Titlebook: Artificial Intelligence and Machine Learning; First International Hai Jin,Yi Pan,Jianfeng Lu Conference proceedings 2024 The Editor(s) (if

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George W. Noblit,Allison Daniel Anders, and the security of their systems is usually reflected in traces, logs, and some monitoring information, which record inter-service interactions and intra-service behaviors, respectively. Existing attack detection methods require a lot of manual intervention to label the data and have a large over

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https://doi.org/10.1007/978-3-031-58827-3 Internet users and developers. SQL injection attack is an attacker implanting malicious SQL statements into legitimate user inputs, which leaks or tampers with the information of the database system, thus leading to serious security problems. To solve the above security problems, this paper carries

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George W. Noblit,Allison Daniel Anders only a very small number of labels and the problem of pseudo-label confirmation bias, we propose a novel SSL method, RSCC, which combines the powerful representation learning capability of contrast learning with augmentation consistency regularization methods and introduces a symmetric cross-entrop

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Allison Daniel Anders,George W. Noblitance in addressing issues in few-shot settings. Traditional prototypical networks face issues such as inaccurate representation of O-class entities and poor distribution of entity prototypes. This paper presents an Enhanced Prototypical Network (EPN) for few-shot Named Entity Recognition, mainly inc

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George W. Noblit,Allison Daniel Andersporting power energy scheduling and market transactions. However, as key data acquisition devices, the operation performance of ultra-high voltage substation energy meters exhibits instability under different environmental conditions, and even small metering errors can lead to significant discrepanc

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Allison Daniel Anders,George W. Noblit that combines Vision Transformer (ViT) and GAN. This network can accurately identify missing facial features and perform detailed and efficient restoration. Secondly, for the task of expression recognition, a more robust dynamic expression recognition network is trained by cascading ViT with a Two-

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Crafting a Postcritical Compassy used a deep learning approach to automatically identify and analyze three visu-ally distinct behaviors (exiting behavior, wandering behavior, and entering be-havior) in dolphins. Using data directly from video recordings by both drones and handheld cameras, an action recognition model trained on t