Abstract: We thoroughly investigate the asymptotic distribution of sum of multiple signal-to-interference-plus-noise-ratios (SINRs) that could be applied to the outage performance evaluation of ...
Abstract: Convolution neural network is successful in pervasive vision tasks, including label distribution learning, which usually takes the form of learning an injection from the nonlinear visual ...
libzdock implements a set of utilities and library functions to work with PDB files, and ZDOCK/M-ZDOCK output files. It can be used to perform transformations on PDB structures based on ZDOCK ...
In response to the problem of inadequate utilization of local information in PolSAR image classification using Vision Transformer in existing studies, this paper proposes a Vision Transformer method ...
The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
Creating high-quality polygonal meshes which represent the membrane surface of neurons for both visualization and numerical simulation purposes is an important yet nontrivial task, due to their ...
The long-term operation of a railroad usually leads to defects in its rails, axles, fasteners, etc. These problems directly affect the safety of the rail system. Therefore, it is important to ensure ...
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