Výsledky vyhledávání - Cascaded stacked autoencoder

SAINT-IIOT: Elk herd optimized deep learning model for efficient anomaly detection in the IIoT

Autoři: K. Mahalakshmi B. Jaison

Zdroj: Ain Shams Engineering Journal, Vol 16, Iss 12, Pp 103625- (2025)

Témata: Anomaly detection, Deep learning, Cascaded stacked autoencoder, Elk Herd optimization, Synthetic minority over-sampling technique, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447925003661; https://doaj.org/toc/2090-4479

Přístupová URL adresa: https://doaj.org/article/b71d88cb59ae4468ab3b624a1a5509fa

A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery

Autoři: Qiongbing Xiong Xuecheng Wu Cizhen Yu a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Témata: Land-use classification, Deep learning, VGG-19, Stacked autoencoder, Metaheuristic, Boosted Big-Bang crunch theory, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/e74a76f1129b4b589601b9244ecb2568

Indoor WiFi fingerprint localization based on dual population PSO of stacked autoencoder and multi label classification.

Autoři: Cheng, Yiguo Zhang, Kun Zheng, Bing a další

Zdroj: Scientific Reports; 9/26/2025, Vol. 15 Issue 1, p1-17, 17p

Témata: AUTOENCODERS, PARTICLE swarm optimization, WIRELESS geolocation systems, INDOOR positioning systems, CLASSIFICATION algorithms, ARTIFICIAL neural networks

Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks.

Autoři: Prasad KS Lydia EL Rajesh MV a další

Zdroj: Scientific reports [Sci Rep] 2024 Dec 28; Vol. 14 (1), pp. 30833. Date of Electronic Publication: 2024 Dec 28.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Stacked-autoencoder-based model for COVID-19 diagnosis on CT images

Autoři: Li, Daqiu Fu, Zhangjie Xu, Jun

Zdroj: Appl Intell (Dordr)
Applied Intelligence

Témata: Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Article, 3. Good health

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s10489-020-02002-w.pdf
https://pubmed.ncbi.nlm.nih.gov/34764564
https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-935301
https://dblp.uni-trier.de/db/journals/apin/apin51.html#LiFX21
https://link.springer.com/article/10.1007/s10489-020-02002-w
https://doi.org/10.1007/s10489-020-02002-w
https://link.springer.com/content/pdf/10.1007/s10489-020-02002-w.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652058

Stacked-autoencoder-based model for COVID-19 diagnosis on CT images.

Autoři: Li, Daqiu Fu, Zhangjie Xu, Jun

Zdroj: Applied Intelligence; May2021, Vol. 51 Issue 5, p2805-2817, 13p

Témata: COVID-19 testing, COVID-19 pandemic, DIAGNOSTIC imaging, COVID-19, VIRAL transmission

Synthetic Aperture Radar Target Recognition with Feature Fusion Based on a Stacked Autoencoder

Autoři: Miao Kang Kefeng Ji Xiangguang Leng a další

Zdroj: Sensors, Vol 17, Iss 1, p 192 (2017)

Témata: SAR target recognition, feature fusion, stacked autoencoder, MSTAR, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: http://www.mdpi.com/1424-8220/17/1/192; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/572111510af84dc487794e380792fd39

Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network

Autoři: Muhammad Aqeel Aslam Cuili Xue Yunsheng Chen a další

Zdroj: Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)

Témata: Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/6edaf71c76934a3491833917528d380d

A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder.

Autoři: Pan, Penghao Zhao, Dong Li, Yueyang

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment (Sage Publications, Ltd.); Aug2023, Vol. 237 Issue 3, p625-636, 12p

Optimized feature fusion-based modified cascaded kernel extreme learning machine for heart disease prediction in E-healthcare.

Autoři: Kumar, Sumit Gola, Kamal Kumar Jee, Narayan a další

Zdroj: Computer Methods in Biomechanics & Biomedical Engineering; Jun2024, Vol. 27 Issue 8, p980-993, 14p

Témata: MACHINE learning, HEART diseases, FEATURE extraction, OPTIMIZATION algorithms, DATA extraction, ERROR rates, KERNEL operating systems

Geografický termín: CLEVELAND (Ohio)

Prediction of miRNA–Disease Associations by Cascade Forest Model Based on Stacked Autoencoder.

