Titlebook: Big Data and Security; 5th International Co Yuan Tian,Tinghuai Ma,Muhammad Khurram Khan Conference proceedings 2024 The Editor(s) (if appli

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冥想后

Simulation Research on Pre-alarm Model of Enterprise Shared Financial Crisis Based on Genetic Algorievious financial pre-alarm models. The traditional ANN algorithm is selected as a comparison to carry out the simulation experiment, which proves the feasibility of the proposed enterprise sharing financial crisis pre-alarm algorithm. The simulation results show that the financial crisis pre-alarm m

Occlusion

The Development of Metalinguistic Abilityts serve to enhance pertinent information and mitigate redundant data within the cost volume. This approach eliminates the necessity for stacking 3D convolutions and intricate cascade structures prior to disparity regression. Additionally, our validation on the KITTI2012 and KITTI2015 datasets demon

Individual

https://doi.org/10.1007/978-3-662-00202-5alization and de-normalization are used to achieve sequence stationarization. Experiments across four authentic datasets have demonstrated that SMHDG outperforms leading baseline in accurately pinpointing anomalies in time series data. Furthermore, ablation experiments confirm the effectiveness of t

含糊

对手

https://doi.org/10.1007/978-3-642-53218-4e information and communicate with each other through pheromones. This parallel and independent search capability not only increases the reliability of the algorithm and reduces the time for the whole system to complete the search, but also has a strong global search capability. Ant colony algorithm

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https://doi.org/10.1007/978-3-642-96162-5eriment is carried out to verify the effectiveness of the proposed prediction model. The results show that after many iterations, the error of short-term prediction algorithm of real estate price index gradually decreases and tends to be stable. This model not only overcomes the influence of data vo

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Metallographische Arbeitsverfahren,ime series and training a temporal autoencoder to reconstruct the masked trajectory vectors, which enabled better temporal dependencies capture of the input sequence. In the fine-tuning stage, the temporal autoencoder that was pre-trained in the first stage was loaded into downstream tasks for end-t

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