Výsledky vyhledávání - "stacked denoising autoencoder model"

Prediction of psychophysiological perception of driver in road tunnel using particle swarm optimization improved stacked denoising autoencoder model

Autoři: Can Qin Bo Liang Jia'an Niu a další

Zdroj: Array, Vol 27, Iss , Pp 100475- (2025)

Témata: Lighting environment of road tunnel, Stacked denoising autoencoder, Particle swarm optimization, Information representation, Psychophysiological perception, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S259000562500102X; https://doaj.org/toc/2590-0056

Přístupová URL adresa: https://doaj.org/article/42d2b7245a534844bd1edcf6bbf34507

Accurate estimation of state of charge and state of health of electric vehicle power batteries based on dynamic channel pruning informer-stacked denoising autoencoder model.

Autoři: Peng, Ziran Wang, Shunhao Zhang, Shengchun a další

Zdroj: Electrical Engineering. Jan2026, Vol. 108 Issue 1, p1-19. 19p.

Identification of Cancer Mediating Biomarkers using Stacked Denoising Autoencoder Model - An Application on Human Lung Data

Autoři: Anupam Ghosh Ranjan Ghosh Amlan Chakrabarti a další

Zdroj: Procedia Computer Science. 167:686-695

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S1877050920308073

Traceability and analysis method for measurement laboratory testing data based on intelligent Internet of Things and deep belief network

Autoři: He PeiDong Li XiaoJun Shen WenQi a další

Zdroj: Journal of Intelligent Systems, Vol 33, Iss 1, Pp 6821-30 (2024)

Témata: intelligent iot, deep belief network, metrology laboratory, data traceability, abnormal analysis, stacked denoising autoencoder model, cosine similarity, gaussian bernoulli restricted boltzmann machine, cloud-management-edge-end, Science, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2191-026X

Přístupová URL adresa: https://doaj.org/article/b2a8183e0b4746a7aaeba8a4f7b0893c

Identification of Cancer Mediating Biomarkers using Stacked Denoising Autoencoder Model - An Application on Human Lung Data.

Autoři: Sheet, Sougata Ghosh, Anupam Ghosh, Ranjan a další

Zdroj: Procedia Computer Science. 2020, Vol. 167, p686-695. 10p.

Témata: Gene expression profiling, Gaussian mixture models, Biomarkers, Support vector machines, Gene expression, Feature selection

DC Disturbance Classification Method Based on Compressed Sensing and Encoder.

Autoři: Yu, Huanan Zhang, Xiang Wang, Jian

Zdroj: Energy Engineering; 2025, Vol. 122 Issue 12, p5055-5071, 17p

A novel fault early warning method for centrifugal blowers based on stacked denoising autoencoder and transfer learning.

Autoři: Zhang, You Li, Congbo Tang, Ying a další

Zdroj: Journal of Manufacturing Systems. Oct2024, Vol. 76, p443-456. 14p.

Témata: *PROBLEM solving, HEALTH status indicators, LEARNING ability, NOISE

A comprehensive performance evaluation method based on muti-task learning-assisted stacked performance-related autoencoder for hot strip mill process.

Autoři: Ma, Jian-hong Qin, Xin Peng, Kai-xiang a další

Zdroj: Journal of Iron & Steel Research; Dec2025, Vol. 32 Issue 12, p4264-4280, 17p

Health condition identification for rolling bearing using a multi-domain indicator-based optimized stacked denoising autoencoder.

Autoři: Yan, Xiaoan Liu, Ying Jia, Minping

Zdroj: Structural Health Monitoring; Sep2020, Vol. 19 Issue 5, p1602-1626, 25p

Témata: ROLLER bearings, DEEP learning, AUTOMATIC identification, LINEAR operators, MATHEMATICAL optimization, BIOLOGICALLY inspired computing, ALGORITHMS

Emotion Recognition Algorithm Based on MultiModal Physiological Signal Feature Fusion Using Artificial Intelligence and Deep Learning.

Autoři: Yue Pan

Zdroj: International Journal of Advanced Computer Science & Applications; 2025, Vol. 16 Issue 6, p105-118, 14p

Optimising coronary imaging decisions with machine learning: an external validation study.

