Suchergebnisse - feature-embedded stacked sparse autoencoder

Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model

Autoren: Tang, Likun Ma, Jie Li, Yongming

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2303.08538

Sample-Pair Envelope Diamond Autoencoder Ensemble Algorithm for Chronic Disease Recognition

Autoren: Yi Zhang Jie Ma Xiaolin Qin et al.

Quelle: Applied Sciences, Vol 13, Iss 12, p 7322 (2023)

Schlagwörter: recognition of chronic disease, wearable sensor monitoring, sample-pair envelope concatenation, envelope learning, diamond-like feature learning, feature-embedded stacked sparse autoencoder, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/12/7322; https://doaj.org/toc/2076-3417; https://doaj.org/article/34e413f2a72d4928a8f395c07dad668e

Verfügbarkeit: https://doi.org/10.3390/app13127322
https://doaj.org/article/34e413f2a72d4928a8f395c07dad668e

Hybrid Feature Embedded Sparse Stacked Autoencoder and Manifold Dimensionality Reduction Ensemble for Mental Health Speech Recognition

Autoren: Hong Chen Yuan Lin Yongming Li et al.

Quelle: IEEE Access, Vol 9, Pp 28729-28741 (2021)

Schlagwörter: Embedded hybrid feature sparse stacked autoencoder, ensemble learning, feature fusion, L1 regularization, speech mental health recognition, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Relation: https://ieeexplore.ieee.org/document/9348883/; https://doaj.org/toc/2169-3536; https://doaj.org/article/4e1029e37cad4c62884db95a4caa020b

Verfügbarkeit: https://doi.org/10.1109/ACCESS.2021.3057382
https://doaj.org/article/4e1029e37cad4c62884db95a4caa020b

Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble

Autoren: Li, Yongming Lei, Yan Wang, Pin et al.

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2002.06761

Sample-Pair Envelope Diamond Autoencoder Ensemble Algorithm for Chronic Disease Recognition.

Autoren: Zhang, Yi Ma, Jie Qin, Xiaolin et al.

Quelle: Applied Sciences (2076-3417); Jun2023, Vol. 13 Issue 12, p7322, 29p

Schlagwörter: CHRONIC diseases, WEARABLE technology, ALGORITHMS, HUMAN body, DIAMONDS, EARLY diagnosis, NANODIAMONDS

Residual network improves the prediction accuracy of genomic selection.

Autoren: Wu, Huaxuan Gao, Bingxi Zhang, Rong et al.

Quelle: Animal Genetics. Aug2024, Vol. 55 Issue 4, p599-611. 13p.

Stacked sparse autoencoder networks and statistical shape models for automatic staging of distal femur trochlear dysplasia.

Autoren: Cerveri, Pietro Belfatto, Antonella Baroni, Guido et al.

Quelle: International Journal of Medical Robotics & Computer Assisted Surgery; Dec2018, Vol. 14 Issue 6, pN.PAG-N.PAG, 1p

An Analysis of Image Classification Using Wavelet‐Based Autoencoder Architecture and Extreme Learning Machine.

Autoren: Said, Salwa Hassairi, Salima Yahia, Siwar et al.

Quelle: Journal of Electrical & Computer Engineering; 7/17/2024, Vol. 2024, p1-13, 13p

Schlagwörter: IMAGE recognition (Computer vision), MACHINE learning, IMAGE analysis, DEEP learning, RESEARCH personnel

一种电网调控防误优化方法研究及应用. (Chinese)

Alternate Title: Research and Application of an Optimization Method for Power Grid Error Prevention and Control. (English)

Autoren: 孟成真 郝方舟 李欢欢 et al.

Quelle: Control Engineering of China; Nov2025, Vol. 32 Issue 11, p2073-2080, 8p

Abnormal Driving Detection With Normalized Driving Behavior Data: A Deep Learning Approach.

Autoren: Hu, Jie Zhang, Xiaoqin Maybank, Stephen

Quelle: IEEE Transactions on Vehicular Technology; Jul2020, Vol. 69 Issue 7, p6943-6951, 9p

Schlagwörter: DEEP learning, ALGORITHMS, BEHAVIOR

Sparse convolutional autoencoder‐based fault location for drive circuits in nuclear reactors.

