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

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

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

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

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

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

Designing metamaterials with programmable nonlinear responses and geometric constraints in graph space.

Autoren: Maurizi, Marco Xu, Derek Wang, Yu-Tong et al.

Quelle: Nature Machine Intelligence; Jul2025, Vol. 7 Issue 7, p1023-1036, 14p

Human Activity Recognition Using Convolutional Autoencoder and Advanced Preprocessing.

Autoren: Zaoui, Chaimae Benabbou, Faouzia Ettaoufik, Abdelaziz et al.

Quelle: International Journal of Online & Biomedical Engineering; 2024, Vol. 20 Issue 4, p144-159, 16p

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

A review of deep learning-based localization, mapping and 3D reconstruction for endoscopy.

Autoren: Zhong, Jiawei Ren, Hongliang Chen, Qin et al.

Quelle: Journal of Micro-Bio Robotics; Jun2025, Vol. 21 Issue 1, p1-25, 25p

Network-based multi-omics integrative analysis methods in drug discovery: a systematic review.

Autoren: Jiang, Wei Ye, Weicai Tan, Xiaoming et al.

Quelle: BioData Mining; 3/28/2025, Vol. 18 Issue 1, p1-29, 29p

Schlagwörter: GRAPH neural networks, DRUG discovery, MULTIOMICS, DRUG repositioning, BIOLOGICAL networks

Stochastic Modeling of Thin Mud Drapes Inside Point Bar Reservoirs With ALLUVSIM‐GANSim.

Autoren: Hu, Xun Song, Suihong Hou, Jiagen et al.

Quelle: Water Resources Research; Jun2024, Vol. 60 Issue 6, p1-24, 24p

Schlagwörter: MARKOV chain Monte Carlo, GENERATIVE adversarial networks, MUD, DRAPERIES, STOCHASTIC models, BRAIDED rivers

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

Autoren: Cheng, H. Lei, H. Zourlidou, S. et al.

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

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

Geografische Kategorien: HANNOVER (Germany)

Reviews & Products: GOOGLE Maps

Attention-based framework for weakly supervised video anomaly detection.

Autoren: Ma, Hualin Zhang, Liyan

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

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

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

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

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

Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model.

Autoren: Alzubaidi, Umkalthoom

Quelle: Scientific Reports; 7/19/2025, Vol. 15 Issue 1, p1-15, 15p

Schlagwörter: SOCIAL psychology, HUMAN-computer interaction, PEER communication, NATURAL language processing, SENTIMENT analysis, OPTIMIZATION algorithms, FACIAL expression & emotions (Psychology), DEEP learning

Pythia: An Edge-First Agent for State Prediction in High-Dimensional Environments.

Autoren: Karatzas, Andreas Anagnostopoulos, Iraklis

Quelle: IEEE Embedded Systems Letters; Dec2024, Vol. 16 Issue 4, p473-476, 4p