Výsledky vyhledávání - (( conditional variational autoencoder(cave) ) OR ( conditional variational autoencoder(cae) ))

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

Autoři: Shi Dong Huadong Su Yue Liu

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

Témata: 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

Přístupová URL adresa: https://doaj.org/article/c7155765739a4d04bd6ef775b7e0d2e0

Anomaly Detection for Charging Piles Based on Conditional Variational Autoencoder.

Autoři: Wang, Chuanjun Lu, Yinyu Wang, Mingxin a další

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

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

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

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

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

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

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

Autoři: Sugai, Tomotaka Shintani, Kohei Yamada, Takayuki

Zdroj: 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.

Autoři: Bang, Seong Jin Kang, Min Jung Lee, Min-Goo a další

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

Témata: 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.

Autoři: Wang, Xu Qian, Weiqi Zhao, Tun a další

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

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

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

Autoři: Asano, Takuma Izumi, Shintaro Kawaguchi, Hiroshi

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

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

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

Autoři: Zhuang, Bozhou Gallet, Adrien Smyl, Danny

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

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

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

Autoři: Ning, Meng Deng, Chong Zhan, Ziheng a další

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

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

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

Autoři: Li, Jingru Qian, Minqi Yin, Jingming a další

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

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

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)

Autoři: 徐贞顺 王振彪 郑顺国 a další

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

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

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

Autoři: Wang, Yuan Wang, Zhi-Gang He, Yi-Hao a další

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

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

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

Autoři: Zhang, Chao Liu, Yu Liu, Honggang

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

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

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

Autoři: Bu, Henan Yang, Teng Hu, Changzhou a další

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

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

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

Autoři: Qian, Kaizhi Jin, Zeyu Hasegawa-Johnson, Mark a další

Témata: 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

Knowledge Base Embedding for Sampling-Based Prediction.

Autoři: RICHONG ZHANG JAEIN KIM JIAJIE MEI a další

Zdroj: ACM Transactions on Information Systems; Apr2023, Vol. 41 Issue 2, p1-25, 25p

Témata: KNOWLEDGE base, PREDICTION models, FORECASTING, LATENT variables

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

Autoři: Wu, Yue Li, Jiaheng Yuan, Yongzhe a další

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

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

TRAFFIC CONTROL RECOGNITION WITH AN ATTENTION MECHANISM USING SPEED-PROFILE AND SATELLITE IMAGERY DATA.

Autoři: Cheng, H. Lei, H. Zourlidou, S. a další

Zdroj: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2022, Issue B4, p287-293, 7p

Témata: REMOTE-sensing images, TRAFFIC engineering, ATTENTION control, DIGITAL maps, CONVOLUTIONAL neural networks, GEOSTATIONARY satellites, TRAFFIC signs & signals, TRAFFIC congestion

Geografický termín: HANNOVER (Germany)

Reviews & Products: GOOGLE Maps

Attention-based framework for weakly supervised video anomaly detection.

Autoři: Ma, Hualin Zhang, Liyan

Zdroj: Journal of Supercomputing; Apr2022, Vol. 78 Issue 6, p8409-8429, 21p

Témata: ANOMALY detection (Computer security), VIDEO surveillance, INTRUSION detection systems (Computer security), VIDEOS

An efficient method for imbalanced fault diagnosis of rotating machinery.

Autoři: Yang, Jingli Yin, Shuangyan Gao, Tianyu

Zdroj: Measurement Science & Technology; Nov2021, Vol. 32 Issue 11, p1-15, 15p

Témata: ROTATING machinery, GENERATIVE adversarial networks, FAULT diagnosis, PROBLEM solving