• 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 ...

• 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 ...

• Shear Stress Response and Bond-Breaking Under Moderate Frequency Sinusoidal Translational Shear Deformation of Heterogeneous Rat Cerebrum 

  Gipple, Jenna (2018)

  Blast waves, which include sinusoidal shear waves, may cause mild traumatic brain injury (mTBI) in brain tissue. The experiments model repeated insults separated by a period of rest via application of translational sinusoidal ...

• Refrigerant Charge Distribution in Unitary Air-conditioning Units 

  Qiu, Tianyue (2018)

  To address the global warming, reduction of refrigerants charge in HVAC systems is becoming an essential topic. An experimental setup was designed and built for investigating the cyclic degradation performance and the ...

• ENERGY CONVERSION IN NANOCHANNELS GRAFTED WITH POLYELECTROLYTE AND POLYZWITTERION BRUSHES 

  Patwary, Jahin (2018)

  A continuous mission in the sciences is the never-ending search for more energy and fuel. As time brings the reality of how limited natural resources are, we seek toexpand to more synthetic methods of preserving and ...

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