Deep neural network modeling for accurate electric motor temperature prediction

S Hosseini, A Shahbandegan… - 2022 IEEE Canadian …, 2022 - ieeexplore.ieee.org
Electric motors are becoming widely used in many different applications, such as electric
cars, and turbines. Measuring the temperature of internal components of an electric motor …

Accurate flow regime classification and void fraction measurement in two-phase flowmeters using frequency-domain feature extraction and neural networks

S Hosseini, AM Iliyasu, T Akilan, AS Salama… - Separations, 2022 - mdpi.com
Two-phase flow is very important in many areas of science, engineering, and industry. Two-
phase flow comprising gas and liquid phases is a common occurrence in oil and gas related …

Xcrum: A Synergistic Approach Integrating Extreme Programming with Scrum

S Hosseini - arXiv preprint arXiv:2310.03248, 2023 - arxiv.org
In today's modern world, software plays a pivotal role. Software development is a highly
complex and time-consuming process, demanding multidimensional efforts. Companies …

Advanced deep regression models for smart operation of the oil and gas industry

S Hosseini - 2023 - knowledgecommons.lakeheadu.ca
The first industrial revolution in the early 18th century largely exploited steam power to
replace animal labor. Since then, there has been rapid development in industrial operations …