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We propose an end-to-end deep learning model, Sinc-multibranch-attention network (SMANet), which combines a SincNet, a multibranch spatial-temporal convolutional neural network (MBSTCNN), and an ...
In order to make the materials more efficient, at the same time, heat transport via the lattice vibrations must be suppressed and the mobility of the electrons increased—a hurdle that has often ...
Counts 100% It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses:BIOS9913, MBV4240 – Biochemical mechanisms in ...
Department of Chemistry - Ångström Laboratory, Uppsala University, Box 538, SE-751 21 Uppsala, Sweden ...
Department of Thermal Science and Energy Engineering, University of Science and Technology of China (USTC), Hefei 230026, Anhui, China ...
Based upon the comprehensive and in-depth analysis of the ocean’s time-varying dynamic environment, we proposed a multihead ProbSparse self-attention mechanism (MPSM)-based Model to predict and ...
We show that two independent mechanisms ... (Equations 1–3). Our model confirms, in a 2D setting, that a sub-cellular auxin-dependent activation of ROPs promoted by an intracellular auxin gradient ...
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