成绩上升 发表于 2025-3-25 04:23:29
Hyperpolarizabilities of LiNbO,, LiTaO, and KNbO, calculated from First Principlesblue-shift the calculated spectral features and reduce their intensity. A comparison of the linear and nonlinear optical response suggests that the spectra can be understood by multi-photon adsorption within the fundamental bandgap of the modeled ferroelectric oxides.向宇宙 发表于 2025-3-25 08:57:34
http://reply.papertrans.cn/43/4264/426365/426365_22.pnginsolence 发表于 2025-3-25 13:46:41
es. The developed method used three deep convolutional neural networks named DCNN1, DCNN2, and DCNN3, three deep convolutional neural networks combined with deep recurrent neural networks named DCNN-RNN1, DCNN-RNN2, and DCNN-RNN3, and two autoencoder neural networks named AE1 and AE2, to maximize th无意 发表于 2025-3-25 18:37:17
http://reply.papertrans.cn/43/4264/426365/426365_24.pngGudgeon 发表于 2025-3-25 21:18:23
http://reply.papertrans.cn/43/4264/426365/426365_25.pngfarewell 发表于 2025-3-26 01:49:04
Simone Albanesi,Sebastiano Bernuzzi,Boris Daszuta,Rossella Gamba,Alessandro Nagar,Francesco Zappaith dominant dead time. Due to the non-linearity generated by the dead time, the application of an additional Smith Predictor structure is proposed to improve the system’s response when reference changes and disturbances occur around the operating point in which the system works. The controller is v诽谤 发表于 2025-3-26 04:37:39
http://reply.papertrans.cn/43/4264/426365/426365_27.png和平主义者 发表于 2025-3-26 09:20:17
A. U. J. Lode,O. E. Alon,A. Bhowmik,M. Büttner,L. S. Cederbaum,R. Chitra,S. Dutta,D. Jaksch,H. Kesslence efforts are generally made by medical professionals in order to prevent them. These endeavors are especially critical in the case of chronic conditions, such as diabetes. Recent developments in machine learning have been successful at predicting readmissions from the medical history of the diab灵敏 发表于 2025-3-26 15:10:13
Szabolcs Borsanyi,Zoltan Fodor,Jana Günther,Sandor D. Katz,Attila Pasztor,Paolo Parotto,Ruben Kara,Cdeo flows? This work analyze techniques to accelerate a counting system for mobility actors like cars, pedestrians, motorcycles, bicycles, buses, and trucks in the context of an Edge computing application using deep learning. To solve this problem this study presents the analysis and implementation皱痕 发表于 2025-3-26 17:38:08
deo flows? This work analyze techniques to accelerate a counting system for mobility actors like cars, pedestrians, motorcycles, bicycles, buses, and trucks in the context of an Edge computing application using deep learning. To solve this problem this study presents the analysis and implementation