Search Results - "Convolution Autoencoder"

Dynamic mechanical response prediction model of honeycomb structure based on machine learning method and finite element method by Shen, Xingyu, Hu, Qianran, Zhu, Difeng, Qi, Shaobo, Huang, Chunyang, Yuan, Mengqi, Qian, Xinming, Guo, Ran

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Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning by Wufeng Xue, Islam, Ali, Bhaduri, Mousumi, Shuo Li

“…Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype…”
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Temporal denoising and deep feature learning for enhanced defect detection in thermography using stacked denoising convolution autoencoder by Yerneni, Naga Prasanthi, Ghali, V.S., Vesala, G.T., Wang, Fei, Mulaveesala, Ravibabu

“…•Temporal denoising of thermal profiles along with deep feature learning for enhanced defect detection in FMTWI is highlighted through a stacked denoising…”
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Online Adaptive Prediction of Human Motion Intention Based on sEMG by Ding, Zhen, Yang, Chifu, Wang, Zhipeng, Yin, Xunfeng, Jiang, Feng

“…Accurate and reliable motion intention perception and prediction are keys to the exoskeleton control system. In this paper, a motion intention prediction…”
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Unknown Cyber Threat Discovery Empowered by Genetic Evolution Without Prior Knowledge by Fang, Wenbo, He, Junjiang, Li, Wenshan, Ma, Wengang, Zhang, Linlin, Lan, Xiaolong, Yang, Geying, Chen, Jiangchuan, Li, Tao

“…With the continuous development of cyber-attack technologies, attackers increasingly exploit zero-day vulnerabilities or leverage emerging techniques to launch…”
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An Accurate and Robust Approach of Device-Free Localization With Convolutional Autoencoder by Zhao, Lingjun, Huang, Huakun, Li, Xiang, Ding, Shuxue, Zhao, Haoli, Han, Zhaoyang

“…Device-free localization (DFL), as an emerging technology that locates targets without any attached devices via wireless sensor networks, has spawned extensive…”
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Fault Feature of Gearbox Vibration Signals Based on Morphological Filter Dynamic Convolution Autoencoder by Yu, Jianbo, Huang, Jiahuan, Liu, Changhui, Xia, Beixin

“…Vibration signals are widely used in fault diagnosis of rotating machinery. Although deep neural networks (DNNs) have been widely used in feature learning of…”
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Multi-Step Short-Term Power Consumption Forecasting Using Multi-Channel LSTM With Time Location Considering Customer Behavior by Shao, Xiaorui, Kim, Chang Soo

“…Short-Term Load Forecasting (STLF) is one critical assignment regarding the power supply and demand in the smart grid. Multi-step STLF provides strong evidence…”
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Early seizure detection in childhood focal epilepsy with electroencephalogram feature fusion on deep autoencoder learning and channel correlations by Jiang, Tiejia, Zhu, Jiahua, Hu, Dinghan, Gao, Weidong, Gao, Feng, Cao, Jiuwen

“…Recognition of epileptic electroencephalogram (EEG) signals is vital to epileptic seizure detection. Current research on seizure detection mostly focused on…”
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Image fusion: A deep Y shaped–residual convolution auto-encoder with MS-SSIM loss function by Devi, M. Gayathri, Akila, I.S.

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Enhanced Prediction of the Remaining Useful Life of Rolling Bearings Under Cross-Working Conditions via an Initial Degradation Detection-Enabled Joint Transfer Metric Network by Qi, Lingfeng, Pan, Jiafang, Huang, Tianping, Zhou, Zhenfeng, Huang, Faguo

“…Remaining useful life (RUL) prediction of rolling bearings is of significance for improving the reliability and durability of rotating machinery. Aiming at the…”
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Anomaly Detection Through Deep Feature Extraction for Automatic Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging by Yerneni, Naga Prasanthi, Ghali, V. S., Swapna, M. N., Vesala, G. T.

“…Thermographic data is highly class-imbalanced and scarce while considering the temporal thermal profiles for automatic defect detection using deep learning…”
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Robust deep learning-based fault detection of planetary gearbox using enhanced health data map under domain shift problem by Hwang, Taewan, Ha, Jong Moon, Youn, Byeng D

“…Abstract The conventional deep learning-based fault diagnosis approach faces challenges under the domain shift problem, where the model encounters different…”
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Autoencoder with Constraints for Subsurface Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging by Bandari, Enosh, Oleti, Siva Subrahmanyam, Prasanthi, Y. Naga, Vesala, G. T., Ghali, V. S.

“…Quadratic Frequency-Modulated Thermographic Wave Imaging (QFMTWI) is a powerful nondestructive testing (NDT) technique based on thermographic principles that…”
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Multi-Label Extreme Learning Machine (MLELMs) for Bangla Regional Speech Recognition by Hossain, Prommy Sultana, Chakrabarty, Amitabha, Kim, Kyuheon, Piran, Md. Jalil

“…Extensive research has been conducted in the past to determine age, gender, and words spoken in Bangla speech, but no work has been conducted to identify the…”
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Lightweight Reconstruction Network for Surface Defect Detection Based on Texture Complexity Analysis by Shi, Hui, Li, Gangyan, Bao, Hanwei

“…Deep learning networks have shown excellent performance in surface defect recognition and classification of certain industrial products. However, most…”
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Semi-2DCAE: a semi-supervision 2D-CNN AutoEncoder model for feature representation and classification of encrypted traffic by Cui, Jun, Bai, Longkun, Li, Guangxu, Lin, Zhigui, Zeng, Penggao

“…Traffic classification is essential in network-related areas such as network management, monitoring, and security. As the proportion of encrypted internet…”
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Advancements in deep structured learning based medical image interpretation by Pasupathy, Vijayalakshmi, Khilar, Rashmita

“…Deep learning is a fast flattering highest development in the machine learning technique leading to augment performance in diverse medical applications. The…”
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Performance enhancement in hydroponic and soil compound prediction by deep learning techniques by Abidi, Mustufa Haider, Chintakindi, Sanjay, Rehman, Ateekh Ur, Mohammed, Muneer Khan

“…The soil quality plays a crucial role in providing essential nutrients for crop growth and ensuring a bountiful yield. Identifying the soil composition, which…”
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Gaussian Mixture with Max Expectation Guide for Stacked Architecture of Denoising Autoencoder and DRBM for Medical Chest Scans and Disease Identification by Jamjoom, Mona, Mahmoud, Abeer M., Abbas, Safia, Hodhod, Rania

“…Artificial intelligence (AI), in particular deep learning, has proven to be efficient in medical diagnosis. This paper introduces a new hybrid deep learning…”
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