Suchergebnisse - conditional variational autoencoder((cave OR cae))

A-CAVE: Network abnormal traffic detection algorithm based on variational autoencoder

Autoren: Shi Dong Huadong Su Yue Liu

Quelle: ICT Express, Vol 9, Iss 5, Pp 896-902 (2023)

Schlagwörter: Conditional variational autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Intrusion detection, Information technology, 02 engineering and technology, T58.5-58.64, Anomaly traffic, Neural network

Zugangs-URL: https://doaj.org/article/c7155765739a4d04bd6ef775b7e0d2e0

Anomaly Detection for Charging Piles Based on Conditional Variational Autoencoder.

Autoren: Wang, Chuanjun Lu, Yinyu Wang, Mingxin et al.

Quelle: International Transactions on Electrical Energy Systems; 9/23/2025, Vol. 2025, p1-12, 12p

Schlagwörter: ELECTRIC vehicles, SUPERVISED learning, PROBABILISTIC generative models, OUTLIER detection, SIGNAL detection, DISTRIBUTION (Probability theory), INFRASTRUCTURE (Economics)

Data-driven topology optimization using a multitask conditional variational autoencoder with persistent homology.

Autoren: Sugai, Tomotaka Shintani, Kohei Yamada, Takayuki

Quelle: Structural & Multidisciplinary Optimization; Jul2024, Vol. 67 Issue 7, p1-12, 12p

STO-CVAE: state transition-oriented conditional variational autoencoder for data augmentation in disability classification.

Autoren: Bang, Seong Jin Kang, Min Jung Lee, Min-Goo et al.

Quelle: Complex & Intelligent Systems; Jun2024, Vol. 10 Issue 3, p4201-4222, 22p

Schlagwörter: HUMAN activity recognition, DATA augmentation, SUPPORT vector machines, HUMAN skeleton, ARTIFICIAL intelligence, MEDICAL rehabilitation

Fast Prediction of Airfoil Aerodynamic Characteristics Based on a Combined Autoencoder.

Autoren: Wang, Xu Qian, Weiqi Zhao, Tun et al.

Quelle: Symmetry (20738994); Jul2024, Vol. 16 Issue 7, p791, 17p

Schlagwörter: WIND tunnel testing, LATENT variables, REYNOLDS number, AEROFOILS, NETWORK performance

Inverse structural design with generative and probabilistic autoencoders and diffusion models.

Autoren: Zhuang, Bozhou Gallet, Adrien Smyl, Danny

Quelle: Engineering Applications of Artificial Intelligence. Dec2025:Part A, Vol. 161, pN.PAG-N.PAG. 1p.

Schlagwörter: *MACHINE learning, *AUTOENCODERS, *STRUCTURAL engineering, *MULTIDISCIPLINARY design optimization, *GIRDERS, *STOCHASTIC models, *ENGINEERING design, *PROBABILISTIC generative models

Robust Zero-Day Attack Detection with Optimal Deep Learning for Securing Internet of Things Environment.

Autoren: Abid, Nahla J. Alhebaishi, Nawaf Althaqafi, Turki

Quelle: Journal of Intelligent Systems & Internet of Things; 2025, Vol. 16 Issue 1, p118-131, 14p

Schlagwörter: OPTIMIZATION algorithms, SOFTWARE maintenance, COMPUTER network security, DEEP learning, AUTOENCODERS

Topology Design of Soft Phononic Crystals for Tunable Band Gaps: A Deep Learning Approach.

Autoren: Li, Jingru Qian, Minqi Yin, Jingming et al.

Quelle: Materials (1996-1944); Jan2025, Vol. 18 Issue 2, p377, 32p

Schlagwörter: BAND gaps, PHONONIC crystals, DEEP learning, TRANSFER matrix, AUTOENCODERS

F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder

Autoren: Qian, Kaizhi Jin, Zeyu Hasegawa-Johnson, Mark et al.

Index Begriffe: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Machine Learning, Computer Science - Sound, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2004.07370

Heartbeat detection and personal authentication using a 60 GHz Doppler sensor.

