NNE, a novel meta-learner based on the stochastic-enabled extreme learning machine integrated with whale optimisation algorithm (WOA-ELM) was developed and used in such an application for the first time. …”
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Final Year Project / Dissertation / Thesis -
6
Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Conference or Workshop Item -
7
A direct ensemble classifier for learning imbalanced multiclass data
Published 2013“…The learning framework consists of ensemble learning and decision combiner model with general supervised learning algorithms as base learner. Feature selection is also applied in DECIML in order to increase the performance of the ensemble learning. …”
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Thesis
