Výsledky vyhledávání - "Stacked variational autoencoder"

Stacked Variational Autoencoder in the Classification of Cardiac Arrhythmia using ECG Signals with 2D-ECG Images

Autoři: S Nithya M. Mary Shanthi Rani

Zdroj: 2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET). :222-226

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

SVAD: Stacked Variational Autoencoder Deep Neural Network -Based Dimensionality Reduction and classification of Small Sample Size and High Dimensional Data

Autoři: Neha Srivastava Devendra K. Tayal

Zdroj: SN Computer Science. 5

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

SVDTI: Stacked variational autoencoder with SMILES-based drug representations for identifying drug-target interaction.

Autoři: Ha, Jihwan¹ (AUTHOR) jhha@pknu.ac.kr

Zdroj: Neurocomputing. Jan2026, Vol. 661, pN.PAG-N.PAG. 1p.

Témata: *DRUG discovery, *PREDICTION models, *MATRIX decomposition, *DRUG receptors, *PREDICTIVE tests, *CHEMICAL formulas, *RECURRENT neural networks

A novel 3D indoor localization method integrating deep spatial feature augmentation and attention-based denoising

Autoři: Chunyuan Liu Xiaomin Yu Peilong Wu a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Témata: 3D indoor positioning, Stacked variational autoencoder, Wasserstein generative adversarial network, Attention mechanism, Denoising autoencoder, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/7d6129d2fbb942f7bfc1b0de39fd8270

Semi-supervised Deep Learning in Motor Imagery-Based Brain-Computer Interfaces with Stacked Variational Autoencoder

Autoři: Zhenghui Gu Zhu Liang Yu Junjian Chen

Zdroj: Journal of Physics: Conference Series. 1631:012007

Témata: 03 medical and health sciences, 0302 clinical medicine

Přístupová URL adresa: https://robots.iopscience.iop.org/article/10.1088/1742-6596/1631/1/012007/pdf
https://iopscience.iop.org/article/10.1088/1742-6596/1631/1/012007/pdf
https://ui.adsabs.harvard.edu/abs/2020JPhCS1631a2007C/abstract
https://robots.iopscience.iop.org/article/10.1088/1742-6596/1631/1/012007

Text feature extraction based on stacked variational autoencoder

Autoři: Liang Wang Lei Che Xiaoping Yang

Zdroj: Microprocessors and Microsystems. 76:103063

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://www.sciencedirect.com/science/article/abs/pii/S0141933120300879
https://dblp.uni-trier.de/db/journals/mam/mam76.html#CheYW20

SVAD: Stacked Variational Autoencoder Deep Neural Network-Based Dimensionality Reduction and Classification of Small Sample Size and High Dimensional Data

Autoři: Srivastava, Neha Tayal, Devendra K. Department of Science and Technology, Ministry of Science and Technology, India

Přispěvatelé: Srivastava, Neha Tayal, Devendra K. Department of Science and Technology, Ministry of Science and Technology, India

Zdroj: SN Computer Science ; volume 5, issue 7 ; ISSN 2661-8907

Dostupnost: http://dx.doi.org/10.1007/s42979-024-03294-2
https://link.springer.com/content/pdf/10.1007/s42979-024-03294-2.pdf
https://link.springer.com/article/10.1007/s42979-024-03294-2/fulltext.html

A novel 3D indoor localization method integrating deep spatial feature augmentation and attention-based denoising.

Autoři: Liu, Chunyuan Yu, Xiaomin Wu, Peilong a další

Zdroj: Scientific Reports; 9/26/2025, Vol. 15 Issue 1, p1-16, 16p

Témata: INDOOR positioning systems, DEEP learning, GENERATIVE adversarial networks, WIRELESS geolocation systems, SIGNAL denoising, SPACE perception

SVAE‐GRU‐based degradation generation and prediction for small samples.

Autoři: Shangguan, Anqi Feng, Nan Mu, Lingxia a další

Zdroj: Quality & Reliability Engineering International. Nov2023, Vol. 39 Issue 7, p2851-2868. 18p.

Témata: *PREDICTION models, *RELIABILITY in engineering, *FORECASTING, *MULTILAYER perceptrons

SVAE-WGAN-Based Soft Sensor Data Supplement Method for Process Industry.

