Results 21 to 30 of about 234,412 (208)
Multilayer Fisher extreme learning machine for classification
Complex & Intelligent Systems, 2022 As a special deep learning algorithm, the multilayer extreme learning machine (ML-ELM) has been extensively studied to solve practical problems in recent years.
Jie Lai +4 more
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Autoencoder-based characterization of QCD multijet background at the LHC [PDF]
, 2023 openA proof of principle for the application of autoencoders in encoding high-dimensional multijet data is presented. A simulation with events containing four b-quark QCD jets is used to train the autoencoder. The reconstruction of events after a reduced
MARINĚO VILLADAMIGO, JAVIER
core
Applied Sciences, 2019 Complete characteristic curves of a pump turbine are fundamental for improving the modeling accuracy of the pump turbine in a pump turbine governing system.
Chu Zhang +4 more
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MLP-Mixer-Autoencoder: A Lightweight Ensemble Architecture for Malware Classification
Information, 2023 Malware is becoming an effective support tool not only for professional hackers but also for amateur ones. Due to the support of free malware generators, anyone can easily create various types of malicious code.
Tuan Van Dao, Hiroshi Sato, Masao Kubo
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An online deep extreme learning machine based on forgetting mechanism
Dianzi Jishu Yingyong, 2018 The development of deep learning promotes the development of deep online learning, and online learning tends to have strong effectiveness. Based on the principle of online extreme learning machine and the principle of autoencoder of deep extreme learning
Liu Buzhong
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Anomaly Detection of Metallurgical Energy Data Based on iForest-AE
Applied Sciences, 2022 With the proliferation of the Internet of Things, a large amount of data is generated constantly by industrial systems, corresponding in many cases to critical tasks.
Zhangming Xiong +4 more
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OF-AE: Oblique Forest AutoEncoders
, 2023 In the present work we propose an unsupervised ensemble method consisting of oblique trees that can address the task of auto-encoding, namely Oblique Forest AutoEncoders (briefly OF-AE). Our method is a natural extension of the eForest encoder introduced in [1].
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AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection
IEEE Access, 2023 Structured Query Language (SQL) injection attacks represent a critical threat to database-driven applications and systems, exploiting vulnerabilities in input fields to inject malicious SQL code into database queries. This unauthorized access enables attackers to manipulate, retrieve, or even delete sensitive data.
Nisrean Thalji +4 more
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AE-CGAN Model based High Performance Network Intrusion Detection System
Applied Sciences, 2019 In this paper, a high-performance network intrusion detection system based on deep learning is proposed for situations in which there are significant imbalances between normal and abnormal traffic.
JooHwa Lee, KeeHyun Park
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Proceedings of the ACM Conference on Health, Inference, and Learning, 2020 Systematic review (SR) is an essential process to identify, evaluate, and summarize the findings of all relevant individual studies concerning health-related questions. However, conducting a SR is labor-intensive, as identifying relevant studies is a daunting process that entails multiple researchers screening thousands of articles for relevance.
Eric Wonhee Lee +3 more
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