Topological Data Analysis denotes the set of algorithms and methods to define and retrieve the underlying structure of the shapes in the data. Utilizing topological infer[...]

ABSTRACTNOURELISLAM ZOUAR. ANOMALY DETECTION FOR MANUFACTURING APPLICATIONS USING CONVOLUTIONAL AUTOENCODERS. (Under the direction of DR. MIN SHIN) Anomaly Detection in m[...]

Healthcare spending has been increasing in the last few decades. One of the main reasons for this increase is hospital readmissions, which is defined as a rehospitalizati[...]

Automatic identification and pose estimation of a target object through robotic perception is necessary for many robotic tasks, such as object manipulation, scene reconst[...]

As the memory wall becomes an obstacle in the multi-core architecture, many hardware solutions have been proposed to utilize the available memory bandwidth more efficient[...]

A perennially interesting topic in the research field of large scale image collection organization is how to effectively and efficiently conduct the tasks of image cleans[...]

This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rule[...]

Visual analytics promises to supply analysts with the means necessary to analyze complex datasets and make effective decisions in a timely manner. Although significant pr[...]

With the rapid increasing of smart mobile devices and the advances of sensing technologies, mobile crowd sensing (MCS) becomes a new popular sensing paradigm, which enabl[...]

A perennially interesting research topic in the field of visual analytics is how to effectively develop systems that support organizational knowledge worker's decision- m[...]