Suchergebnisse - 2D-convolutional autoencoder (AE) network

DHCAE: Deep Hybrid Convolutional Autoencoder Approach for Robust Supervised Hyperspectral Unmixing von Hadi, Fazal, Yang, Jingxiang, Ullah, Matee, Ahmad, Irfan, Farooque, Ghulam, Xiao, Liang

“… In this paper, we present a new method for robust supervised HSU based on a deep hybrid (3D and 2D) convolutional autoencoder …”
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Evaluation of deep learning approaches for oil & gas pipeline leak detection using wireless sensor networks von Spandonidis, Christos, Theodoropoulos, Panayiotis, Giannopoulos, Fotis, Galiatsatos, Nektarios, Petsa, Areti

“… First, a 2D-Convolutional Neural Network (CNN) model undertakes supervised classification in spectrograms extracted by the signals acquired by the accelerometers …”
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A Combined Semi-Supervised Deep Learning Method for Oil Leak Detection in Pipelines Using IIoT at the Edge von Spandonidis, Christos, Theodoropoulos, Panayiotis, Giannopoulos, Fotis

“… The objective of the ESTHISIS project is the development of a low-cost and efficient wireless sensor system for the instantaneous detection of leaks in metallic pipeline networks transporting liquid …”
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Conv2D-LSTM-AE-GAN: Convolutional 2D LSTM Auto Encoder Generative Adversarial Network von Swapna.C

“… Surveillance video refers to video footage captured by cameras for the purpose of monitoring and recording activities in specific environments. These videos …”
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Deep learning for video-based assessment of endotracheal intubation skills von Ainam, Jean-Paul, Yanik, Erim, Rahul, Rahul, Kunkes, Taylor, Cavuoto, Lora, Clemency, Brian, Tanaka, Kaori, Hackett, Matthew, Norfleet, Jack, De, Suvranu

“… Methods This study introduces a system for assessing ETI skills using video analysis. The system employs advanced video processing techniques, including a 2D convolutional autoencoder (AE …”
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Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills von Jean-Paul Ainam, Yanik, Erim, Rahul, Rahul, Taylor Kunkes, Cavuoto, Lora, Clemency, Brian, Tanaka, Kaori, Hackett, Matthew, Norfleet, Jack, De, Suvranu

“… First, a 2D convolutional autoencoder (AE) and a pre-trained self-supervision network extract features from videos …”
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Secret Key Generation Driven by Attention-Based Convolutional Autoencoder and Quantile Quantization for IoT Security in 5G and Beyond von Alashqar, Anas, Torshizi, Ehsan Olyaei, Mesleh, Raed, Henkel, Werner

“… channel state information (CSI). Specifically, a two-dimensional convolutional neural network-based autoencoder (2D CNN-AE …”
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Time-frequency Domain Monitoring Method for the Fault of HTS HVDC Systems Based on AI Classifiers von Sim, Yeon-Sub, Chang, Seung Jin

“… Anomalies such as the quench phenomenon can be detected through the anomaly score based on the reconstruction error calculated through the proposed autoencoder(AE) method …”
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Deep learning techniques for hyperspectral image analysis in agriculture: A review von Guerri, Mohamed Fadhlallah, Distante, Cosimo, Spagnolo, Paolo, Bougourzi, Fares, Taleb-Ahmed, Abdelmalik

“… In recent years, there has been a growing emphasis on assessing and ensuring the quality of horticultural and agricultural produce. Traditional methods …”
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Review of Deep Learning Models Based on Hyperspectral Image Classification Techniques in Monitoring Crop Production von Jyoti, Sharma, Akhilesh Kumar, Srivastava, Devesh Kumar

“… the importance of evaluating and ensuring the quality of agricultural and horticultural products has increased in recent years. Conventional techniques that …”
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