This work attempts to identify potential reporting bias surrounding recent controversial decisions for articles published from August 2019 to October 2021 within four major news organizations: FOX, CNN, NBC, and NPR. This ...

This research proposal introduces a learning assisted modeling technique for the purpose of Hardware Trojan detection. Our proposed model, unlike the prior art, does not require a Golden fabricated chip as a fingerprint ...

The technological advancement that is continually occurring has brought forth many unique innovations. Social networking is arguably one of the most impactful mediated technologies produced by the Information Age. Social ...

This paper focuses on studying epileptic seizure detection using machine learning algorithms. Algorithms like Naïve Bayes, Logistic Regression, Stochastic Gradient Descent, KNearest Neighbour, Decision trees and random ...

Aggressive voltage and frequency scaling schemes applied to memory and cache structures, specially for memory systems fabricated in advanced and scaled geometry nodes that are severely affected by process variation,significantly ...

The increasing cost of building, operating, managing, and maintaining state-of-the-art silicon manufacturing facilities has pushed several stages of the semiconductor device’s manufacturing supply chain offshore. However, ...

We plan a novel technique for consequently creating a playlist of suggested tunes in the famous social music sharing application Spotify that are preferred with high likelihood by a client. Our strategy utilizes various ...

In this paper, we propose an extension to the Unified Architecture Framework (UAF) Profile to leverage the potential of the widely used SWOT analysis in modeling the UAF strategic viewpoint of an enterprise or System of ...