Suchergebnisse - (conditional OR conditioning) 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)

Dall-e Brain : Generation of 2D T1-w, T2-w, and FLAIR MRI images using a prompt

Autoren: El-Allaly, Souhail Breuil, Julie Bibard-Grau, Emma et al.

Weitere Verfasser: El-Allaly, Souhail Breuil, Julie Bibard-Grau, Emma et al.

Quelle: 3e édition du Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2025).
https://hal.science/hal-05013997
3e édition du Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2025)., Mar 2025, Nice, France

Schlagwörter: Registration, Image Encoder/Decoder, Variational AutoEncoder, Latent Diffusion Model, Text prompt conditioning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging

Geographisches Schlagwort: Nice, France

Time: Nice, France

Verfügbarkeit: https://hal.science/hal-05013997
https://hal.science/hal-05013997v1/document
https://hal.science/hal-05013997v1/file/Poster_Dalle_Brain_IABM_TG_SE_vfi_3.pdf

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

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

Asset Pricing via the Conditional Quantile Variational Autoencoder.

Autoren: Yang, Xuanling Zhu, Zhoufan Li, Dong et al.

Quelle: Journal of Business & Economic Statistics; Apr2024, Vol. 42 Issue 2, p681-694, 14p

Schlagwörter: PRICES, DISTRIBUTION (Probability theory), SHARPE ratio, FACTOR structure, CAPITAL assets pricing model, QUANTILES

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

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

Condition Monitoring Using a Latent Space of Variational Autoencoder Trained Only on a Healthy Machine.

Autoren: Komorska, Iwona Puchalski, Andrzej

Quelle: Sensors (14248220); Nov2024, Vol. 24 Issue 21, p6825, 14p

Schlagwörter: ARTIFICIAL neural networks, MACHINE learning, DISTRIBUTION (Probability theory), RANDOM variables, FAULT diagnosis, FEATURE extraction

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

Self‐supervised representation learning of metro interior noise based on variational autoencoder and deep embedding clustering.

Autoren: Wang, Yang Xiao, Hong Zhang, Zhihai et al.

Quelle: Computer-Aided Civil & Infrastructure Engineering; 2/4/2025, Vol. 40 Issue 4, p503-522, 20p

Schlagwörter: TRANSPORTATION noise, SIGNAL denoising, PATTERN perception, FAULT diagnosis, LATENT variables, MACHINE learning, EMPIRICAL research

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

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

Data-driven nonlinear parametric model order reduction framework using deep hierarchical variational autoencoder.

Autoren: Lee, SiHun Lee, Sangmin Jang, Kijoo et al.

Quelle: Engineering with Computers; Aug2024, Vol. 40 Issue 4, p2385-2400, 16p

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

Adaptive Neural Network System for Detecting Unauthorised Intrusions Based on Real-Time Traffic Analysis.

Autoren: Vladov, Serhii Vysotska, Victoria Lytvyn, Vasyl et al.

Quelle: Computation; Sep2025, Vol. 13 Issue 9, p221, 42p

Schlagwörter: INTRUSION detection systems (Computer security), ANOMALY detection (Computer security), KALMAN filtering, LATENT variables, INTERNET security, TRAFFIC monitoring, MACHINE learning, INTELLIGENT networks

Graph Representation Learning on Street Networks.

Autoren: Neira, Mateo Murcio, Roberto

Quelle: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p284, 18p

Schlagwörter: REPRESENTATIONS of graphs, URBAN morphology, PATTERN perception, SPATIAL behavior, LATENT variables, ROAD construction, TRAFFIC patterns, CONVOLUTIONAL neural networks

Unsupervised detection of high-frequency oscillations in intracranial electroencephalogram: promoting a valuable automated diagnostic tool for epilepsy.

Autoren: Chen, Wenjing Kang, Tongzhou Heyat, Md Belal Bin et al.

Quelle: Frontiers in Neurology; 2025, p1-11, 11p

Schlagwörter: K-means clustering, WAVELET transforms, AUTOENCODERS, MACHINE learning, PEOPLE with epilepsy

Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling.

Autoren: Zhu, Xiuli Damarla, Seshu Kumar Hao, Kuangrong et al.

Quelle: IEEE Transactions on Industrial Informatics; Aug2022, Vol. 18 Issue 8, p5190-5198, 9p