Výsledky vyhledávání - convolutional LSTM autoencoder

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    ConvAE-LSTM: Convolutional Autoencoder Long Short-Term Memory Network for Smartphone-Based Human Activity Recognition Autor Thakur, Dipanwita, Biswas, Suparna, Ho, Edmond S. L., Chattopadhyay, Samiran

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2022
    Vydáno v IEEE access (2022)
    “…, accelerometer and gyroscope data. Convolutional neural networks (CNNs), autoencoders (AEs), and long short-term memory (LSTM…”
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    The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder Autor Gao, Yangde, Ahmad, Zahoor, Kim, Jong-Myon

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 09.04.2024
    Vydáno v Sensors (Basel, Switzerland) (09.04.2024)
    “…) and a convolutional LSTM autoencoder to achieve the feature extraction, health index analysis, and RUL prediction for rotating machinery…”
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    A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders Autor Essien, Aniekan, Giannetti, Cinzia

    ISSN: 1551-3203, 1941-0050
    Vydáno: Piscataway IEEE 01.09.2020
    “… The model comprises a deep convolutional…”
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    Hybrid convolutional Bi-LSTM autoencoder framework for short-term wind speed prediction Autor Kosana, Vishalteja, Teeparthi, Kiran, Madasthu, Santhosh

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.08.2022
    Vydáno v Neural computing & applications (01.08.2022)
    “… Encoder and decoder are the two parts of the proposed hybrid model. In this study, a one-dimensional convolutional neural network (1D-CNN…”
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    Prediction of Ocean Weather Based on Denoising AutoEncoder and Convolutional LSTM Autor Kim, Ki-Su, Lee, June-Beom, Roh, Myung-Il, Han, Ki-Min, Lee, Gap-Heon

    ISSN: 2077-1312, 2077-1312
    Vydáno: Basel MDPI AG 01.10.2020
    “…The path planning of a ship requires much information, and one of the essential factors is predicting the ocean environment. Ocean weather can generally be…”
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    Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models Autor Kow, Pu-Yun, Liou, Jia-Yi, Sun, Wei, Chang, Li-Chiu, Chang, Fi-John

    ISSN: 0301-4797, 1095-8630, 1095-8630
    Vydáno: England Elsevier Ltd 01.02.2024
    Vydáno v Journal of environmental management (01.02.2024)
    “… This study proposed a novel ConvAE-LSTM model, which fused a Convolutional-based Autoencoder model (ConvAE…”
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    Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders Autor Gallego, Antonio-Javier, Gil, Pablo, Pertusa, Antonio, Fisher, Robert B.

    ISSN: 2072-4292, 2072-4292
    Vydáno: Basel MDPI AG 12.06.2019
    Vydáno v Remote sensing (Basel, Switzerland) (12.06.2019)
    “… The proposed approach introduces a new type of neural architecture named Convolutional Long Short Term Memory Selectional AutoEncoders (CMSAE…”
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    A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM Autor Dasan, Evangelin, Panneerselvam, Ithayarani

    ISSN: 1746-8094, 1746-8108
    Vydáno: Elsevier Ltd 01.01.2021
    “…•Compressing the signal before transmission can reduce the signal transmission cost in wearable technology.•Reduced transmission time can increase the battery…”
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    Multistage Convolutional Autoencoder and BCM-LSTM Networks for RUL Prediction of Rolling Bearings Autor Wang, Zhaozong, Cheng, Jiangfeng, Zheng, Hui, Zou, Xiaofu, Tao, Fei

    ISSN: 0018-9456, 1557-9662
    Vydáno: New York IEEE 2023
    “… This article presents a rolling bearing RUL prediction method based on multistage convolutional autoencoder (MSCAE…”
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    Fall Detection of the Elderly Using Denoising LSTM-Based Convolutional Variant Autoencoder Autor Yi, Myung-Kyu, Han, Kyunghyun, Hwang, Seong Oun

