Výsledky vyhledávání - "convolutional neural network autoencoder"

Model order reduction of building energy simulation models using a convolutional neural network autoencoder Autor Banihashemi, Farzan, Weber, Manuel, Lang, Werner

“… This paper introduces a novel approach to model order reduction (MOR) of BES models. The approach utilizes a deep learning-based unsupervised convolutional neural network autoencoder (CNN-AE…”
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Data-driven modeling of transonic nonlinear flutter via convolutional neural network autoencoder Autor Peng, Zhijie, Yao, Xiangjie, Liu, Haojie, Huang, Rui

“… and the generation of concise temporal models. The data-driven modeling initially employs a convolutional neural network autoencoder (CNN-AE…”
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Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture Autor Saponara, Sergio, Elhanashi, Abdussalam, Zheng, Qinghe

“… In this work, a convolutional neural network autoencoder has been used to reconstruct fingerprint images…”
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CAD-Skin: A Hybrid Convolutional Neural Network–Autoencoder Framework for Precise Detection and Classification of Skin Lesions and Cancer Autor Khan, Abdullah, Sajid, Muhammad Zaheer, Khan, Nauman Ali, Youssef, Ayman, Abbas, Qaisar

“…Skin cancer is a class of disorder defined by the growth of abnormal cells on the body. Accurately identifying and diagnosing skin lesions is quite difficult…”
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High-Resolution Daily XCH4 Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data Autor Awad, Mohamad M., Homayouni, Saeid

“…Atmospheric methane (CH4) concentrations have increased to 2.5 times their pre-industrial levels, with a marked acceleration in recent decades. CH4 is…”
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Plantar Pressure-Based Gait Recognition with and Without Carried Object by Convolutional Neural Network-Autoencoder Architecture Autor Wu, Chin-Cheng, Tsai, Cheng-Wei, Wu, Fei-En, Chiang, Chi-Hsuan, Chiou, Jin-Chern

“… To improve the disadvantage, we proposed a convolutional neural network autoencoder (CNN-AE) architecture for user classification based on plantar pressure gait recognition…”
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Cascade Convolutional Neural Network - Autoencoder Method for Parkinson’s Disease Detection Using Multilingual Voice Signal Autor Pandey, Pandit Vivek Kumar, Sahu, Sitanshu Sekhar

“…Parkinson’s disease (PD) is a neurodegenerative disorder that hampers both motor and non-motor activities in human body. Speech signal has been used as a…”
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Adaptive hybrid convolutional neural network-autoencoder framework for backdoor detection in GenAI-driven semantic communication systems Autor El Alami, Hassan, Rawat, Danda B.

“…Semantic communication systems, powered by Generative AI (GenAI), enable the efficient transmission of semantic meaning rather than raw data. However, these…”
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High-Resolution Daily XCH[sub.4] Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data Autor Awad, Mohamad M, Homayouni, Saeid

“…Atmospheric methane (CH[sub.4] ) concentrations have increased to 2.5 times their pre-industrial levels, with a marked acceleration in recent decades…”
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A 3d convolutional neural network autoencoder for predicting solvent configuration changes in condensed phase biomass reactions Autor Puliyanda, Anjana, Devan Padmanathan, Arul Mozhi, Mushrif, Samir H, Prasad, Vinay

“…Configuration changes in the solvent or melt-phase (condensed phase reactions) molecules impact reaction thermodynamics and kinetics, making it vital to assess…”
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Multivariate time-series cyberattack detection in the distributed secondary control of AC microgrids with convolutional neural network autoencoder ensemble Autor Roshanzadeh, Behshad, Choi, Jeewon, Bidram, Ali, Martínez-Ramón, Manel

“…This paper proposes an unsupervised machine learning-based approach for cyberattack detection in AC microgrids with distributed secondary control architecture…”
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Anomaly-Based Drone Classification Using a Model Trained Convolutional Neural Network Autoencoder on Radar Micro-Doppler Autor Karlsson, Alexander, Jansson, Magnus, Hamalainen, Mikael

“…We present an anomaly-based drone classification scheme. High dimensional spectrum data is encoded using a convolutional neural network autoencoder…”
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DOC-IDS: A Deep Learning-Based Method for Feature Extraction and Anomaly Detection in Network Traffic Autor Yoshimura, Naoto, Kuzuno, Hiroki, Shiraishi, Yoshiaki, Morii, Masakatu

“…With the growing diversity of cyberattacks in recent years, anomaly-based intrusion detection systems that can detect unknown attacks have attracted…”
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Optimization of time-of-use electricity tariffs for multi-type consumers using price-based demand response and consumer classification model Autor Lv, Yuhua, Fang, Yuqian

“… Firstly, a joint classification model for multi-type consumers is constructed based on convolutional neural network autoencoder and hierarchical clustering algorithm…”
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Driver distracted detection using a new hybrid deep convolutional neural network based on Autoencoder Autor Hassam, Dhulfekar Dhurgham, Mohamme, Ayas Talib, Sadiq, Arcelan S, Salman, Baraa Yousif

“…Driver distraction is a leading cause of traffic accidents and therefore requires automatic detection mechanisms. Deep learning-based methods, such as CNNs,…”
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Unveiling Irregular Heart Rhythms: Utilizing a Pretrained ResNet50 Convolutional Neural Network Autoencoder Strategy for Detecting Anomalies in ECG Signals Autor Agarwal, Muskan, Gill, Kanwarpartap Singh, Aggarwal, Priyanshi, Rawat, Ramesh Singh

“…This study examines the application of ResNet50 (CNN) Autoencoders for identifying abnormalities in electrocardiogram (ECG) data using the PTB Diagnostic ECG…”
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Deep Learning for Abnormal Crowd Behavior Detection:A Review Autor XU Tao, TIAN Chong-yang, LIU Cai-hua

“…With the increasing demand of security industry,abnormal crowd behavior detection has become a hot research issue in computer vision.Abnormal crowd behavior…”
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Anomaly Detection of Hydropower Bearing Based on Convolutional Neural Network Autoencoder Autor Wang, Hongteng, Wang, Lianfang, Ma, Liyong

“…Hydropower has become an important energy supply method due to its advantages of pollution-free, renewable, and abundant resources. With the development of…”
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Convolutional Autoencoder for Spectral-Spatial Hyperspectral Unmixing Autor Palsson, Burkni, Ulfarsson, Magnus O., Sveinsson, Johannes R.

“…). In this article, we present a new spectral-spatial linear mixture model and an associated estimation method based on a convolutional neural network autoencoder unmixing (CNNAEU…”
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Nonlinear mode decomposition with convolutional neural networks for fluid dynamics Autor Murata, Takaaki, Fukami, Kai, Fukagata, Koji

“…We present a new nonlinear mode decomposition method to visualize decomposed flow fields, named the mode decomposing convolutional neural network autoencoder (MD-CNN-AE…”
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