Autoři: Gao, Shiwei Qiu, Sulong Ma, Zhongyu a další

Zdroj: IEEE Sensors Journal; Jan2022, Vol. 22 Issue 1, p601-610, 10p

考虑密集通道的多机电力系统暂态稳定性评估方法. (Chinese)

Alternate Title: Transient Stability Assessment Method for Multi-machine Power Systems Considering Dense Channels. (English)

Autoři: 王学军 方水平 池光湧

Zdroj: Electric Power; Aug2025, Vol. 58 Issue 8, p139-146, 8p

Témata: CONVOLUTIONAL neural networks, ELECTRIC transients, DEEP learning

Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation.

Autoři: Yu, Shicheng Li, Jun Ye, Zhaofeng a další

Zdroj: Cell Regeneration; 7/14/2025, Vol. 14 Issue 1, p1-22, 22p

An autoencoder based unsupervised clustering approach to analyze the effect of E-learning on the mental health of Indian students during the Covid-19 pandemic.

Autoři: Banerjee, Pritha Jana, Chandan Saha, Jayita a další

Zdroj: Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 22, p25959-25979, 21p

Témata: MENTAL health, ONLINE education, STUDENTS, DATA analysis, DIGITAL learning, AUTOENCODERS, COVID-19 pandemic, SELF-organizing systems

Geografický termín: INDIA

Diagnosis of high‐speed railway ballastless track arching based on unsupervised learning framework.

Autoři: Tang, Xueyang Wang, Yi Cai, Xiaopei a další

Zdroj: Computer-Aided Civil & Infrastructure Engineering; 4/30/2025, Vol. 40 Issue 11, p1445-1465, 21p

Témata: DIMENSIONAL reduction algorithms, CLUSTER analysis (Statistics), QUANTITATIVE research, HIGH speed trains, INFRASTRUCTURE (Economics), BALLAST (Railroads)

Private pathological assessment via machine learning and homomorphic encryption.

Autoři: Al Badawi, Ahmad Faizal Bin Yusof, Mohd

Zdroj: BioData Mining; 9/10/2024, Vol. 17 Issue 1, p1-25, 25p

Témata: SUPPORT vector machines, FEATURE extraction, DATA privacy, MEDICAL coding, VECTOR analysis

Research Methods for Transient Stability Analysis of Power Systems under Large Disturbances.

Autoři: Wu, Hao Li, Jing Yang, Haibo

Zdroj: Energies (19961073); Sep2024, Vol. 17 Issue 17, p4330, 25p

Témata: TRANSIENT analysis, HYBRID power, ASYMPTOTIC expansions, SECURITY systems

Enhanced Dual-Channel Model-Based with Improved Unet++ Network for Landslide Monitoring and Region Extraction in Remote Sensing Images.

Autoři: Wang, Junxin Zhang, Qintong Xie, Hao a další

Zdroj: Remote Sensing; Aug2024, Vol. 16 Issue 16, p2990, 25p

Témata: CONVOLUTIONAL neural networks, EMERGENCY management, LANDSLIDES, DEEP learning, FEATURE extraction, ENVIRONMENTAL disasters

A comprehensive review of datasets for detection and localization of video anomalies: a step towards data-centric artificial intelligence-based video anomaly detection.

Autoři: Nayak, Rashmiranjan Pati, Umesh Chandra Das, Santos Kumar

Zdroj: Multimedia Tools & Applications; Jun2024, Vol. 83 Issue 21, p59617-59674, 58p

Témata: ARTIFICIAL intelligence, DEEP learning, VIDEO surveillance, SPATIOTEMPORAL processes, VIDEOS, PROBLEM solving

Detecting Malicious Uniform Resource Locators Using an Applied Intelligence Framework.

Autoři: Oprea, Simona-Vasilica Bâra, Adela

Zdroj: Computers, Materials & Continua; 2024, Vol. 79 Issue 3, p3827-3853, 27p

Témata: UNIFORM Resource Locators, NATURAL language processing, SURGICAL gloves, TEXT mining, MACHINE learning

基于梯度范数的暂态稳定评估模型的不平衡修正方法. (Chinese)

Alternate Title: Imbalance correction method of transient stability assessment model based on gradient norm. (English)

Autoři: 胡力涛 王怀远 党 然 a další

Zdroj: Electric Power Automation Equipment / Dianli Zidonghua Shebei; Apr2024, Vol. 44 Issue 4, p158-177, 8p