Power transformers are an indispensable part of smart city infrastructure and one of the most expensive components of this kind of infrastructure. The insulation of the transformers is formed by mineral oil and cellulose, both of which can degrade due to multiple stresses (electrical/mechanical/thermal/chemical). This …
Stress impacts students in a great number of ways, influencing not only how they feel but also their academic performance and the management of daily responsibilities. Measuring it, though, is difficult because most measures rely on self-reporting by students, which often lacks reliability. In this work, we investigate…
Deep learning pipelines are essential in perception, planning, and control of autonomous vehicles (AVs). The optimization approach, defining the efficiency of models in learning and generalizing in dynamic environments, is an essential but under-researched aspect of such pipelines. Current methods, such as SGD, Adam, a…
Given their impact on student achievement, efficiency in the college, and retention, student performance prediction and dropout detection have emerged as important areas of study in the field. Traditional approaches to identifying academically at-risk students are generally manual assessment and retrospective analysis,…
Computer vision has generally been guided through deep learning, primarily in terms of thinking about devices in snapshots. Convolutional neural community-based absolute models have completely changed the panorama. Models select features in their own unique way, saving countless hours of manual work. Object identificat…