Jiabin Yuan

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Advances in diffraction and transmission electron microscopy (TEM) have greatly improved the prospect of three-dimensional (3D) structure reconstruction from two-dimensional (2D) images or diffraction patterns recorded in a tilt series at atomic resolution. Here, we report a new graphics processing unit (GPU) accelerated iterative transformation algorithm(More)
A key challenge in wireless networks is to control and minimize power. In this paper, we study a total power minimization problem subject to power and Signal-to-Interference-plus-Noise Ratio (SINR) constraints in wireless networks with multiple independent channels. The objective is to minimize the total transmission power of the system while the sum rate(More)
Accurate load forecasting is an important issue for the reliable and efficient operation of a power system. This study presents a hybrid algorithm that combines similar days (SD) selection, empirical mode decomposition (EMD), and long short-term memory (LSTM) neural networks to construct a prediction model (i.e., SD-EMD-LSTM) for short-term load(More)
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