Autoři: Hu, Xiang Yin, Zhixiang Zeng, Zhiliang a další

Zdroj: Molecules; Jul2023, Vol. 28 Issue 13, p5013, 14p

Témata: BREAST tumors, HEPATOCELLULAR carcinoma, FORECASTING, BREAST, MICRORNA

A Fault Identification Method for Metal Oxide Arresters Combining Suppression of Environmental Temperature and Humidity Interference with a Stacked Autoencoder.

Autoři: Shu, Shengwen Zhang, Xiaoyao Wang, Guobin a další

Zdroj: Energies (19961073); Dec2023, Vol. 16 Issue 24, p8033, 17p

Témata: METALLIC oxides, HUMIDITY, INTERFERENCE suppression, SUPPORT vector machines, TEMPERATURE, IDENTIFICATION

Twin-RSA: deep learning-based automated heterogeneous data fusion approach for patient progression prediction using EHR data.

Autoři: Hanji, Savita S. Birje, Mahantesh N.

Zdroj: Multimedia Tools & Applications; Feb2025, Vol. 84 Issue 7, p3859-3892, 34p

Témata: LONG short-term memory, LENGTH of stay in hospitals, ELECTRONIC health records, AUTOENCODERS, DATA scrubbing

Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network.

Autoři: Yılmaz, Esra Kavalcı Adem, Kemal Kılıçarslan, Serhat a další

Zdroj: European Food Research & Technology; Jun2023, Vol. 249 Issue 6, p1655-1667, 13p

Témata: CONVOLUTIONAL neural networks, DEEP learning, MACHINE learning, AGRICULTURAL processing, COLOR space, LEMON

Exploiting Stacked Autoencoders for Improved Sentiment Analysis.

Autoři: Ahmed, Kanwal Nadeem, Muhammad Imran Li, Dun a další

Zdroj: Applied Sciences (2076-3417); Dec2022, Vol. 12 Issue 23, p12380, 24p

Témata: SENTIMENT analysis, FEATURE extraction, DEEP learning, SUPPORT vector machines, NATURAL language processing, DATA mining

KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network.

Autoři: Khamparia, Aditya Saini, Gurinder Pandey, Babita a další

Zdroj: Multimedia Tools & Applications; 2020, Vol. 79 Issue 47/48, p35425-35440, 16p

Témata: CHRONIC kidney failure, DEEP learning, NOSOLOGY, MACHINE learning, YEAR, LIFE expectancy, MULTIMEDIA systems

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost.

Autoři: Liu, Dayun Huang, Yibiao Nie, Wenjuan a další

Zdroj: BMC Bioinformatics; 4/28/2021, Vol. 22 Issue 1, p1-18, 18p

Témata: COLON cancer, SEMANTICS, MICRORNA, HEPATOCELLULAR carcinoma, FORECASTING, BREAST cancer

A novel deep learning‐based technique for driver drowsiness detection.

Autoři: Mukherjee, Prithwijit Roy, Anisha Halder

Zdroj: Human Factors & Ergonomics in Manufacturing & Service Industries; Nov2024, Vol. 34 Issue 6, p667-684, 18p

Témata: GALVANIC skin response, WAKEFULNESS, FEATURE extraction, DROWSINESS, TRAFFIC accidents

Intelligent Differentiation Framework for Lewy Body Dementia and Alzheimer's Disease Using Adaptive Multi-Cascaded ResNet–Autoencoder–LSTM Network.

Autoři: Sravani, K. RaviSankar, V.

Zdroj: International Journal of Image & Graphics; Nov2025, Vol. 25 Issue 6, p1-30, 31p

AS3-SAE: Automatic Sleep Stages Scoring Using Stacked Autoencoders.

Autoři: Vaezi, Mahtab Nasri, Mehdi

Zdroj: Frontiers in Biomedical Technologies; Autumn2023, Vol. 10 Issue 4, p400-416, 17p

Témata: DEEP learning, ARTIFICIAL neural networks, ELECTROENCEPHALOGRAPHY, ELECTROCARDIOGRAPHY