Výsledky vyhledávání - Sparse autoencoder - stacked contractive autoencoder

Network intrusion detection based on Contractive Sparse Stacked Denoising Autoencoder Autor Lu, Jizhao, Meng, Huiping, Li, Wencui, Liu, Yue, Guo, Yihao, Yang, Yang

“… identify and classify network intrusion data, this paper proposes a Contractive Sparse Stack Denoising Autoencoder(CSSDAE…”
Získat plný text

Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-based Bidirectional LSTM Autor Bi, Jing, Guan, Ziyue, Yuan, Haitao

“… SABD integrates Stacked sparse contractive autoencoders, Attention-based Bidirectional long-term and short-term memory (LSTM…”
Získat plný text

Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders Autor Bi, Jing, Guan, Ziyue, Yuan, Haitao, Zhang, Jia

“… SABD integrates Stacked sparse contractive autoencoders (SSCA), Attention-based Bidirectional long-term and short-term memory (LSTM…”
Získat plný text

Enhanced fault detection in digital VLSI circuits using convolutional autoencoders Autor Savalam, Chandrasekhar, Medisetti, Sanjay, Korapati, Prasanti

“… A Convolutional Autoencoder (CAE) is employed to extract spatial and structural features from circuit test patterns, effectively reducing dimensionality while preserving fault-related information…”
Získat plný text

An Overview of Unsupervised Deep Feature Representation for Text Categorization Autor Wang, Shiping, Cai, Jinyu, Lin, Qihao, Guo, Wenzhong

“…High-dimensional features are extensively accessible in machine learning and computer vision areas. How to learn an efficient feature representation for…”
Získat plný text

Deep-Learning-Enabled Security Issues in the Internet of Things Autor Lv, Zhihan, Qiao, Liang, Li, Jinhua, Song, Houbing

“…), stacked contractive autoencoder (SCAE), stacked sparse autoencoder (SSAE), deep belief network (DBN…”
Získat plný text

Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation Autor Vaiyapuri, Thavavel, Binbusayyis, Adel

“… Intuitively, unsupervised deep learning approaches has received gaining momentum. Specifically, the advances in deep learning has endowed autoencoder (AE…”
Získat plný text

Sparsely connected autoencoder Autor Gupta, Kavya, Majumdar, Angshul

“… For classification we have compared against stacked autneencoders, contractive autoencoders, deep belief network, sparse deep neural network and optimal brain damage neural network…”
Získat plný text

An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature Fusion Based on Information Entropy Autor Shang, Zhiwu, Li, Wanxiang, Gao, Maosheng, Liu, Xia, Yu, Yan

“… First, a normal autoencoder, denoising autoencoder, sparse autoencoder, and contractive autoencoder are used in parallel to construct a multi-scale deep neural network feature extraction structure…”
Získat plný text

Blockchain and Deep Learning Empowered Secure Data Sharing Framework for Softwarized UAVs Autor Kumar, Prabhat, Kumar, Randhir, Kumar, Abhinav, Franklin, A. Antony, Jolfaei, Alireza

“…Softwarized Unmanned Aerial Vehicles (UAVs) use network programmability concept of Software-Defined Network (SDN) to separate the hardware control layer from…”
Získat plný text

Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning Autor Singhal, Vanika, Majumdar, Angshul

“…The concept of deep dictionary learning (DDL) has been recently proposed. Unlike shallow dictionary learning which learns single level of dictionary to…”
Získat plný text

An Adaptive Service Classification Method Based on Stacked Hybrid Auto-Encoder Autor Li, Jing, Zhang, Zhi, Zhang, Tiankui

“…In this paper, we investigate the problem of communication services classification and propose an adaptive service classification method which is based on stacked hybrid autoencoder (SHAE…”
Získat plný text

A Novel Deep Feature Learning Method Based on the Fused-Stacked AEs for Planetary Gear Fault Diagnosis Autor Chen, Xihui, Ji, Aimin, Cheng, Gang

“… In this paper, a novel deep feature learning method based on the fused-stacked autoencoders (AEs) for planetary gear fault diagnosis was proposed…”
Získat plný text

Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning Autor Singhal, Vanika, Majumdar, Angshul

“…The concept of deep dictionary learning has been recently proposed. Unlike shallow dictionary learning which learns single level of dictionary to represent the…”
Získat plný text