Suchergebnisse - Conventional autoen-coder

Anomaly Detection in the CMS L1 Trigger.

Autoren: Quinnan, Melissa

Quelle: EPJ Web of Conferences; 10/7/2025, Vol. 337, p1-6, 6p

基于深度强化学习模型融合的海洋气象传感器网络入侵检测方法. (Chinese)

Alternate Title: Intrusion detection based on deep reinforcement learning model fusion for maritime meteorological sensor networks. (English)

Autoren: 张文潇 苏新 顾依凌

Quelle: Chinese Journal on Internet of Things / Wulianwang Xuebao; Mar2025, Vol. 9 Issue 1, p89-102, 14p

Schlagwörter: DEEP reinforcement learning, REINFORCEMENT learning, SENSOR networks, TELECOMMUNICATION, COMMUNICATION of technical information

结合深度学习和迁移学习的行星齿轮箱故障诊断算法研究. (Chinese)

Alternate Title: Research on Planetary Gearbox Fault Diagnosis Algorithm Combining Deep Learning and Transfer Learning. (English)

Autoren: 陈超 许琦 宋正华 et al.

Quelle: Machine Tool & Hydraulics; May2025, Vol. 53 Issue 10, p40-49, 10p

Schlagwörter: CONVOLUTIONAL neural networks, LONG short-term memory, FAULT diagnosis, TRANSFER of training, GEARBOXES, SAMPLE size (Statistics)

基于时间-通道拓扑解耦图卷积的异常行为检测. (Chinese)

Alternate Title: Abnormal Behavior Detection Based on Time-Channel Topology Decoupling Graph Convolution. (English)

Autoren: 张家波 唐上松 何阿娟

Quelle: Journal of Signal Processing; Dec2024, Vol. 40 Issue 12, p2193-2205, 13p

Machine learning applications in Alzheimer's disease research: a comprehensive analysis of data sources, methodologies, and insights.

Autoren: Rezaie, Zahra Banad, Yaser

Quelle: International Journal of Data Science & Analytics; Oct2025, Vol. 20 Issue 4, p3169-3203, 35p

基于宽度自编码网络的单分类集成算法. (Chinese)

Alternate Title: Ensemble One-class Classification Based on BLS-Autoencoder. (English)

Autoren: 施-帆 陈宇昂 曾焕强 et al.

Quelle: Journal of Signal Processing; Apr2024, Vol. 40 Issue 4, p776-788, 13p

The Prediction of Cross-Regional Landslide Susceptibility Based on Pixel Transfer Learning.

Autoren: Wang, Xiao Wang, Di Li, Xinyue et al.

Quelle: Remote Sensing; Jan2024, Vol. 16 Issue 2, p347, 19p

Schlagwörter: LANDSLIDE hazard analysis, LANDSLIDE prediction, DIGITAL elevation models, SUPPORT vector machines, RISK assessment, PIXELS

Living upon networks: A heterogeneous graph neural embedding integrating waterway and street systems for urban form understanding

Autoren: Pengyuan Liu Yuan Wang Stef De Sabbata et al.

Quelle: Environment and Planning B: Urban Analytics and City Science.

Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder.

Autoren: YANG, WENLU WANG, HONGJUN ZHANG, YINGHUI et al.

Quelle: ACM Transactions on Intelligent Systems & Technology; Feb2023, Vol. 14 Issue 1, p1-18, 18p

Schlagwörter: SUPERVISED learning, MACHINE learning

Seizure Prediction in EEG Signals Using STFT and Domain Adaptation.

Autoren: Peng, Peizhen Song, Yang Yang, Lu et al.

Quelle: Frontiers in Neuroscience; 1/18/2022, Vol. 15, p1-14, 14p

Schlagwörter: ELECTROENCEPHALOGRAPHY, EPILEPSY, SEIZURES (Medicine), DATA distribution, FOURIER transforms

Noise-aware progressive multi-scale deepfake detection.

