المؤلفون: Peipei Zeng, Shuimiao Kang, Fan Fan, Jiyuan Liu

المصدر: Frontiers in Neuroinformatics, Vol 19 (2025)

مصطلحات موضوعية: heart sound detection, semi-supervised anomaly detection, sample imbalance, convolutional autoencoder, one classification support vector machine, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fninf.2025.1530047/full; https://doaj.org/toc/1662-5196

URL الوصول: https://doaj.org/article/59e646350ce746aba235b5d7fd35df0d

المؤلفون: Meng Huang, Wenshan Li, Junjiang He, Xiaolong Lan, Tao Li, Nian Zhang

المصدر: International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-15 (2024)

مصطلحات موضوعية: Immune detector, Semi-supervised anomaly detection, Industrial cyber-physical systems, LightGBM, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1875-6883

URL الوصول: https://doaj.org/article/c1a79fd1e545400ca92dd1ed4a0a7872

المؤلفون: Fouzi Harrou, Benamar Bouyeddou, Nabil Zerrouki, Abdelkader Dairi, Ying Sun, Yacine Zerrouki

المصدر: Results in Engineering, Vol 22, Iss , Pp 102037- (2024)

مصطلحات موضوعية: Desertification detection, Semi-supervised anomaly detection, Radiometric data, Landsat imagery, Machine learning, Technology

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123024002901; https://doaj.org/toc/2590-1230

URL الوصول: https://doaj.org/article/fa51e05b110141dcb8f8c3ed2ab2165c

المؤلفون: Fahad Alharbi, Suhuai Luo, Abdullah Alsaedi, Sipei Zhao, Guang Yang

المصدر: Sensors, Vol 24, