The proton exchange membrane fuel cell systems (PEMFC) s are interesting devices for energy conversion. Recent researches are aimed at developing new monitoring and …
L Rajulapati, S Chinta, B Shyamala… - AIChE …, 2022 - Wiley Online Library
Abstract Model building and parameter estimation are traditional concepts widely used in chemical, biological, metallurgical, and manufacturing industries. Early modeling …
X Yuan, Y Gu, Y Wang - IEEE Transactions on Instrumentation …, 2020 - ieeexplore.ieee.org
Deep belief network (DBN) has recently been applied for soft sensor modeling with its excellent feature representation capacity. However, DBN cannot guarantee that the …
Advanced computational methods are being actively sought to address the challenges associated with the discovery and development of new combinatorial materials, such as …
This paper proposes a novel knowledge-and-data-driven modeling (KDDM) approach for simulating plant growth that consists of two submodels. One submodel is derived from all …
In this paper, system identification is coupled with optimization-based damage detection to provide accurate localization of cracks in thin plates, under dynamic loading. Detection …
Abstract Evaporative Cooling and Free-Cooling technologies have gained a growing interest in air-conditioning systems and they are suitable in different air conditioning …
A Beghi, L Cecchinato, G Dalla Mana, M Lionello… - Energy Procedia, 2017 - Elsevier
Data centers are facilities hosting a large number of servers dedicated to data storage and management. In recent years, their power consumption has increased significantly due to …
This research focuses on the evolving dynamics of the power grid, where traditional synchronous generators are being replaced by non-synchronous power electronic converter …