Výsledky vyhľadávania - "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) and Constrained Probabilistic Matrix Factorization (CPMF) is proposed…”
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A Radio Map Estimation Method Based on Improved Conditional Variational Autoencoder Autor An, Zhuang, Dou, Zheng, Liu, Qi, Li, Zhuo

“…A radio map is a specialized representation that depicts the power spectral density across a specific region. By leveraging electromagnetic maps, the efficient…”
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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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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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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

“…The integration of a large number of wind farms with uncertain output into the power grid will bring potential hazards in operation and uncontrollable risks…”
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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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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

“…•An FDD method for energy systems based on a deep learning image recognition model was proposed.•GAF converts time-series signals to 2D image signals to…”
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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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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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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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基于高斯混合聚类和改进条件变分自编码的多风电场功率日场景生成方法 Autor 李丹, 梁云嫣, 缪书唯, 方泽仁, 胡越, 贺帅

“…大量出力不确定的风电场并入电网会带来运行隐患和不可控风险,基于变分自编码器的场景生成模型方法能生成确定性场景集合以描述风电出力的不确定性.针对多风电场出力复杂的…”
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