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Angola Abreu, Enrique D., author.
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Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach / Angola Abreu
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Baheri Irani, Ali Khayat, author.
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The overarching objective of this research is to use machine learning tools to address the design
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Brown, Matthew S., author. (orcid)0000-0002-6535-8877
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, this thesis proposes a method and an associated toolbox to utilize machine learning in conjunction with
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Kokate, Apurva, author. (orcid)0000-0003-2353-4171
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-critical decisions such as perception for self-driving cars, the machine learning community has been extremely
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Sadasivam, Premsanth, author.
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machine learning model is developed and trained with the data that was collected from the experiment, this
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Roy, Tonmoy, author.
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processing and machine learning techniques. Trends in recent studies show increasing interests in the use of
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Davies, Gregory, author.
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More specifically, in Chapter 2 ultrasonic measurements were combined with a supervised machine-learning
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Wu, Linjiang, author.
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spatiotemporal pattern network (STPN) based machine learning framework to predict the microclimate information
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Shi, Zhe, author.
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generalization performance of learning models by including unlabeled data, while EL takes advantage of a cluster
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Rong, Xi, author.
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functional theory; surface structure; machine learning (Copies available exclusively from MIT Libraries

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