Výsledky vyhledávání - improved conditional variational autoencoder*

Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network Autor Yang, Yanqing, Zheng, Kangfeng, Wu, Chunhua, Yang, Yixian

“… We propose a novel intrusion detection model that combines an improved conditional variational AutoEncoder (ICVAE…”
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The Recommendation Algorithm Based on Improved Conditional Variational Autoencoder and Constrained Probabilistic Matrix Factorization Autor Zhang, Yunfei, Xu, Hongzhen, Yu, Xiaojun

“…An improved recommendation algorithm based on Conditional Variational Autoencoder (CVAE…”
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A Radio Map Estimation Method Based on Improved Conditional Variational Autoencoder Autor An, Zhuang, Dou, Zheng, Liu, Qi, Li, Zhuo

“… To achieve high-precision reconstruction of electromagnetic maps, this study proposes a method based on Conditional Variational Autoencoders (CVAE…”
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A Hybrid Model for QoS Prediction based on Improved Conditional Variational Autoencoder Autor Wu, Mengwei, Lu, Qin, Wang, Yingxue, Wang, Yichao, Chen, Huanyu, Li, Weixiao

“… Therefore, a model for QoS prediction based on improved Conditional Variational Autoencoder is proposed in order to improve the prediction accuracy of missing QoS…”
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Chiller fault diagnosis based on improved variational autoencoder and co-training framework: A case study of insufficient samples Autor Lu, Cheng, Ma, Xiang, Yan, Ke

“… This paper proposes a method based on an improved conditional variational autoencoder (MCVAE) and co-training (CT) ideology to address the issue of insufficient training samples…”
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Anomaly based Intrusion Detection to Enhance IoT Devices Security using LSTM and Radial Basis Function Approach Autor Narayana, G. V. L, G, Sharmila, A, Mohaideen, Sathya, S., Vennila, C., Nishant, Neerav

“…The growing prevalence of IoT devices has rendered their security a paramount issue. Intrusion detection is essential for protecting IoT systems from potential…”
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Design of an Improved Model for Music Sequence Generation Using Conditional Variational Autoencoder and Conditional GAN Autor Ganorkar, Pallavi, Rathkanthiwar, Anagha

“… (such as genre or mood), counteracting in less-ideal generation quality. In this work we address the above limitations and propose a hybrid model incorporating Dynamic Conditional Variational Autoencoder (CVAE) [15…”
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Marginal region-integrated regressive conditional variational autoencoder-generative adversarial network: A soft sensing enhancement method Autor Liu, Guo-yu, Zhu, Qun-Xiong, Luo, Yi, Ke, Wei, He, Yan-Lin, Zhang, Yang, Zhang, Ming-Qing, Xu, Yuan

“… Next, an improved regressive conditional Variational Autoencoder-Generative Adversarial Network (RCVAEGAN…”
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Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder Autor Chen, Yuncheng, Yang, Yingbao, Pan, Xin, Meng, Xiangjin, Hu, Jia

“… In this study, we propose a spatiotemporal fusion network for LST based on a conditional variational autoencoder (CVAE-LSTFM…”
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On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples Autor Zhang, Ying, Liu, Qiang

“… on Improved Conditional Variational Autoencoder (ICVAE) and Borderline Synthetic Minority Oversampling Technique (BSM), called ICVAE-BSM…”
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Daily Power Scenario Generation Method for Multiple Wind Farms Based on Gaussian Mixture Clustering and Improved Conditional Variational Autoencoder Autor Dan LI, Yunyan LIANG, Shuwei MIAO, Zeren FANG, Yue HU, Shuai HE

“… scenario generation method of spatiotemporal power based on the Gaussian mixture model and improved conditional variational autoencoding…”
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Application and Research of Music Generation System Based on CVAE and Transformer-XL in Video Background Music Autor Min, Jun, Gao, Zhiwei, Wang, Lei

“… To improve music generation with long sequences, insightful-unit-conditional variational autoencoder is proposed, which can enhance unit-conditional variational autoencoders with an improved attention mechanism…”
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Design of Metamaterials for Absorbers Based on Variational Autoencoder Autor Li, Qi, Wang, Jianwei, Lei, Tao, Xiang, Tianyu, Qin, Chanchan, Yang, Maoze

“… and meet the requirements of multiple physical spectra. This paper proposes an improved conditional variational autoencoder (conditional VAE…”
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Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction Autor Sang, Yuling, Banerjee, Abhirup, Beetz, Marcel, Grau, Vicente

“… We propose a conditional Variational Autoencoder (cVAE) framework to generate realistic, subject-specific 12-lead ECGs…”
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A balanced mineral prospectivity model of Canadian magmatic Ni (± Cu ± Co ± PGE) sulphide mineral systems using conditional variational autoencoders Autor Nagasingha, Lahiru M.A., Bérubé, Charles L., Lawley, Christopher J.M.

“… We address the data imbalance challenge in MPM by proposing a novel generative modelling approach using a conditional variational autoencoder (CVAE…”
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Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: Data generation, incremental learning, transfer learning, and physics-informed Autor Li, Guannan, Zhan, Lei, Fang, Xi, Gao, Jiajia, Xu, Chengliang, He, Xin, Deng, Jiahui, Xiong, Chenglong

“… The implementation algorithms of four LSTM improved models are conditional…”
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Machine learning-based mechanical performance prediction and design of lattice structures Autor Liu, Yifan, Huang, Wei, Wang, Zhiyong, Zhang, Jie, Liu, Jiayi

“…•An inverse strategy with improved efficiency compared to traditional topology optimization has been developed…”
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Fault detection and diagnosis of energy system based on deep learning image recognition model under the condition of imbalanced samples Autor Ruan, Yingjun, Zheng, Minghua, Qian, Fanyue, Meng, Hua, Yao, Jiawei, Xu, Tingting, Pei, Di

“…•CVAE-GAN was used to augment the fault image samples to balance the training set.•GAF and CVAE-GAN improved the performance of FDD methods to a certain extent…”
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PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation Autor Chatterjee, Soumick, Gaidzik, Franziska, Sciarra, Alessandro, Mattern, Hendrik, Janiga, Gábor, Speck, Oliver, Nürnberger, Andreas, Pathiraja, Sahani

“… This approach makes use of an improved loss function based on statistical distances in a conditional variational autoencoder structure (Probabilistic UNet…”
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Vehicle Network Intrusion Detection Based on K-nearest Neighbor Variational Autoencoder Using Contrastive Learning Autor Duan, Chenyun, Du, Lei, Zeng, Liyi, Gu, Zhaoquan

“…With the continuous development of automotive technology, especially the development of autonomous driving technology, Controller Area Network (CAN) bus has…”
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