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Yuefei Sun, Xianbo Sun, Tao Hu and Li Zhu
Despite the widespread use of artificial intelligence-based methods in detecting electricity theft by smart grid customers, current methods suffer from two main flaws: a limited amount of data on electricity theft customers compared to that on normal cus...
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Irina Cherunova, Nikolai Kornev, Guobin Jia, Klaus Richter and Jonathan Plentz
Two ways of to enhance the heat insulation of cold-protecting garments are studied using the mathematical model, which describes the coupled transport of temperature, humidity, and bound and condensed water. The model is developed in a one-dimensional fo...
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Andry Sedelnikov, Valeria Serdakova, Denis Orlov and Alexandra Nikolaeva
The paper investigates the stress?strain state of a homogeneous rectangular plate after a temperature shock. It is believed that the plate is the first approximation of the solar panel model of a small spacecraft. To study the stress?strain state of the ...
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Tong Lin, Mingying Huo, Naiming Qi, Jianfeng Wang, Tianchen Wang, Haopeng Gu and Yiming Zhang
Electroaerodynamic unmanned aerial vehicles (EAD-UAVs) are innovative UAVs that use high-voltage asymmetric electrodes to ionize air molecules and Coulomb force to push these ions to produce thrust. Unlike fixed-wing and rotor UAVs, EAD-UAVs contain no m...
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Uma Rajasekaran, Mohanaprasad Kothandaraman and Chang Hong Pua
Significant water loss caused by pipeline leaks emphasizes the importance of effective pipeline leak detection and localization techniques to minimize water wastage. All of the state-of-the-art approaches use deep learning (DL) for leak detection and cro...
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