Search Results - improved conditional variational autoencoder

Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network by 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 by 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 by 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 by 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 by 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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Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder by 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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Marginal region-integrated regressive conditional variational autoencoder-generative adversarial network: A soft sensing enhancement method by 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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Design of an Improved Model for Music Sequence Generation Using Conditional Variational Autoencoder and Conditional GAN by 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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Anomaly based Intrusion Detection to Enhance IoT Devices Security using LSTM and Radial Basis Function Approach by 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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On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples by Zhang, Ying, Liu, Qiang

“… on Improved Conditional Variational Autoencoder (ICVAE) and Borderline Synthetic Minority Oversampling Technique (BSM), called ICVAE-BSM…”
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Design of Metamaterials for Absorbers Based on Variational Autoencoder by 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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Application and Research of Music Generation System Based on CVAE and Transformer-XL in Video Background Music by 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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Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction by 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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Daily Power Scenario Generation Method for Multiple Wind Farms Based on Gaussian Mixture Clustering and Improved Conditional Variational Autoencoder by 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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A balanced mineral prospectivity model of Canadian magmatic Ni (± Cu ± Co ± PGE) sulphide mineral systems using conditional variational autoencoders by 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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Machine learning-based mechanical performance prediction and design of lattice structures by 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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A boosting resampling method for regression based on a conditional variational autoencoder by Huang, Yang, Liu, Duen-Ren, Lee, Shin-Jye, Hsu, Chia-Hao, Liu, Yang-Guang

“…•Proposes a novel resampling method based on a deep generative model to deal with the imbalanced regression data sets.•Improves the effect of undersampling and…”
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NRC-VABS: Normalized Reparameterized Conditional Variational Autoencoder with applied beam search in latent space for drug molecule design by Bhadwal, Arun Singh, Kumar, Kamal, Kumar, Neeraj

“… Motivated by this, we propose a recently researched idea of Normalized Reparameterized conditional Variational Autoencoder with applied beam search in latent space (NRC-VABS…”
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Vehicle Network Intrusion Detection Based on K-nearest Neighbor Variational Autoencoder Using Contrastive Learning by 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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Defect detection and data generation of shunt between three layers of resistance spot welding based on deep convolutional generative adversarial network and conditional variational autoencoder by Deng, Haofeng, Gao, Xiangdong, Zhang, Dongfang, Lu, Wuqi, Gao, Pengyu, Zhang, Yanxi

“… To cope with this problem, this paper proposes a defect generation and classification method based on a Deep Convolutional Generative Adversarial Network-Conditional Variational Autoencoder (DCGAN-CVAE…”
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