To cater to the ever-growing demand for higher data rates, cellular networks and wireless local area networks (WLANs) need to adopt innovative technologies. Full-duplex (FD) is one such technology that promises to double ...

MANET is a self-con guring, decentralized and infrastructure-less mobile wireless network, where autonomous mobile nodes (such as laptops, smartphones, sensors, etc.) communicate over the wireless channels. Thus, MANETs ...

Breast cancer is the most common cancer accounting for almost 11.7% of all cancer incidences and 6.9% of cancer-related deaths globally in 2020, as per Globocan 2020 report. Diagnosis of breast cancer requires microscopic ...

Over the years, fine-grained opinion mining in online reviews has received great attention from the NLP research community. It involves different tasks such as Aspect Term Extraction (ATE), Opinion Term Extraction (OTE), ...

The issue of scalability has been restricting blockchain from its widespread adoption. The current transaction rate of bitcoin is around seven transactions/second while its size has crossed the 300 GB mark. Although many ...

We present Privaros, a framework to enforce privacy policies on drones. Privaros is designed for commercial delivery drones, such as the ones that will likely be used by Amazon Prime Air. Such drones visit a number of host ...

In an inverse problem, the objective is to recover a signal from its measurements, given the knowledge of the measurement operator. In this thesis, we address the problems of compressive sensing (CS) and compressive phase ...

Multilevel voltage source inverters have become a widely accepted and cost-effective power converter technology for applications requiring high-power medium-voltage control. The demand of power level requirement has ...

Human speech is one of many acoustic signals we perceive, which carries linguistic and paralinguistic (e.g., speaker identity, emotional state) information. Speech acoustics are produced as a result of different temporally ...

Networks or graphs provide mathematical tools for describing and analyzing relational data. They are used in biology to model interactions between proteins, in economics to identify trade alliances among countries, in ...