Výsledky vyhledávání - "Convolutional variational autoencoder"

Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions Autor Yan, Xiaoan, She, Daoming, Xu, Yadong

“…•A novel model named DOWCVAE is proposed for bearing fault identification.•An optimizer hailed as MOGWO is introduced for parameter adaptive selection.•Our…”
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A data-driven methodology for bridge indirect health monitoring using unsupervised computer vision Autor Hurtado, A. Calderon, Alamdari, M. Makki, Atroshchenko, E., Chang, K.C., Kim, C.W.

“…In recent years, researchers have extensively explored the application of drive-by inspection technology for bridge damage assessment. This approach involves…”
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A Zero-Shot Fault Detection Method for UAV Sensors Based on a Novel CVAE-GAN Model Autor Li, Chuanjiang, Luo, Kai, Yang, Lei, Li, Shaobo, Wang, Haoyu, Zhang, Xiangjie, Liao, Zihao

“…Unmanned aerial vehicles (UAVs) have demonstrated remarkable versatility across a spectrum of missions, and their autonomous flight and real-time control…”
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Characterization of discrete fracture networks with deep-learning based hydrogeophysical inversion Autor Deng, Yaping, Kang, Xueyuan, Ma, Haichun, Qian, Jiazhong, Ma, Lei, Luo, Qiankun

“…•A deep-learning based parameterization method is utilized to map high-dimensional fracture parameters space into low-dimensional latent variables.•A joint…”
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Non-Invasive Detection of Rotor Inter-Turn Short Circuit in Large Hydrogenerators by Using Stray Flux Measurement Combined With Convolutional Variational Autoencoder Analysis (CVAE) Autor Bechara, Helene, Zemouri, Ryad, Kedjar, Bachir, Merkhouf, Arezki, Al-Haddad, Kamal, Tahan, Antoine

“…Salient Pole Synchronous Generators (SPSG) are known for their robustness and stability; However, internal faults like rotor interturn short circuits (ITSC)…”
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Evolving Deep Convolutional Variational Autoencoders for Image Classification Autor Chen, Xiangru, Sun, Yanan, Zhang, Mengjie, Peng, Dezhong

“…Variational autoencoders (VAEs) have demonstrated their superiority in unsupervised learning for image processing in recent years. The performance of the VAEs…”
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Fault Classification in High-Dimensional Complex Processes Using Semi-Supervised Deep Convolutional Generative Models Autor Ko, Taeyoung, Kim, Heeyoung

“…In complex industrial processes, process fault detection and classification constitute an important task for reducing production costs and improving product…”
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CVAE-DF: A hybrid deep learning framework for fertilization status detection of pre-incubation duck eggs based on VIS/NIR spectroscopy Autor Wang, Dongqiao, Wang, Qiaohua, Chen, Zhuoting, Guo, Juncai, Li, Shijun

“…[Display omitted] •A Convolutional Variational Autoencoder was built for better feature extraction.•The base classifiers of Deep Forest were upgraded to…”
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History matching of a three dimensional channelized reservoir using a beta-convolutional variational autoencoder and ensemble smoother with multiple data assimilation Autor Ahn, Youngbin, Choe, Jonggeun, Min, Baehyun

“…Three-dimensional channelized reservoir characterization is challenging because complex channel patterns, vertical interaction of reservoir properties, and…”
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Characterization of the non-Gaussian hydraulic conductivity field via deep learning-based inversion of hydraulic-head and self-potential data Autor Han, Zheng, Kang, Xueyuan, Wu, Jichun, Shi, Xiaoqing

“…•A deep learning-based hydrogeophysical inversion framework is developed.•Using limited head data may lose the fine structure of channelized…”
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Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother Autor Kang, Xueyuan, Kokkinaki, Amalia, Kitanidis, Peter K., Shi, Xiaoqing, Lee, Jonghyun, Mo, Shaoxing, Wu, Jichun

“…Detailed characterization of dense nonaqueous phase liquid (DNAPL) source zone architecture (SZA) is essential for designing efficient remediation strategies…”
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CNN-LSTM-Based Fault Diagnosis and Adaptive Multichannel Fusion Calibration of Filament Current Sensor for Mass Spectrometer Autor Li, Xinshuo, Li, Pinghua, Zhang, Zhen, Yin, Jiancheng, Sheng, Yunlong, Zhang, Luoxuan, Zhou, Wenxing, Zhuang, Xuye

“…The mass spectrometer filament current sensor reflects the health status of the filament by detecting real-time variation in filament current, providing an…”
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Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming Autor Ramezankhani, Milad, Harandi, Mehrtash, Seethaler, Rudolf, Milani, Abbas S.

“…Data in advanced manufacturing are often sparse and collected from various sensory devices in a heterogeneous and multi-modal fashion. Thus, for such intricate…”
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Innovative Ultrasound Image Denoising Using Channel Attention and Variational Autoencoders Autor Slimi, Taher, Baoues, Emna Ben, Khalifa, Anouar Ben

“…Speckle noise in ultrasound images compromises image quality and hinders diagnostic accuracy. Traditional ultrasound denoising methods often struggle to…”
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Inverse design of reflective metasurface antennas using deep learning from small‐scale statistically random pico‐cells Autor You, Xi Chong, Lin, Feng Han

“…A small‐scale data‐selection method is proposed for deep‐learning‐based inverse design of reflective metasurface antennas (MAs). The overall design process…”
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Unsupervised few shot learning architecture for diagnosis of periodontal disease in dental panoramic radiographs Autor Kim, Min Joo, Chae, Sun Geu, Bae, Suk Joo, Hwang, Kyung-Gyun

“…In the domain of medical imaging, the advent of deep learning has marked a significant progression, particularly in the nuanced area of periodontal disease…”
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Automated construction of Wi-Fi-based indoor logical location predictor using crowd-sourced photos with Wi-Fi signals Autor Kumrai, Teerawat, Korpela, Joseph, Zhang, Yizhe, Ohara, Kazuya, Murakami, Tomoki, Abeysekera, Hirantha, Maekawa, Takuya

“…Owing to the recent proliferation of smartphones and the SNS, a large number of images taken by smartphones at various places have been uploaded to SNSs. In…”
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A comparison study on anomaly detection methods in manufacturing process monitoring with X-ray images Autor Huang, Congfang, Blondheim, David, Zhou, Shiyu

“…Process monitoring and anomaly detection in manufacturing production systems are of vital importance in the consistency, reliability, and quality of…”
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Learning Latent Representation of Freeway Traffic Situations from Occupancy Grid Pictures Using Variational Autoencoder Autor Rákos, Olivér, Bécsi, Tamás, Aradi, Szilárd, Gáspár, Péter

“…Several problems can be encountered in the design of autonomous vehicles. Their software is organized into three main layers: perception, planning, and…”
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A multimodal deep fusion graph framework to detect social distancing violations and FCGs in pandemic surveillance Autor Varghese, Elizabeth B., Thampi, Sabu M.

“…In pandemic surveillance, ensuring social distance has emerged as a challenging issue due to the lack of proper therapeutic agents, and this envisages the need…”
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