Autoren: Asano, Takuma Izumi, Shintaro Kawaguchi, Hiroshi

Quelle: Frontiers in Digital Health; 2025, p1-12, 12p

Schlagwörter: PATIENT monitoring equipment, BIOLOGICAL models, RESEARCH funding, SOUND spectrography, BIOMETRY, HEART beat, ELECTROCARDIOGRAPHY, SECURITY systems, TECHNOLOGY, PATIENT monitoring, MICROWAVES, WAVE analysis, ALGORITHMS

Diffangle-Grasp: Dexterous Grasp Synthesis via Fine-Grained Contact Generation and Natural Pose Optimization.

Autoren: Ning, Meng Deng, Chong Zhan, Ziheng et al.

Quelle: Biomimetics (2313-7673); Aug2025, Vol. 10 Issue 8, p492, 20p

Schlagwörter: PREHENSION (Physiology), HUMANOID robots, LATENT variables, POSTURE, STOCHASTIC models

Wood-species identification based on terahertz spectral data augmentation and pseudo-label guided deep clustering.

Autoren: Wang, Yuan Wang, Zhi-Gang He, Yi-Hao et al.

Quelle: Wood Material Science & Engineering; Oct2024, Vol. 19 Issue 5, p1004-1014, 11p

Schlagwörter: WOOD, DATA augmentation, MACHINE learning, PROBLEM solving, TERAHERTZ spectroscopy, GRISELINIA littoralis

多维度损失函数下引导词协同 sinkhorn 的监督式主题模型. (Chinese)

Alternate Title: Guided words and collaborative sinkhorn in supervised topic model under multi-dimensional loss function. (English)

Autoren: 徐贞顺 王振彪 郑顺国 et al.

Quelle: Application Research of Computers / Jisuanji Yingyong Yanjiu; Sep2025, Vol. 42 Issue 9, p2644-2652, 9p

Schlagwörter: LOSS functions (Statistics), OPTIMIZATION algorithms, INFORMATION processing, THEMATIC analysis

An Image Classification Method of Unbalanced Ship Coating Defects Based on DCCVAE-ACWGAN-GP.

Autoren: Bu, Henan Yang, Teng Hu, Changzhou et al.

Quelle: Coatings (2079-6412); Mar2024, Vol. 14 Issue 3, p288, 23p

Schlagwörter: IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, CONSTRUCTION defects (Buildings), GENERATIVE adversarial networks, VALUE engineering, DRYING, PAINT

Target localization and defect detection of distribution insulators based on ECA‐SqueezeNet and CVAE‐GAN.

Autoren: Zhang, Chao Liu, Yu Liu, Honggang

Quelle: IET Image Processing (Wiley-Blackwell); 11/13/2024, Vol. 18 Issue 13, p3864-3877, 14p

Schlagwörter: GENERATIVE adversarial networks, COMPUTER vision, ELECTRIC insulators & insulation, IMAGE registration, COMPUTER networking equipment

Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM.

Autoren: Zeng, Peipei Kang, Shuimiao Fan, Fan et al.

Quelle: Frontiers in Neuroinformatics; 2025, p1-15, 15p

Schlagwörter: ANOMALY detection (Computer security), HEART murmurs, SUPPORT vector machines, CONGENITAL heart disease, AUTOENCODERS

GANSim‐3D for Conditional Geomodeling: Theory and Field Application.

Autoren: Song, Suihong Mukerji, Tapan Hou, Jiagen et al.

Quelle: Water Resources Research; Jul2022, Vol. 58 Issue 7, p1-34, 34p

Schlagwörter: KARST, GENERATIVE adversarial networks, FACIES

Geografische Kategorien: CHINA

HDMcCNet: A Hybrid Deep Multi-label Classification Network for Diagnosing Multiple Ocular Disease via Fundus Images.

Autoren: Merlin, R. Vincy Lloyd, F.

Quelle: Sensing & Imaging; 12/8/2025, Vol. 26 Issue 1, p1-49, 49p

Non-Contrast Brain CT Images Segmentation Enhancement: Lightweight Pre-Processing Model for Ultra-Early Ischemic Lesion Recognition and Segmentation.

Autoren: Samarin, Aleksei Savelev, Alexander Toropov, Aleksei et al.

Quelle: Journal of Imaging; Oct2025, Vol. 11 Issue 10, p359, 29p

Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images.

Autoren: Wu, Yue Li, Jiaheng Yuan, Yongzhe et al.

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Sep2022, Vol. 33 Issue 9, p4257-4270, 14p

Schlagwörter: SYNTHETIC apertures, ARTIFICIAL neural networks, SYNTHETIC aperture radar, FEATURE extraction, IMAGE representation