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Alexander Robitzsch
Structural equation models (SEM) are widely used in the social sciences. They model the relationships between latent variables in structural models, while defining the latent variables by observed variables in measurement models. Frequently, it is of int...
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Laura Patricia García-Pineda and Oscar Danilo Montoya
This research deals with the problem regarding the optimal siting and sizing of distribution static compensators (D-STATCOMs) via the application of a master?slave optimization technique. The master stage determines the nodes where the D-STATCOMs must be...
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Li Yu, Liuquan Xu and Xuefeng Jiang
The increasing prevalence of unknown-type attacks on the Internet highlights the importance of developing efficient intrusion detection systems. While machine learning-based techniques can detect unknown types of attacks, the need for innovative approach...
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Xiwen Qin, Dongmei Yin, Xiaogang Dong, Dongxue Chen and Shuang Zhang
Passenger flow is an important benchmark for measuring tourism benefits, and accurate tourism passenger flow prediction is of great significance to the government and related tourism enterprises and can promote the sustainable development of China?s tour...
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Zhen Wang, Fuzhen Sun, Longbo Zhang, Lei Wang and Pingping Liu
In recent years, binary coding methods have become increasingly popular for tasks of searching approximate nearest neighbors (ANNs). High-dimensional data can be quantized into binary codes to give an efficient similarity approximation via a Hamming dist...
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Fedor Krasnov and Alexander Butorin
Sparse spikes deconvolution is one of the oldest inverse problems, which is a stylized version of recovery in seismic imaging. The goal of sparse spike deconvolution is to recover an approximation of a given noisy measurement T = W ∗ r + W 0 ...
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