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Labor Skills In The Maintenance Department For Industry 4.0, Tomas Marzullo
Labor Skills In The Maintenance Department For Industry 4.0, Tomas Marzullo
Theses and Dissertations
Industry 4.0 is changing the manufacturing environment with its cyber-physical infrastructure to support and help increase production performance. The cyber-physical infrastructure brings new technologies such as Internet of Things, big data, cloud computing, and machine learning using advanced algorithms. To deal with this new order to preserve asset performance, industrial maintenance needs to be prepared. This study aims to understand the impact of Industry 4.0 on the skills required within industrial maintenance departments. A survey of industrial maintenance professionals finds that the majority of training comes from internal sources and that much of the information systems used for training are …
Mass Classification Of Digital Mammograms Using Convolutional Neural Networks, Elijah Franklin
Mass Classification Of Digital Mammograms Using Convolutional Neural Networks, Elijah Franklin
Theses and Dissertations
This thesis explores the current deep learning (DL) approaches to computer aided diagnosis (CAD) of digital mammographic images and presents two novel designs for overcoming current obstacles endemic to the field, using convolutional neural networks (CNNs). The first method employed utilizes Bayesian statistics to perform decision level fusion from multiple images of an individual. The second method utilizes a new data pre-processing scheme to artificially expand the limited available training data and reduce model overitting.