Výsledky vyhledávání - improved stacked sparse denoising autoencoder

Flatness pattern recognition based on stacked sparse denoising autoencoder and improved Osprey optimisation algorithm kernel-extreme learning machine

Autoři: Zhou, Yaluo Zhang, Shaochuan Liu, Wenguang a další

Přispěvatelé: Zhou, Yaluo Zhang, Shaochuan Liu, Wenguang a další

Zdroj: Ironmaking & Steelmaking: Processes, Products and Applications ; ISSN 0301-9233 1743-2812

Dostupnost: https://doi.org/10.1177/03019233251324775
https://journals.sagepub.com/doi/pdf/10.1177/03019233251324775
https://journals.sagepub.com/doi/full-xml/10.1177/03019233251324775

Prediction of Recurrence using a Stacked Denoising Autoencoder and Multifaceted Feature Analysis of Pretreatment MRI in Patients with Nasopharyngeal Carcinoma.

Autoři: Liu Y Wang X Li J a další

Zdroj: Current radiopharmaceuticals [Curr Radiopharm] 2025; Vol. 18 (3), pp. 224-243.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 101468718 Publication Model: Print Cited Medium: Internet ISSN: 1874-4729 (Electronic) Linking ISSN: 18744710 NLM ISO Abbreviation: Curr Radiopharm Subsets: MEDLINE

Výrazy ze slovníku MeSH: Nasopharyngeal Carcinoma*/diagnostic imaging , Nasopharyngeal Carcinoma*/radiotherapy , Nasopharyngeal Carcinoma*/pathology , Magnetic Resonance Imaging*/methods , Neoplasm Recurrence, Local*/diagnostic imaging , Nasopharyngeal Neoplasms*/diagnostic imaging , Nasopharyngeal Neoplasms*/radiotherapy , Nasopharyngeal Neoplasms*/pathology, Humans ; Female ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Radiotherapy, Intensity-Modulated ; Aged ; Deep Learning ; Autoencoder

Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review.

Autoři: Kalu, Kingsley Ataguba, Grace Onifade, Oyepeju a další

Zdroj: Nutrients. Oct2025, Vol. 17 Issue 20, p3223. 33p.

Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance.

Autoři: Xiao, Fei Lu, Tianguang Wu, Mingli a další

Zdroj: IET Generation, Transmission & Distribution (Wiley-Blackwell); Jan2020, Vol. 14 Issue 2, p140-147, 8p

Ship Shaft Frequency Extraction Based on Improved Stacked Sparse Denoising Auto-Encoder Network.

Autoři: Ni, Junshuai Zhao, Mei Hu, Changqing a další

Zdroj: Applied Sciences (2076-3417); Sep2022, Vol. 12 Issue 18, p9076-9076, 16p

Témata: DRIVE shafts, SHIP models, SHIPS, PROPELLERS

SPR: Malicious traffic detection model for CTCS-3 in railways.

Autoři: Siyang Zhou Wenjiang Ji Xinhong Hei a další

Zdroj: High-speed Railway; Jun2025, Vol. 3 Issue 2, p105-115, 11p

Témata: EXTREME learning machines, TRAFFIC monitoring, AUTOENCODERS, INDUSTRIAL controls manufacturing, MACHINE learning

Low-level structure feature extraction for image processing via stacked sparse denoising autoencoder.

Autoři: Zunlin Fan Duyan Bi Linyuan He a další

Zdroj: Neurocomputing. Jun2017, Vol. 243, p12-20. 9p.

Témata: *FEATURE extraction, *IMAGE processing, *SIGNAL denoising, *ARTIFICIAL neural networks, *DEEP learning

A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion.

Autoři: Ghosh, Swarup Kr Biswas, Biswajit Ghosh, Anupam

Zdroj: Evolutionary Intelligence; Mar2021, Vol. 14 Issue 1, p133-149, 17p

Learning social representations with deep autoencoder for recommender system.

Autoři: Pan, Yiteng He, Fazhi Yu, Haiping

Zdroj: World Wide Web. Jul2020, Vol. 23 Issue 4, p2259-2279. 21p.

Témata: *SOCIAL learning, *COLLECTIVE representation, *RECOMMENDER systems, *MATRIX decomposition, *SOCIAL influence, *SOCIAL interaction, *SOCIAL problems

Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder.

