A novel intrusion detection model for the CAN bus packet of in-vehicle network based on attention mechanism and autoencoder Digit. Commun. Netw. (2023) U.A. Upstream security's 2021 global automotive cybersecurity report E. Aliwa et al. Cyberattacks and countermeasures for in-vehicle networks...
Duan YH, Li HH, He MQ, Zhao DD (2021) A BiGRU Autoencoder Remaining Useful Life Prediction Scheme With Attention Mechanism and Skip Connection. IEEE Sens J 21(9):10905–10914. https://doi.org/10.1109/JSEN.2021.3060395 Article Google Scholar Xue B, Xu FM, Huang X, Xu ZB, Zhang X...
memory (LSTM) to get a better representation of protein and compound. DeepCDA encodes the binding strength by utilizing a two-sided attention mechanism and tries to improve the generalization ability by utilizing a domain adaptation technique. In this paper, we propose a similarity-based model to ...
According to the dual-mechanism view, different kinds of processes underlie the two types ofjudgments. That is, while sim- ilarity judgments are presumably based almost exclu- sively on a matching process (this is similarity-based categorization), categorization judgments also reflect a rule ...
Recent studies for this purpose use the cross-attention mechanism [4], [7], [9] to determine which parts of each image should be focused on when comparing if two images belong to the same class. This strategy also helps the model to be generalized, potentially reducing the risk of ...
Today, when XML gains more and more attention, new concurrency control methods for accessing X... P Pleshachkov,P Chardin,S Kuznetsov - Springer Berlin Heidelberg 被引量: 37发表: 2005年 Real-Time Database - Similarity Semantics and Resource Scheduling resource management, in particular, the ...
(LLM) technologies, led by GPT, continue to receive attention, a significant amount of funding has also been invested in research in similar fields. In March 2023, GPT-4 was released, adding visual and auditory perception to the capabilities of ChatGPT1. Currently, most research based on LLM...
Although many task allocation approaches have been presented to deal with this multi-agent task allocation problem, the similarity among tasks has not been paid much attention. Hence in this paper, we propose an efficient task similarity-based learning approach for task allocation in multi-agent ...
leading to a slowdown at the retrieval site in the activation-based model, and/or to misretrieval in both the activation-based and the direct-access model. In the DA model, which assumes backtracking as a key resource in parsing, resource reductions could disrupt this mechanism and lead to ...
As a result, more and more attention is being paid to the development of machine learning-based computational models for predicting potential miRNA-disease associations. Herein, we sought to propose a matrix factorization-based computational framework, SMAP, an efficient and scalable method for ...