This dissertation presents the systematic design and development of datasets, algorithms, and an AI pipeline specifically curated for real-time trajectory prediction and [...]

The advancement of medical imaging has significantly enhanced the ability to diagnose, monitor, and treat cancer. This dissertation focuses on the development of deep lea[...]

This thesis proposes "1D Convolution replacement layer ", a novel optimization for first convolution layer in CNN. This optimization enables edge friendly streaming acce[...]

With technological advancements, cyber attacks are highly automated and organized with asymmetric advantages over defenders regarding cost and efforts.Attackers employ so[...]

A microgrid is a localized group of electricity sources and loads that normally operates connected to and synchronous with traditional wide area synchronous grid(macrogri[...]

The real, complex network environment consists of an ever-increasingly diverse and large amount of data encapsulated in packets. Surveillance and monitoring of this traff[...]

Social media is growing as a communication medium where people can express online their feelings and opinions on a variety of topics in ways they rarely do in person. Det[...]

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[...]

Emergency medical services (EMS); commonly referred to as ambulance, paramedic or pre-hospital emergency services, are a critical component in the delivery of urgent medi[...]