Search Results - sparse denoising autoencoder (sage)

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

Authors: Yaluo Zhou Shaochuan Zhang Wenguang Liu et al.

Source: Ironmaking & Steelmaking: Processes, Products and Applications.

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

Authors: Kalu, Kingsley Ataguba, Grace Onifade, Oyepeju et al.

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

Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges.

Authors: Zuev VA Salmagambetova EG Djakov SN et al.

Source: Journal of medical systems [J Med Syst] 2025 Oct 20; Vol. 49 (1), pp. 142. Date of Electronic Publication: 2025 Oct 20.

Publication Type: Journal Article; Review

Journal Info: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE

MeSH Terms: Electroencephalography*/methods , Epilepsy*/diagnosis , Epilepsy*/physiopathology , Video Recording*/methods, Humans ; Machine Learning

Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.

Authors: Zhang, Yu Chen, Zhe Sage

Source: Nature Biomedical Engineering; Aug2025, Vol. 9 Issue 8, p1186-1201, 16p

Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection.

Authors: Ahmed, Imtiaz Galoppo, Travis Hu, Xia et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2022, Vol. 44 Issue 8, p4110-4124, 15p

Subject Terms: ANOMALY detection (Computer security), GENERATIVE adversarial networks, EUCLIDEAN metric, GEODESIC distance, EUCLIDEAN distance, SPANNING trees, GEODESICS

Deep Learning-Based Image Restoration and Super-Resolution for Fluorescence Microscopy: Overview and Resources.

Authors: Lohr D Meyer L Woelk LM et al.

Source: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2025; Vol. 2904, pp. 21-50.

Publication Type: Journal Article; Review

Journal Info: Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE

MeSH Terms: Deep Learning* , Image Processing, Computer-Assisted*/methods, Microscopy, Fluorescence/methods ; Humans ; Signal-To-Noise Ratio

Autoencoder-based patch learning for real-world image denoising

Authors: Fei Chen Haiqing Chen Xunxun Zeng et al.

Source: Journal of Algorithms & Computational Technology, Vol 13 (2019)

Subject Terms: Applied mathematics. Quantitative methods, T57-57.97, Mathematics, QA1-939

File Description: electronic resource

Relation: https://doaj.org/toc/1748-3026

Access URL: https://doaj.org/article/38ef931bc2ca4014ad6396af56d862c5

Rectifying Ill-Formed Interlingual Space: A Framework for Zero-Shot Translation on Modularized Multilingual NMT.

Authors: Liao, Junwei Shi, Yu

Source: Mathematics (2227-7390); Nov2022, Vol. 10 Issue 22, p4178, 23p

Subject Terms: MACHINE translating, TRANSLATING & interpreting

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

Authors: Pan, Penghao Zhao, Dong Li, Yueyang

Source: 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

Intelligent fault prediction of rolling bearing based on gate recurrent unit and hybrid autoencoder.

Authors: Che, Changchang Wang, Huawei Fu, Qiang et al.

Source: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Mar2021, Vol. 235 Issue 6, p1106-1114, 9p

Boosting sparsity-induced autoencoder: A novel sparse feature ensemble learning for image classification.

Authors: Rui Shi Jian Ji Chunhui Zhang et al.

Source: International Journal of Advanced Robotic Systems; May/Jun2019, Vol. 16 Issue 3, p1-9, 9p

Subject Terms: IMAGE reconstruction algorithms, COMPUTER vision, BACK propagation, IMAGE processing, IMAGE denoising, CLASSIFICATION, DEEP learning

Adversarial Reconstruction with Spectral-Augmented and Graph Joint Embedding for Network Anomaly Detection.

Authors: Yu, Liwei Wu, Jing Chen, Qimei et al.

Source: Electronics (2079-9292); Sep2025, Vol. 14 Issue 18, p3730, 25p

Subject Terms: ANOMALY detection (Computer security), GRAPH neural networks, REPRESENTATIONS of graphs, ARTIFICIAL intelligence, AUTOENCODERS

A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling.

Authors: Xie, Jiarui Zhang, Chonghui Sage, Manuel et al.

Source: International Journal of Production Research; Jun2024, Vol. 62 Issue 12, p4181-4201, 21p

Subject Terms: MACHINE tools, MANUFACTURING processes, AUXETIC materials, FEATURE selection, GAS turbines

A Reconstruction Algorithm for Compression Perception Based on Local Learning Dictionary and Sparsity Iterative Update.

Authors: Haonan Yu

Source: SAGE Open; Apr-Jun2024, Vol. 14 Issue 2, p1-8, 10p

Subject Terms: COMPRESSED sensing, IMAGE reconstruction, ITERATIVE methods (Mathematics), SIMULATION methods & models, SPARSE approximations

A Discussion Regarding The Function Of Computers In Online Criminal Investigation For Companies During Disasters And Cyber Crises: An Exhaustive Research.

Authors: Peng Jiny Midhunchakkaravarthy, Divya

Source: Frontiers in Health Informatics; 2024, Vol. 13 Issue 8, p5334-5342, 9p

Subject Terms: DIGITAL forensics, CRIMINAL investigation, DATA recovery, CORPORATE governance, CYBERTERRORISM

Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction.

Authors: Hajim, Wesam Ibrahim Zainudin, Suhaila Daud, Kauthar Mohd et al.

Source: PeerJ Computer Science; Dec2024, p1-36, 36p

Subject Terms: CONVOLUTIONAL neural networks, LONG short-term memory, DEEP learning, GOLDEN eagle, AUTOENCODERS

A Survey on Variational Autoencoders in Recommender Systems.

Authors: Liang, Shangsong Pan, Zhou liu, wei et al.

Source: ACM Computing Surveys; Oct2024, Vol. 56 Issue 10, p1-40, 40p

Subject Terms: ARTIFICIAL neural networks, REINFORCEMENT learning, DEEP reinforcement learning, GRAPH neural networks, FEEDFORWARD neural networks, DEEP learning, LATENT variables

A Hybrid Sparse-dense Defensive DNN Accelerator Architecture against Adversarial Example Attacks.

Authors: Wang, Xingbin Zhao, Boyan Su, Yulan et al.

Source: ACM Transactions on Embedded Computing Systems; Sep2024, Vol. 23 Issue 5, p1-28, 28p

Subject Terms: RELIABILITY in engineering, RESOURCE management, SYSTEM safety, SYNCHRONIZATION, ARTIFICIAL intelligence

Motor PHM on Edge Computing with Anomaly Detection and Fault Severity Estimation through Compressed Data Using PCA and Autoencoder.

Authors: Choi, Jong Hyun Jang, Sung Kyu Cho, Woon Hyung et al.

Source: Machine Learning & Knowledge Extraction; Sep2024, Vol. 6 Issue 3, p1466-1483, 18p

Subject Terms: ANOMALY detection (Computer security), EDGE computing, PRINCIPAL components analysis, MANUFACTURING industries, EXPERTISE

A review of hyperspectral image classification based on graph neural networks.

Authors: Zhao, Xiaofeng Ma, Junyi Wang, Lei et al.

Source: Artificial Intelligence Review; Jun2025, Vol. 58 Issue 6, p1-56, 56p