Wireless multi-hop networks and software-defined networking (SDN) are emerging technologies in wireless communications for deploying cost-efficient programmable network b[...]

In the modern airspace, small unmanned aircraft systems (UAS) such as drones are becoming increasingly popular with both amateur enthusiasts as well as professional pilot[...]

Offline reinforcement learning must constrain policy optimization to mitigate valueoverestimation on out-of-distribution actions, yet existing pessimism-based approachese[...]

The task of visually tracking multiple objects remains an active field of algorithm development even after several decades of research in the computer vision community. O[...]

Machine learning has risen to the forefront of scientific research due to its unparalleled predictive capabilities. As a result, researchers have become increasingly inte[...]

To match the increasing demand for interactions with artificial intelligence (AI) in medicine and science, many strive to find the most efficient and accurate method to i[...]

It is essential for instructors to understand where students are struggling in a course. One common method is to ask students to fill out periodic reflections throughout [...]

Recent advancements in the domain of deep learning models have engendered remarkable progress across numerous computer vision tasks. Notably, there has been a burgeoning [...]

Neural seq2seq models are widely used to generate dialogue using variations of RNN Encoder-Decoder architecture with maximum likelihood estimation as objective function. [...]

In recent years, emotion detection in text has become increasingly popular because of its many potential applications in a range of areas, such as marketing, political sc[...]