Static
Reliable experimental or high fidelity numerical simulation data is scarce in the literature for non-slender delta wings, which limited a thorough verification of the results. According to Polhamus11, using the leading-edge suction analogy,…
Reliable experimental or high fidelity numerical simulation data is scarce in the literature for non-slender delta wings, which limited a thorough verification of the results. According to Polhamus11, using the leading-edge suction analogy,…
In the present work, we used a low-alloy 42CrSi steel to study a complex microstructure, including a metastable phase. In a previous study, we already investigated and characterized the…
The successful operation of an Internet of Things (IoT) network for healthcare applications, based on game theory, requires the development of a robust working model that can be validated through the use of mathematical expressions and the…
The newly designed all-optical decoders are simulated using two-dimensional finite difference time domain (2D-FDTD) method utilizing FullWAVE tool of RSoft.Photonic.CAD software. The Gaussian optical pulses with optical intensity of 0.5 W/µ
The I0104302 working face of Shuangma Mine has an inclined length of 266.5 m, a strike length of 1241.4 m, and a burial depth of about 300 m. The coal seam…
This section explains each of the implemented machine-learning algorithms.
Figure 2 demonstrates that CNNs represent a novel type of deep learning model crafted to efficiently handle grid-like structured data, rendering…
To investigate the impact of different insulation forms on energy demands, five commonly used wall insulation…
Figure 3 shows the compressive strength of SS pastes under different w/bs. The compressive strength of the low w/b group (SL) and high w/b group (SH) samples under standard curing conditions is generally similar. Although the…
Spelling errors in the text were corrected to ensure consistency in word representation. This step helps in aligning misspelled words with their correct forms, reducing ambiguity during analysis.
Zhang, L., Zhang, H. & Cai, G. The multiclass fault diagnosis of wind turbine bearing based on multisource signal fusion and deep learning generative model[J]. IEEE Trans. Instrum. Meas. 71, 1–12 (2022).