• FAULT DETECTION FRAMEWORK FOR IMBALANCED AND SPARSELY-LABELED DATA SETS USING SELF-ORGANIZING MAPS 

  Shah, Rushit (2018)

  While machine learning techniques developed for fault detection usually assume that the classes in the training data are balanced, in real-world applications, this is seldom the case. These techniques also usually require ...

• Demonstrating Cognition by Task Execution and Motion Planning with different algorithms for Manipulation 

  DIMITRIADIS, DIMITRIOS (2018)

  In this Thesis we demonstrate the whole path until the manipulation and the planning of the Baxter Robot. We start by analyzing the kinematic analysis of a six degrees of freedom robot. We build our analysis starting from ...

• SIMPLIFIED STRUCTURAL DESIGN APPROACH FOR OPEN COMPARTMENTS IN THE CASE OF FIRE 

  Nassiri, Parisa (2018)

  A vast majority of modern commercial and office buildings are designed to allow for maximum tenant flexibility. This results in a high demand for open floor plans and for versatility in compartmentation and architecture. ...

• REACHING A TARGET WITHIN A GPS-DENIED OR COSTLY AREA: A TWO-STAGE OPTIMAL CONTROL APPROACH 

  Cheng, Sheng (2018)

  In this thesis, a new class of problem is studied where a mobile agent is controlled to reach a target. Especially, the target is enclosed within a special area. The presence of this area requires a controller to have two ...

• DATA-DRIVEN ANALYTICAL MODELS FOR IDENTIFICATION AND PREDICTION OF OPPORTUNITIES AND THREATS 

  Mishra, Saurabh (2018)

  During the lifecycle of mega engineering projects such as: energy facilities, infrastructure projects, or data centers, executives in charge should take into account the potential opportunities and threats that could ...

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