Search Results - Multi-scale convolutional recurrent variational autoencoder*

Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder

Authors: Tianming Xie Qifa Xu Cuixia Jiang

Source: Expert Systems with Applications. 231:120725

Unsupervised anomaly detection in shearers via autoencoder networks and multi-scale correlation matrix reconstruction.

Authors: Song, Yang Wang, Weidong Wu, Yuxin et al.

Source: International Journal of Coal Science & Technology; 10/19/2024, Vol. 11 Issue 1, p1-11, 11p

Subject Terms: COAL mining safety, COAL mining, STATISTICAL correlation, GENERALIZATION

Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data.

Authors: Di Gao Guanghao Yang Jiarun Shen et al.

Source: Frontiers in Computational Neuroscience; 2024, p01-12, 12p

Subject Terms: HEALTH risk assessment, FUNCTIONAL magnetic resonance imaging, VALUE engineering, EXTRACTION techniques, DATA mining

Recurrent variational autoencoder approach for remaining useful life estimation.

Authors: Costa, Nahuel Sánchez, Luciano

Source: Logic Journal of the IGPL; Aug2024, Vol. 32 Issue 4, p605-623, 19p

Subject Terms: REMAINING useful life, ELECTRIC propulsion, RECURRENT neural networks, TURBOFAN engines, AIRPLANE motors

Company/Entity: UNITED States. National Aeronautics & Space Administration

AI-Assisted Monitoring and Prediction of Structural Displacements in Large-Scale Hydropower Facilities.

Authors: Liu, Jianghua Gu, Chongshi Wang, Jun et al.

Source: Water (20734441); Oct2025, Vol. 17 Issue 20, p2996, 19p

Subject Terms: HYDROELECTRIC power plants, CONVOLUTIONAL neural networks, SAFETY, SCIENTIFIC observation, DISPLACEMENT (Mechanics), SPATIOTEMPORAL processes, ARTIFICIAL intelligence, RECURRENT neural networks

A Framework for Enhancing Stock Investment Performance by Predicting Important Trading Points with Return-Adaptive Piecewise Linear Representation and Batch Attention Multi-Scale Convolutional Recurrent Neural Network.

Authors: Lin, Yu Liu, Ben

Source: Entropy; Nov2023, Vol. 25 Issue 11, p1500, 25p

Subject Terms: RECURRENT neural networks, STOCKS (Finance), VALUE investing (Finance)

Combining generative adversarial networks for emotion prediction in college students: An application to interactive musical interpretation.

Authors: Song, Xi

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 4, p1-18, 18p

Subject Terms: GENERATIVE adversarial networks, MUSICAL interpretation, ATTENTION, AFFECTIVE forecasting (Psychology), SENTIMENT analysis, COLLEGE students, CONVOLUTIONAL neural networks

Research on multi-label classification model design in online teaching and learning for music scholars from a biomechanical perspective.

Authors: Shi, Jianyu Shi, Zijun

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 4, p1-18, 18p

Subject Terms: MUSIC education, BIOMECHANICS, CONVOLUTIONAL neural networks, CLASSIFICATION, FEATURE extraction, ONLINE education

Exploring AI Approaches for Breast Cancer Detection and Diagnosis: A Review Article.

Authors: Ali, Akbar Alghamdi, Mansoor Marzuki, Shahira Sofea et al.

Source: Breast Cancer: Targets & Therapy; Oct2025, Vol. 17, p927-947, 21p

Subject Terms: BREAST cancer, ARTIFICIAL intelligence, DEEP learning, MAXIMUM likelihood statistics, DETECTION algorithms, DIAGNOSIS, GENERATIVE adversarial networks, CONVOLUTIONAL neural networks

Deep Learning in Biomedical Image and Signal Processing: A Survey.

Authors: Omarov, Batyrkhan

Source: Computers, Materials & Continua; 2025, Vol. 85 Issue 2, p2195-2253, 59p

Subject Terms: DEEP learning, BIOMEDICAL signal processing, DATA integration, DISCLOSURE, MEDICAL software, REGULATORY compliance, DETECTION algorithms, SIGNAL processing

Brain tumor intelligent diagnosis based on Auto-Encoder and U-Net feature extraction.

Authors: Cao, Yaru Liang, Fengning Zhao, Teng et al.

Source: PLoS ONE; 3/24/2025, Vol. 20 Issue 3, p1-25, 25p

Subject Terms: PITUITARY tumors, RECURRENT neural networks, CANCER diagnosis, BRAIN tumors, MAGNETIC resonance imaging

Industrial anomaly detection via curriculum-based deep learning.

Authors: Dube, Devilliers Akar, Mehmet

Source: Applied Intelligence; Dec2025, Vol. 55 Issue 18, p1-21, 21p

Sound Event Localization and Detection Using Parallel Multi-attention Enhancement.

Authors: Chen, Zhengyu Huang, Qinghua

Source: Circuits, Systems & Signal Processing; Jan2024, Vol. 43 Issue 1, p545-567, 23p

Subject Terms: DIRECTIONAL hearing, ACOUSTIC localization, CONVOLUTIONAL neural networks, RECURRENT neural networks, SIGNAL processing

Deep learning-based approaches for multi-omics data integration and analysis.

Authors: Ballard, Jenna L. Wang, Zexuan Li, Wenrui et al.

Source: BioData Mining; 10/2/2024, Vol. 17 Issue 1, p1-29, 29p

Subject Terms: FEEDFORWARD neural networks, CONVOLUTIONAL neural networks, MULTIOMICS, DEEP learning, DATA integration, TRANSCRIPTOMES

Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach and deep neural networks.

Authors: Ibor, A. E. Egete, D. O. Otiko, A. O. et al.

Source: Journal of Nigerian Society of Physical Sciences; Aug2025, Vol. 7 Issue 3, p1-15, 15p

Subject Terms: ARTIFICIAL neural networks, FEEDFORWARD neural networks, AUTOENCODERS, CYBER physical systems, COMPUTER network traffic, DEEP learning

Efficient Image Compression with Transformer and Convolutional Dual Channel Networks.

Authors: Jianhua Hu Guixiang Luo Zhangjiang Yuan et al.

Source: Journal of Imaging Science & Technology; Jul/Aug2025, Vol. 69 Issue 4, p1-13, 13p

Graph Data Augmentation for Graph Convolutional Networks Learning in Robust Mental Disorder Prediction with Limited and Noisy Labels.

Authors: Pan, Jiacheng Dong, Yihong Jiang, Daogen et al.

Source: Journal of Computational Biology; Dec2025, Vol. 32 Issue 12, p1171-1189, 19p

Simulation of Spring Discharge Using Deep Learning, Considering the Spatiotemporal Variability of Precipitation.

Authors: Ma, Chunmei Jiao, Haoyu Hao, Yonghong et al.

Source: Water Resources Research; Apr2025, Vol. 61 Issue 4, p1-24, 24p

Subject Terms: STANDARD deviations, SPRING, PRECIPITATION variability, DATA augmentation, AUTOENCODERS, DEEP learning

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

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

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

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

Recent advances in deep learning for protein-protein interaction: a review.

Authors: Cui, Jiafu Yang, Siqi Yi, Litai et al.

Source: BioData Mining; 6/16/2025, Vol. 18 Issue 1, p1-23, 23p

Subject Terms: ARTIFICIAL neural networks, ARTIFICIAL intelligence, MACHINE learning, COMPUTATIONAL biology, CONVOLUTIONAL neural networks, DEEP learning