Autoren: Yang, Cheng Yuan, Yannan Wang, Fu et al.

Quelle: Quality & Reliability Engineering International; Mar2024, Vol. 40 Issue 2, p819-837, 19p

Schlagwörter: FAULT location (Engineering), NUCLEAR reactors, NUCLEAR reactor control, FAULT diagnosis, ELECTRONIC equipment, LINE drivers (Integrated circuits)

A comprehensive review of deep learning models for denoising EEG signals: challenges, advances, and future directions.

Autoren: Raj, Vandana Akshath Parupudi, Tejasvi Thalengala, Ananthakrishna et al.

Quelle: Discover Applied Sciences; Nov2025, Vol. 7 Issue 11, p1-32, 32p

Room-level localization method in industrial workshops using LiDAR-based point cloud registration and object recognition: Room-level localization method in industrial workshops using LiDAR-based point cloud registration and object recognition: Li Y et al.

Autoren: Li, Yunzhi Tan, Libin Xu, Xiangrong et al.

Quelle: Applied Intelligence; Apr2025, Vol. 55 Issue 5, p1-21, 21p

Architecture design and implementation for sensing equipment faults from ultra-weak acoustic emission signals.

Autoren: Li'an Lu Guangyu Liu Hui Xiao et al.

Quelle: Sound & Vibration; 2025, Vol. 59 Issue 2, p181-197, 17p

Schlagwörter: ACOUSTIC emission, FAULT diagnosis, SIGNAL processing, ELECTROMECHANICAL devices, NOISE control, FEATURE extraction, SUPPORT vector machines, SIGNAL-to-noise ratio

Squeeze-and-Excitation Networks and the Improved Informer Model for Bearing Fault Diagnosis.

Autoren: Yuan, Bin Du, Yanghui Xie, Zengbiao et al.

Quelle: Algorithms; Nov2025, Vol. 18 Issue 11, p700, 20p

Schlagwörter: DEEP learning, FAULT diagnosis, PATTERN perception

A poisson flow-based data augmentation and lightweight diagnosis framework for imbalanced rolling bearing faults.

Autoren: Liu, Xin Wang, Han Du, Zhiyong et al.

Quelle: PLoS ONE; 10/6/2025, Vol. 20 Issue 10, p1-22, 22p

Schlagwörter: DATA augmentation, DEEP learning, POISSON processes, DIAGNOSTIC services, WAVELETS (Mathematics), DATA quality, ROLLER bearings

Emotion-style dual prediction: a multi-task deep learning approach for artistic images.

Autoren: Lu, Yao Shao, Dan Ni, Xin et al.

Quelle: Cluster Computing; Feb2026, Vol. 29 Issue 1, p1-19, 19p

Medical image fusion under diffusion-inspired multiframe super-resolution framework.

Autoren: Stephen, Josephine K. Kapyela, Goodluck A. Msoka, Vidate C. et al.

Quelle: EURASIP Journal on Advances in Signal Processing; 9/29/2025, Vol. 2025 Issue 1, p1-19, 19p

Schlagwörter: IMAGE fusion, IMAGE enhancement (Imaging systems), IMAGE processing, COMPUTER-assisted image analysis (Medicine), SIGNAL-to-noise ratio, IMAGE quality analysis, UNCERTAINTY (Information theory), HIGH resolution imaging

A transfer learning-based fault diagnosis method for rolling bearings with variable operating conditions.

Autoren: Song, Cunli Yuan, Xiaomeng

Quelle: Applied Intelligence; Sep2025, Vol. 55 Issue 14, p1-13, 13p

Deep learning for land use classification: a systematic review of HS-LiDAR imagery.

Autoren: Rehman, Muhammad Zia Ur Islam, Syed Mohammed Shamsul Blake, David et al.

Quelle: Artificial Intelligence Review; Sep2025, Vol. 58 Issue 9, p1-43, 43p