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Accurate Modeling of Antenna Structures by Means of Domain Confinement and Pyramidal Deep Neural Networks
(Institute of Electrical and Electronics Engineers Inc., 2022)
The importance of surrogate modeling techniques has been gradually increasing in the design of antenna structures over the recent years. Perhaps the most important reason is a high cost of full-wave electromagnetic (EM) ...
Effect of Exhaust Backpressure on Performance of a Diesel Engine: Neural Network based Sensitivity Analysis
(Korean Society of Automotive Engineers, 2022)
Various types of emission-reducing systems or waste heat recovery systems installed on exhaust pipes of internal combustion engines are a source of high exhaust gas backpressure. Increased backpressure can cause negative ...
Overview of smart home concepts through energy management systems, numerical research, and future perspective
(Taylor and Francis Ltd., 2022)
The concept of smart homes is considered either to enhance life quality of people or to ensure energy management of buildings, where intelligent technologies are used to achieve the comfort and energy management aims in ...
Investigation of the wear behavior of FeNi36 alloy cut by WEDM method under different loads
(Emerald Publishing, 2023)
PurposeFeNi36 (Invar-36) alloy is widely used in the fabrication of molding tools in aerospace industries but there remains a need to improve its wear and friction performance due to its relatively low hardness. The formation ...