Autoren: Ding, Xinmiao Pang, Shuai Guo, Wen

Quelle: Multimedia Tools & Applications; Nov2024, Vol. 83 Issue 36, p83677-83693, 17p

Schlagwörter: CONVOLUTIONAL neural networks, FORGERY, DATA mining, TRUST, GLOBAL method of teaching, DIGITAL images

Integrating Ontology-Based Approaches with Deep Learning Models for Fine-Grained Sentiment Analysis.

Autoren: Longgang Zhao Seok-Won Lee

Quelle: Computers, Materials & Continua; 2024, Vol. 81 Issue 1, p1855-1877, 23p

Schlagwörter: FILM reviewing, SENTIMENT analysis, RESTAURANT reviews, CONSUMERS' reviews, STRUCTURAL frames, DEEP learning

基于深度学习的多产品煤料图像分类方法研究. (Chinese)

Alternate Title: Study on multi-product coal image classification method based on deep learning. (English)

Autoren: 张泽琳 章智伟 胡 齐 et al.

Quelle: Coal Science & Technology (0253-2336); Sep2021, Vol. 49 Issue 9, p117-123, 7p

Schlagwörter: DEEP learning, ARTIFICIAL neural networks, COAL ash, COMPUTER vision, COALFIELDS, BIG data, FOREST mapping

Explainable credit scoring through generative adversarial networks

Autoren: Han, Seongil

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.848288

Physics-informed deep Koopman operator for Lagrangian dynamic systems.

Autoren: Wang, Xuefeng Cao, Yang Chen, Shaofeng et al.

Quelle: SCIENCE CHINA Information Sciences; Sep2024, Vol. 67 Issue 9, p1-18, 18p

基于多序列 MRI 影像组学与深度迁移学习特征的脑胶质瘤分 级预测研究. (Chinese)

Alternate Title: Prediction of glioma grading based on multi ⁃ sequence MRI radiomics and deep transfer learning features. (English)

Autoren: 刘志鹏 降建新 吴琪炜 et al.

Quelle: Journal of Nanjing Medical University: Natural Sciences; Mar2024, Vol. 44 Issue 3, p372-379, 8p

CNN-AE 在超奈奎斯特无线光通信端到端系统中的性能. (Chinese)

Alternate Title: End-to-end performance of a CNN-AE based faster-than-Nyquist rate free space optical communication system. (English)

Autoren: 曹明华 王瑞 张悦 et al.

Quelle: Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) / Chongqing Youdian Daxue Xuebao (Ziran Kexue Ban); Feb2024, Vol. 36 Issue 1, p181-190, 10p

Schlagwörter: ATMOSPHERIC turbulence, OPTICAL communications, ERROR rates, WIRELESS communications

Learning to Generate and Manipulate 3D Radiance Field by a Hierarchical Diffusion Framework with CLIP Latent.

Autoren: Wang, Jiaxu Zhang, Ziyi Xu, Renjing

Quelle: Computer Graphics Forum; Oct2023, Vol. 42 Issue 7, p1-13, 13p, 4 Color Photographs, 3 Diagrams, 5 Charts, 1 Graph

Application of a Convolutional Autoencoder to Half Space Radar Hrrp Recognition

Autoren: Yong-Jun Xie Shi-Hao Yu

Quelle: 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). :48-53

Schlagwörter: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Zugangs-URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8521306
https://ieeexplore.ieee.org/document/8521306/

Emotional textile image classification based on cross-domain convolutional sparse autoencoders with feature selection.

Autoren: Zuhe Li Yangyu Fan Weihua Liu et al.

Quelle: Journal of Electronic Imaging; Jan/Feb2017, Vol. 26 Issue 1, p1-16, 16p

Schlagwörter: INFORMATION storage & retrieval systems, CATALOGING, INFORMATION science, DIGITAL photography, IMAGE databases