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Deep Autoencoders for Cross-Modal Retrieval
(2019-05-01)
Increased accuracy and affordability of depth sensors such as Kinect has created a great depth-data source for 3D processing. Specifically, 3D model retrieval is attracting attention in the field of computer vision and ...
Data-driven sub-grid model development for large eddy simulations of turbulence
(2019-05)
Turbulence modeling remains an active area of research due to its significant impact on a diverse set of challenges such as those pertaining to the aerospace and geophysical communities. Researchers continue to search for ...
Machine learning and personality traits: A disturbing contribution from the algorithmic culture to behavioral science
(2018-12)
The time has come for behavioral scholars to benefit from the superior prediction accuracy of modern data mining practices over traditional data modeling. The current investigative study uses machine learning techniques ...
Digital Transformation: How to Beat the High Failure Rate
(2019-05-01)
Firms every year spend $1.3 trillion on digital transformation programs to improve efficiency because digital leaders outperform their peers in nearly every industry. However, digital transformations that are intended to ...
Quadcopter Trajectory Prediction and Wind Estimation Using Machine Learning
(2019-07)
Small unmanned aerial systems are heavily impacted by wind disturbances. Wind causes deviations from desired trajectories, potentially leading to crashes. In this thesis, we consider two inherently related problems: ...
Developing Clinical Decision Support Systems for Sepsis Prediction Using Temporal and Non-Temporal Machine Learning Methods
(2019-07)
In healthcare, diagnostic errors represent the biggest challenge to synthesize accurate treatments. In the United States, patient deaths due to misdiagnoses are estimated at 40,000 to 80,000 per year. It was also found ...