Search Results - "Autoencoder neural network"

State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks by Fasahat, Mohammad, Manthouri, Mohammad

“…The state of charge (SOC) of a battery indicates its useable capacity. In the case of lithium-ion batteries, an accurate estimate improves their performance…”
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Data-driven physical fields reconstruction of supercritical-pressure flow in regenerative cooling channel using POD-AE reduced-order model by Jiang, Wenwei, Pan, Tao, Jiang, Genghui, Sun, Zhaoyou, Liu, Huayu, Zhou, Zhiyuan, Ruan, Bo, Yang, Kai, Gao, Xiaowei

“…•A novel data-driven reduced-order model framework combining proper orthogonal decomposition-based reduced-order modeling method and autoencoder neural network…”
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Detection model transfer of apple soluble solids content based on NIR spectroscopy and deep learning by Guo, Zhiming, Zhang, Yiyin, Wang, Junyi, Liu, Yuanyuan, Jayan, Heera, El-Seedi, Hesham R., Alzamora, Stella M., Gómez, Paula L., Zou, Xiaobo

“…[Display omitted] •An autoencoder neural network model for spectral correction and models transfer.•Cloud-based platform for apple quality assessment using NIR…”
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Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network by Chen, Min, Shi, Xiaobo, Zhang, Yin, Wu, Di, Guizani, Mohsen

“…At present, computed tomography (CT) is widely used to assist disease diagnosis. Especially, computer aided diagnosis (CAD) based on artificial intelligence…”
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Cascade stacked autoencoder neural network for intrusion detection in CAN-FD vehicular network by Devi, V. Anjana, Reddy, P.V. Bhaskar, Ponnada, Sreenu, Kumar, K. Suresh

“…In this work, an Intrusion Detection System (IDS) for Controller Area Network with Flexible Data Rate (CAN-FD) Vehicle Networks based on hybrid Deep Learning…”
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An autoencoder neural network integrated into gravitational-wave burst searches to improve the rejection of noise transients by Bini, Sophie, Vedovato, Gabriele, Drago, Marco, Salemi, Francesco, Prodi, Giovanni A

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Enhancing porphyry copper prospectivity mapping: A deep autoencoder-based approach to identify non-deposit points in varzaghan region, NW Iran by Saremi, Mobin, Maghsoudi, Abbas, Hezarkhani, Ardeshir, Pour, Amin Beiranvand, Hoseinzade, Zohre, Agha Seyyed Mirzabozorg, Seyyed Ataollah, Yousefi, Mahyar

“…[Display omitted] •Comparison of Unsupervised and Expert-Based Methods for Selecting Non-Deposit Points in Mineral Prospectivity Modeling.•Improving the…”
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A novel and efficient risk minimisation-based missing value imputation algorithm by He, Yu-Lin, Yu, Jia-Yin, Li, Xu, Fournier-Viger, Philippe, Huang, Joshua Zhexue

“…Missing value imputation (MVI) is a key task in data science, in which learning models are built from incomplete data. In contrast to externally driven MVI…”
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qModeL: A plug‐and‐play model‐based reconstruction for highly accelerated multi‐shot diffusion MRI using learned priors by Mani, Merry, Magnotta, Vincent A., Jacob, Mathews

“…Purpose To introduce a joint reconstruction method for highly undersampled multi‐shot diffusion weighted (msDW) scans. Methods Multi‐shot EPI methods enable…”
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Abnormal Network Traffic Detection Method Combining Mahalanobis Distance and Autoencoder by LI Beibei, PENG Li, DAI Feifei

“…The existing abnormal traffic detection methods are limited in the accuracy due to the large scale of network traffic data and its imbalanced distribution.To…”
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Adaptive Non-Intrusive Load Monitoring Based on Feature Fusion by Kang, Ju-Song, Yu, Miao, Lu, Lingxia, Wang, Bingnan, Bao, Zhejing

“…Intelligent power management system is an important part of the smart grid, in which the non-intrusive load monitoring technology is one of the key…”
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Health indicator adaptive construction method of rotating machinery under variable working conditions based on spatiotemporal fusion autoencoder by Duan, Yong, Cao, Xiangang, Zhao, Jiangbin, Li, Man, Yang, Xin, Zhao, Fuyuan, Zhang, Xinyuan

“…•Spatiotemporal features are extracted by integrating PyConv and Transformer.•Working condition and individual alignment is used to reduce the feature…”
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Deep learning assisted XRF spectra classification by Andric, Velibor, Kvascev, Goran, Cvetanovic, Milos, Stojanovic, Sasa, Bacanin, Nebojsa, Gajic-Kvascev, Maja

“…EDXRF spectrometry is a well-established and often-used analytical technique in examining materials from which cultural heritage objects are made. The…”
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Correlation reconstruction mechanism based on dual wavelength imaging and neural network by Ye, Hualong, Guo, Daidou

“…In a natural light-field imaging scene, lighting is usually performed using a mixed light field of multiple wavelengths. To better meet the requirements of…”
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Predicting potential microbe–disease associations based on multi-source features and deep learning by Wang, Liugen, Wang, Yan, Xuan, Chenxu, Zhang, Bai, Wu, Hanwen, Gao, Jie

“…Abstract Studies have confirmed that the occurrence of many complex diseases in the human body is closely related to the microbial community, and microbes can…”
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Non-Intrusive System for Honeybee Recognition Based on Audio Signals and Maximum Likelihood Classification by Autoencoder by Libal, Urszula, Biernacki, Pawel

“…Artificial intelligence and Internet of Things are playing an increasingly important role in monitoring beehives. In this paper, we propose a method for…”
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Improved Position Estimation Algorithm of Agricultural Mobile Robots Based on Multisensor Fusion and Autoencoder Neural Network by Gao, Peng, Lee, Hyeonseung, Jeon, Chan-Woo, Yun, Changho, Kim, Hak-Jin, Wang, Weixing, Liang, Gaotian, Chen, Yufeng, Zhang, Zhao, Han, Xiongzhe

“…High-precision position estimations of agricultural mobile robots (AMRs) are crucial for implementing control instructions. Although the global navigation…”
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Network-based approach to detect novelty of scholarly literature by Amplayo, Reinald Kim, Hong, SuLyn, Song, Min

“…We present a method to detect the novelty of a research paper. Because novelty in scholarly literature also examines the larger research community, a…”
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Autoencoder Artificial Neural Network Public Key Cryptography in Unsecure Public channel Communication by Sagar, Vikas, Kumar, Krishan

“…As we all known that cryptography is a procedure to hide data so that it can’t be access or modified by any unauthorized entity. At the present digital world…”
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Attribute mapping and autoencoder neural network based matrix factorization initialization for recommendation systems by Zhao, Jianli, Geng, Xijiao, Zhou, Jiehan, Sun, Qiuxia, Xiao, Yu, Zhang, Zeli, Fu, Zhengbin

“…The recommendation algorithm is attracting increasing attention in analyzing big data. Matrix factorization (MF) is one of the recommendation methods and…”
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