Výsledky vyhľadávania - Multi-scale conventional autoencoder~

Design of multi-scale receptive field convolutional neural network for surface inspection of hot rolled steels Autor He, Di, Xu, Ke, Wang, Dadong

“… A group of AutoEncoders are trained to reduce the dimension of the extracted multi-scale features which improve the generalization ability under insufficient training samples…”
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Optimal Spectrum Sensing Framework for Cognitive Radio Networks Using Attention‐Based Autoencoder With Multi‐Scale Capsule Network Autor Rao, R. Koteswara, Sahaai, Madona B.

“… In addition, the conventional models cause high computational complexity in the SS. In this work, an adaptive SS system for CR networks is developed to identify unused bands of frequencies in order to get outside of these constraints…”
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A convolutional autoencoder model with weighted multi-scale attention modules for 3D skeleton-based action recognition Autor Khezerlou, F., Baradarani, A., Balafar, M.A.

“…The 3D skeleton sequences of action can be recognized based on series of meaningful movements including changes in the direction and geometry features of the…”
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Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data Autor Zhao, Chen, Su, Kuan-Jui, Wu, Chong, Cao, Xuewei, Sha, Qiuying, Li, Wu, Luo, Zhe, Qing, Tian, Qiu, Chuan, Zhao, Lan Juan, Liu, Anqi, Jiang, Lindong, Zhang, Xiao, Shen, Hui, Zhou, Weihua, Deng, Hong-Wen

“… Our approach utilizes a multi-scale variational autoencoder to jointly model the burden score, polygenetic risk score (PGS…”
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Circular RNA-Drug Association Prediction Based on Multi-Scale Convolutional Neural Networks and Adversarial Autoencoders Autor Wang, Yao, Lei, Xiujuan, Chen, Yuli, Guo, Ling, Wu, Fang-Xiang

“… In this study, we propose a circRNA-drug association prediction method based on multi-scale convolutional neural networks (MSCNN…”
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Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data Autor Gao, Di, Yang, Guanghao, Shen, Jiarun, Wu, Fang, Ji, Chao

“…) with multi-sequence learning and multi-scale asynchronous correlation information extraction techniques…”
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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks Autor Sundararajan, Suma Christal Mary, Shankar, Yamini Bhavani, Selvam, Sinthia Panneer, Manogaran, Nalini, Seerangan, Koteeswaran, Natesan, Deepa, Selvarajan, Shitharth

“…The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of…”
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Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system Autor Teutsch, Philipp, Pfeffer, Philipp, Sharifi Ghazijahani, Mohammad, Cierpka, Christian, Schumacher, Jörg, Mäder, Patrick

“… Within the context of reduced-order models, convolutional autoencoders (CAEs) pose a universally applicable alternative to conventional approaches…”
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Video Prediction Using Multi-Scale Deep Neural Networks Autor N. Shayanfar, V. Derhami, M. Rezaeian

“… This architecture is in the broad family of autoencoders. It is comprised of an encoder and decoder…”
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A Variational Multi-Scale Error Compensation Network for Single-Pixel Imaging Autor Lin, Jian, Yan, Qiurong, Zou, Quan, Sun, Shida, Wei, Zhen, Du, Hua

“… In this paper, we propose a Variational Multi-Scale Error Compensation Network (VMSE) based on variational autoencoders…”
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Multi-Scale Reinforcement Learning of Dynamic Energy Controller for Connected Electrified Vehicles Autor Zhang, Hao, Lei, Nuo, Li, Shengbo Eben, Zhang, Junzhi, Wang, Zhi

“…The synergy of reinforcement learning (RL)-based energy management and vehicle-to-everything communication has been proved effective in boosting the fuel…”
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Saliency supervised masked autoencoder pretrained salient location mining network for remote sensing image salient object detection Autor Fu, Yuxiang, Fang, Wei, Sheng, Victor S.

“… However, we observed that the conventional use of masked autoencoder for pretraining encoders through masked image reconstruction yields subpar results in the context of RSI-SOD…”
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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders Autor Sajid, Muhammad, Razzaq Malik, Kaleem, Ur Rehman, Ateeq, Safdar Malik, Tauqeer, Alajmi, Masoud, Haider Khan, Ali, Haider, Amir, Hussen, Seada

“…Although the Transformer architecture has established itself as the industry standard for jobs involving natural language processing, it still has few uses in…”
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Performance enhancement in hydroponic and soil compound prediction by deep learning techniques Autor 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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Multi-scale Residual Segmentation Network for Histopathological Image Autor Bozdağ, Zehra, Talu, Muhammed Fatih

“… Unlike conventional autoencoder approaches, it consists…”
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Autoencoder-based Unsupervised Intrusion Detection using Multi-Scale Convolutional Recurrent Networks Autor Singh, Amardeep, Jang-Jaccard, Julian

“…The massive growth of network traffic data leads to a large volume of datasets. Labeling these datasets for identifying intrusion attacks is very laborious and…”
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Trans-cVAE-GAN: Transformer-Based cVAE-GAN for High-Fidelity EEG Signal Generation Autor Yao, Yiduo, Wang, Xiao, Hao, Xudong, Sun, Hongyu, Dong, Ruixin, Li, Yansheng

“…Electroencephalography signal generation remains a challenging task due to its non-stationarity, multi-scale oscillations, and strong spatiotemporal coupling…”
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Dual-Path Autoencoder-DenseNet Architecture for Robust Object Classification via Background-Free Reconstruction and Multi-Task Feature Fusion Autor Rosli, Hashim, Ali, Rozniza, Hitam, Muhamad Suzuri, Deris, Ashanira Mat

“… The model utilizes a dual-path design, incorporating a DenseNet121 backbone to extract multi-scale features for both image reconstruction and classification tasks…”
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Multi-Task Graph Attention Net for Electricity Consumption Prediction and Anomaly Detection Autor Bai, Na, Zhang, Jian, Wu, Zhaoli

“… (processed via multi-scale attention networks) and volatile…”
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Improving Supervised Microaneurysm Segmentation using Autoencoder-Regularized Neural Network Autor Kasantikul, Rangwan, Kusakunniran, Worapan

“… The proposed method is developed using two levels of the segmentation. First, the coarse-level segmentation stage locates the candidate areas using the multi-scale correlation filter and region growing…”
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