|
|
|
Animesh Samanta, Ayan Chatterjee and Mritunjay Kumar Singh
A study using mathematical modeling has been conducted to analyze how both man-made and natural sources of contaminants affect various layers of an aquifer-aquitard system. The xy-, yz-, and zx-plane have been used to depict the locations where the natur...
ver más
|
|
|
|
|
|
Tobias Zeulner, Gerhard Johann Hagerer, Moritz Müller, Ignacio Vazquez and Peter A. Gloor
Current methods for assessing individual well-being in team collaboration at the workplace often rely on manually collected surveys. This limits continuous real-world data collection and proactive measures to improve team member workplace satisfaction. W...
ver más
|
|
|
|
|
|
Jinghua Groppe, Sven Groppe, Daniel Senf and Ralf Möller
Given a set of software programs, each being labeled either as vulnerable or benign, deep learning technology can be used to automatically build a software vulnerability detector. A challenge in this context is that there are countless equivalent ways to...
ver más
|
|
|
|
|
|
Nuno Marques de Almeida and Adolfo Crespo
The frequency and severity of natural or human-induced disaster events, such as floods, earthquakes, hurricanes, fires, pandemics, hazardous material spills, groundwater contamination, structural failures, explosions, etc., as well as their impacts, have...
ver más
|
|
|
|
|
|
Omiros Iatrellis, Nicholas Samaras, Konstantinos Kokkinos and Apostolis Xenakis
Academic advising is often pivotal in shaping students? educational experiences and choices. This study leverages natural language processing to quantitatively evaluate reviews of academic advisors, aiming to provide actionable insights on key feedback p...
ver más
|
|
|