Autoři: Overmars, L. Malin van Es, Bram Groepenhoff, Floor a další

Zdroj: Open Heart (2053-3624); Jan2025, Vol. 12 Issue 1, p1-9, 9p

Recognition of Cancer Mediating Genes using the Novel Restricted Boltzmann Machines.

Autoři: Sheet, Sougata Ghosh, Anupam Ghosh, Ranjan a další

Zdroj: Wireless Personal Communications; Oct2024, Vol. 138 Issue 4, p2275-2298, 24p

Témata: ARTIFICIAL neural networks, BOLTZMANN machine, WEIGHT training, CANCER genes, GENE expression profiling

A method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension.

Autoři: Xu, Qianen Gao, Qingfei Liu, Yang

Zdroj: Computer-Aided Civil & Infrastructure Engineering; Jun2024, Vol. 39 Issue 11, p1641-1658, 18p

Témata: OPTICAL fiber detectors, STRUCTURAL health monitoring, GIRDERS, BRIDGES, SUSPENSION bridges, LONG-span bridges, MOTOR vehicle springs & suspension, IDENTIFICATION, TEMPORAL databases

Health indicator construction and application of coal mill based on the dynamic model.

Autoři: Yin, Weiming Hu, Yefa Ding, Guoping a další

Zdroj: Structural Health Monitoring; Mar2024, Vol. 23 Issue 2, p686-700, 15p

Témata: HEALTH status indicators, COAL-fired power plants, DYNAMIC models, COAL, FAULT diagnosis, GENETIC algorithms

Intelligent fault diagnosis of hydroelectric units based on radar maps and improved GoogleNet by depthwise separate convolution.

Autoři: Wang, Yunhe Zou, Yidong Hu, Wenqing a další

Zdroj: Measurement Science & Technology; Feb2024, Vol. 35 Issue 2, p1-20, 20p

Témata: FAULT diagnosis, FEATURE extraction, HYDROELECTRIC power plants, INTELLIGENT transportation systems, RADAR

Deep learning-based collaborative filtering recommender systems: a comprehensive and systematic review.

Autoři: Torkashvand, Atena Jameii, Seyed Mahdi Reza, Akram

Zdroj: Neural Computing & Applications; Dec2023, Vol. 35 Issue 35, p24783-24827, 45p

Témata: DEEP learning, RECOMMENDER systems, CONVOLUTIONAL neural networks, INFORMATION overload

DHSIRS: a novel deep hybrid side information-based recommender system.

Autoři: Yengikand, Amir Khani Meghdadi, Majid Ahmadian, Sajad

Zdroj: Multimedia Tools & Applications; Sep2023, Vol. 82 Issue 22, p34513-34539, 27p

Témata: RECOMMENDER systems, DEEP learning, ARTIFICIAL neural networks

Detection of Autism Spectrum Disorder using fMRI Functional Connectivity with Feature Selection and Deep Learning.

Autoři: Zhang, Jin Feng, Fan Han, Tianyi a další

Zdroj: Cognitive Computation; Jul2023, Vol. 15 Issue 4, p1106-1117, 12p

Mobile Localization Techniques for Wireless Sensor Networks: Survey and Recommendations.

Autoři: DE OLIVEIRA, LEONARDO L. EISENKRAEMER, GABRIEL H. CARARA, EVERTON A. a další

Zdroj: ACM Transactions on Sensor Networks; May2023, Vol. 19 Issue 2, p1-39, 39p

Témata: WIRELESS sensor networks, WIRELESS localization, QUANTITATIVE research

Self-Constructed Deep Fuzzy Neural Network for Traffic Flow Prediction.

Autoři: An, Jiyao Zhao, Jin Liu, Qingqin a další

Zdroj: Electronics (2079-9292); Apr2023, Vol. 12 Issue 8, p1885, 23p

Témata: FUZZY neural networks, DEEP learning, TRAFFIC flow, INTELLIGENT transportation systems, TRAFFIC congestion, CITY traffic, CITIES & towns

People: MENDEL, Gregor, 1822-1884