Výsledky vyhledávání - improved autoencoder*

AN IMPROVED SWIN TRANSFORMER BASED STACKED CAPSULE AUTOENCODER MODEL FOR WEED DETECTION IN RICE FIELDS

Autoři: null Sourabh Sagar, Mahantesh N.Birje

Zdroj: International Journal of Applied Mathematics. 38:558-584

Fault diagnosis method for multi-source heterogeneous data based on improved autoencoder

Autoři: Shuai Zheng Zhiguo Ma

Zdroj: Journal of Vibroengineering. 27:991-1011

Improved anomaly diagnosis of production facilities by combining Autoencoder with spectral characteristics

Autoři: Fuki SAKA Yuichi CHIDA Masaya TANEMURA a další

Zdroj: Nihon Kikai Gakkai ronbunshu, Vol 91, Iss 944, Pp 24-00161-24-00161 (2025)

Témata: autoencoder, Engineering machinery, tools, and implements, machine learning, TJ1-1570, Mechanical engineering and machinery, TA213-215, unsupervised learning, anomaly detection, fft

Přístupová URL adresa: https://doaj.org/article/55010e1065424f75be7f9130a51d6b5c

Intelligent evaluation method for identifying favorable shale oil areas based on improved stacked sparse autoencoder

Autoři: Rui Xu Tie Yan Shihui Sun a další

Zdroj: Oil Shale, Vol 42, Iss 1, Pp 79-114 (2025)

Témata: autoencoder, semi-supervised learning, Technology, Q1-390, Science (General), batch normalization, shale oil, favorable area

Adversarial Masked Graph Autoencoders for Improved Graph Representation Learning

Autoři: Yulan Hu Zhirui Yang Sheng Ouyang a další

Zdroj: Proceedings of the 2025 International Conference on Multimedia Retrieval. :478-486

Study on transformer fault diagnosisbased on improved deep residual shrinkage network and optimized residual variational autoencoder

Autoři: Haiyan Yao Yuefei Xu Qiang Guo a další

Zdroj: Energy Reports. 13:1608-1619

The Synergy of Autoencoders and Electronic Health Records for Improved Patient Care

Autoři: Rami N. Alkhawaji

Zdroj: 2025 4th International Conference on Computing and Information Technology (ICCIT). :457-464

A new DDoS attack detection model based on improved stacked autoencoder and gated recurrent unit for software defined network

Autoři: Haizhen Wang Na Jia Yang He a další

Zdroj: The Computer Journal. 68:1028-1049

Developing Improved Melanoma Detection Strategies Using Hybrid CNN and Autoencoder Models and Detailed Data Analysis

Autoři: null Vinay S. Nalawade

Zdroj: Journal of Information Systems Engineering and Management. 10:383-399

Signal Enhancement for Downhole Microseismic Data Using Improved Attention Mechanism Based on Autoencoder Network

Autoři: Wenxuan Ge Qinghui Mao Wei Zhou a další

Zdroj: IEEE Access, Vol 12, Pp 156390-156400 (2024)

Témata: autoencoder network, first arrival picking, improved attention mechanism, Microseismic signal denoising, polarization analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Přístupová URL adresa: https://doaj.org/article/2c58241bbbcf44c5824ba514c4ba0f3f

Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment

Autoři: Mohamed Yacin Sikkandar S. Sabarunisha Begum Ahmad Alassaf a další

Zdroj: Measurement Science Review, Vol 25, Iss 1, Pp 10-14 (2025)

Témata: random noise, artefacts, emg, neural network, ecg, QA1-939, eeg, fractional calculus, optimization, Mathematics

Přístupová URL adresa: https://doaj.org/article/7fc54c166bc0498585e53db9e88c9f87

Time-Inferred Sparse Autoencoder for Improved Full-Field Reconstruction from Sparse Measurements

Autoři: Nitin Nagesh Kulkarni Alessandro Sabato

Zdroj: Computer Vision & Laser Vibrometry, Vol. 6 ISBN: 9788743804277

Improved Stacked Autoencoder Combined with LSTM-CA for Intrusion Detection Model

Autoři: Yuyang Zhu

Zdroj: 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). :314-318

Epileptic Seizure Recognition Using Improved Modes Decomposition and Online Sequential Autoencoder Multi-Kernel Broad Learning System

Autoři: Bhanja Kishor Swain Susanta Kumar Rout Mrutyunjaya Sahani a další

Zdroj: IEEE Sensors Journal. 25:10454-10465

Deep Learning-Powered Equalization with Autoencoders for Improved 5G Communication

Autoři: Adomeas Asfaw Tafere Tewodros Seble Hailemariam Tsegamlak Terefe Debella

Zdroj: 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). :1-6

Patch-Shuffled Superpixel Synthetic Anomaly Insertion in Autoencoder Foreground Extracted Regions for Improved Visual Anomaly Detection

Autoři: Zain Ul Arifeen Rizwan Ali Shah Hyungwon Kim a další

Zdroj: IEEE Access. 13:151696-151713

An Explainable Autoencoder-Based Feature Extraction Combined with CNN-LSTM-PSO Model for Improved Predictive Maintenance

Autoři: Ishaani Priyadarshini

Zdroj: Computers, Materials & Continua. 83:635-659

An Interpretable Fault Detection Approach for Industrial Processes Based on Improved Autoencoder

Autoři: Zhen-Lei Ma Xiao-Jian Li Fu-Qiang Nian

Zdroj: IEEE Transactions on Instrumentation and Measurement. 74:1-13

A Novel Multimodal Process Monitoring Method Based on Improved Just-in-Time Learning-Assisted Stacked Quality-Related Autoencoder

Autoři: Xin Qin Kaixiang Peng Hongjun Zhang

Zdroj: IEEE Transactions on Instrumentation and Measurement. 74:1-11

Data Quality Improvement Method for Power Equipment Condition Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization

Autoři: JI Rong, HOU Huijuan, SHENG Gehao, ZHANG Lijing, SHU Bo, JIANG Xiuchen

Zdroj: Shanghai Jiaotong Daxue xuebao, Vol 59, Iss 6, Pp 780-788 (2025)

Témata: Chemical engineering, Naval architecture. Shipbuilding. Marine engineering, status data, VM1-989, TP155-156, TA1-2040, Engineering (General). Civil engineering (General), stacked denoising autoencoder, data cleaning, power equipment

Přístupová URL adresa: https://doaj.org/article/a9b9c95033014d53b01068f2d1ca54df