22 citations · 31 across the 6 of their papers we have counts for
6 papers
PyBryt: auto-assessment and auto-grading for computational thinking
Christopher Pyles, Francois van Schalkwyk, Gerard J. Gorman +4
We continuously interact with computerized systems to achieve goals and perform tasks in our personal and professional lives. Therefore, the ability to program such systems is a sk…
Stochastic Variations in Nanoscale HZO based Ferroelectric finFETs: A Synergistic Approach of READ Optimization and Hybrid Precision Mixed Signal WRITE Operation to Mitigate the Implications on DNN Applications
Sourav De, Md. Aftab Baig, Bo-Han Qiu +5
This paper reports a synergistic approach of READ and WRITE optimization by deploying a high-precision digital computation unit along with a low-precision ferroelectric finFET (Fe-…
Modeling infection methods of computer malware in the presence of vaccinations using epidemiological models: An analysis of real-world data
Elad Yom-Tov, Nir Levy, Amir Rubin
Computer malware and biological pathogens often use similar mechanisms of infections. For this reason, it has been suggested to model malware spread using epidemiological models de…
On the use of multiple compartment epidemiological models to describe the dynamics of influenza in Europe
Inbar Seroussi, Nir Levy, Daniela Paolotti +2
We develop a multiple compartment Susceptible-Infected-Recovered (SIR) model to analyze the spread of several infectious diseases through different geographic areas. Additionally,…
Multi-Season Analysis Reveals the Spatial Structure of Disease Spread
Inbar Seroussi, Nir Levy, Elad Yom-Tov
Understanding the dynamics of infectious disease spread in a heterogeneous population is an important factor in designing control strategies. Here, we develop a novel tensor-driven…
Modeling influenza-like illnesses through composite compartmental models
Nir Levy, Michael Iv, Elad Yom-Tov
Epidemiological models for the spread of pathogens in a population are usually only able to describe a single pathogen. This makes their application unrealistic in cases where mult…