In recent years, there has been a continuous increase in tech and programming, and as a result, more students in high school and college are going into the field of Compu[...]

Computer vision applications are essential for demonstrating practical applications and capabilities of advanced algorithms for real-world use. These demonstrations must [...]

The advancement of technology has enabled us to collect increasing quantities of spatial and spatiotemporal data at rapidly increasing rate through sensor systems, automa[...]

As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a pa[...]

Predictive Analytics is an advanced branch of data analytics that deals with making future predictions that matter to the industry\cite{6}.It has wide applications in the[...]

Deep learning uses stacks of multiple processing layers to learn representations of data with different levels of abstraction. It enables machines to have the understand[...]

Sparse linear algebra operations are very important across many areas of science. Therefore, efficiently finding ways to perform these matrix computations is essential. T[...]

This dissertation is broadly concerned with the subsystem problem for subshifts on countable amenable groups: given a subshift $X$, what are its subsystems and can they b[...]

Graph coloring is commonly used to schedule computations on parallel systems. Given a good estimation of the computational requirement for each task, one can refine the m[...]

Autonomous exploration using mobile robots, commonly referred to as robotic exploration, entails simultaneously performing robot perception, localization, and motion plan[...]