Autoři: Dai, Juying Tang, Jian Shao, Faming a další

Zdroj: Applied Sciences (2076-3417); Jul2019, Vol. 9 Issue 13, p2743, 28p

Témata: HILBERT-Huang transform, FAULT diagnosis, ENTROPY (Information theory), PERMUTATIONS, DEEP learning

Korporace: INTERNATIONAL Monetary Fund, SOCIETY of Automotive Engineers

Digital Image Forgery Detection Using Cyclic Symmetry Convolutional Neural Network.

Autoři: S., Shashikala G. K., Ravikumar

Zdroj: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 1, p368-379, 12p

Témata: CONVOLUTIONAL neural networks, FEATURE selection, DIGITAL images, FEATURE extraction, AUTOENCODERS

Copy-Move Forgery Detection and Classification Using Improved Butterfly Optimization Algorithm-based Convolutional Neural Network.

Autoři: S., Shashikala G. K., Ravikumar

Zdroj: International Journal of Intelligent Engineering & Systems; 2024, Vol. 17 Issue 1, p869-879, 11p

Témata: CONVOLUTIONAL neural networks, FORGERY, OPTIMIZATION algorithms, FEATURE extraction, FEATURE selection

An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models.

Autoři: Dorathi Jayaseeli, J. D. Briskilal, J Fancy, C. a další

Zdroj: Scientific Reports; 3/3/2025, Vol. 15 Issue 1, p1-23, 23p

A novel optimization-driven deep learning framework for the detection of DDoS attacks.

Autoři: Batchu, Raj Kumar Bikku, Thulasi Thota, Srinivasarao a další

Zdroj: Scientific Reports; 11/14/2024, Vol. 12 Issue 1, p1-16, 16p

Accurate prediction of drug-target interactions in Chinese and western medicine by the CWI-DTI model

Autoři: Ying Li Xingyu Zhang Zhuo Chen a další

Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Témata: Drug-target interactions, Chinese medicine, Western medicine, Autoencoder framework, Drug databases, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/69626ab85e7547329ce14fcdec994394

Secure and Privacy-Preserving Framework for IoT-Enabled Smart Grid Environment.

Autoři: Kumar, Chandan Chittora, Prakash

Zdroj: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Mar2024, Vol. 49 Issue 3, p3063-3078, 16p

Témata: DEEP learning, ELECTRIC power transmission, INTELLIGENT networks, SMART meters, WIRELESS Internet, WIRELESS communications

A deep neural network with hybrid spotted hyena optimizer and grasshopper optimization algorithm for copy move forgery detection.

Autoři: Gupta, Ruchi Singh, Pushpa Alam, Tanweer a další

Zdroj: Multimedia Tools & Applications; Jul2023, Vol. 82 Issue 16, p24547-24572, 26p

Témata: OPTIMIZATION algorithms, FORGERY, GRASSHOPPERS, EVIDENCE gaps

Applications of Markov Decision Process Model and Deep Learning in Quantitative Portfolio Management during the COVID-19 Pandemic.

Autoři: Yue, Han Liu, Jiapeng Zhang, Qin

Zdroj: Systems; Oct2022, Vol. 10 Issue 5, pN.PAG-N.PAG, 20p

Témata: DEEP learning, REINFORCEMENT learning, MARKOV processes, DECISION making, COVID-19 pandemic, REWARD (Psychology)

Accurate Identification of Agricultural Inputs Based on Sensor Monitoring Platform and SSDA-HELM-SOFTMAX Model.

Autoři: Zou, Juan Jiang, Hanjing Wang, Qingxiu a další

Zdroj: Journal of Sensors; 11/24/2021, p1-12, 12p

Témata: ARTIFICIAL intelligence, ALGORITHMS, DETECTORS, SYSTEMS software, SYSTEMS development

A Novel Anti-Risk Method for Portfolio Trading Using Deep Reinforcement Learning.

Autoři: Yue, Han Liu, Jiapeng Tian, Dongmei a další

Zdroj: Electronics (2079-9292); May2022, Vol. 11 Issue 9, pN.PAG-N.PAG, 13p

Témata: REINFORCEMENT learning, DOW Jones industrial average, DEEP learning, RESISTANCE training, FEATURE extraction