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York IEEE 01.06.2024
    Vydáno v IEEE sensors journal (01.06.2024)
    “…)-based convolutional variational autoencoder (CVAE) model to solve the problem of lack of fall data…”
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    Enhancing Video Anomaly Detection Using Spatio-Temporal Autoencoders and Convolutional LSTM Networks Autor Almahadin, Ghayth, Subburaj, Maheswari, Hiari, Mohammad, Sathasivam Singaram, Saranya, Kolla, Bhanu Prakash, Dadheech, Pankaj, Vibhute, Amol D., Sengan, Sudhakar

    ISSN: 2661-8907, 2662-995X, 2661-8907
    Vydáno: Singapore Springer Nature Singapore 11.01.2024
    Vydáno v SN computer science (11.01.2024)
    “…Identifying suspicious activities or behaviors is essential in the domain of Anomaly Detection (AD). In crowded scenes, the presence of inter-object occlusions…”
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    Novel Soft Smart Shoes for Motion Intent Learning of Lower Limbs Using LSTM With a Convolutional Autoencoder Autor Yang, Jiantao, Yin, Yuehong

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York IEEE 15.01.2021
    Vydáno v IEEE sensors journal (15.01.2021)
    “… This study presents novel soft smart shoes designed for motion intent learning at unspecified walking speeds using long short-term memory with a convolutional autoencoder…”
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    Air Traffic Prediction as a Video Prediction Problem Using Convolutional LSTM and Autoencoder Autor Kim, Hyewook, Lee, Keumjin

    ISSN: 2226-4310, 2226-4310
    Vydáno: Basel MDPI AG 01.10.2021
    Vydáno v Aerospace (01.10.2021)
    “… An autoencoder with convolutional long short-term memory (ConvLSTM) is used, and a mixed loss function technique is proposed to generate better air traffic images than those obtained by using conventional L1 or L2 loss function…”
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    Optimizing dotted Arabic expiration date recognition with ARABEX: a convolutional autoencoder with bidirectional LSTM and CRNN approach Autor Zaki, Hozaifa, Soliman, Ghada

    ISSN: 1433-2833, 1433-2825
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025
    “…In this study, we introduced an approach for Automated Dotted Arabic Expiration Date Extraction using an Optimized Convolutional Autoencoder with a bidirectional LSTM…”
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    Enhanced Intelligent Video Monitoring using Hybrid Integration of Spatiotemporal Autoencoders and Convolutional LSTMs Autor Umale-Nagmote, Ankita, Goel, Charu, Lal, Nidhi

    ISSN: 0350-5596, 1854-3871
    Vydáno: Ljubljana Slovenian Society Informatika / Slovensko drustvo Informatika 01.04.2025
    Vydáno v Informatica (Ljubljana) (01.04.2025)
    “… This paper proposes a hybrid deep learning framework that combines spatial-temporal autoencoders with convolutional LSTMs for automated anomaly detection in surveillance videos…”
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    A deep learning approach for error detection and quantification in extrusion-based bioprinting Autor Bonatti, Amedeo Franco, Vozzi, Giovanni, Kai Chua, Chee, De Maria, Carmelo

    ISSN: 2214-7853, 2214-7853
    Vydáno: Elsevier Ltd 2022
    “… features from a training dataset and generalize to new, unseen data. In this work, we present a novel application of a deep learning model to EBB, namely a convolutional Long Short-Term Memory (LSTM…”
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    FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling Autor Wu, Ping, Miao, Zengdi, Wang, Ke, Gao, Jinfeng, Zhang, Xujie, Lou, Siwei, Yang, Chunjie

    ISSN: 0952-1976
    Vydáno: Elsevier Ltd 15.06.2025
    “… In this study, a spatio-temporal model, termed the feature-aligned stacked convolutional autoencoder with long short-term memory, is proposed to develop soft sensors for nonlinear dynamic industrial processes…”
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    Abnormal Event Detection in Videos using LSTM Convolutional Autoencoder Autor Berroukham, Abdelhafid, Housni, Khalid, Lahraichi, Mohammed

    ISSN: 2768-0754
    Vydáno: IEEE 08.05.2024
    “…This research investigates the application of a novel LSTM Convolutional Autoencoder (LSTM-CAE…”
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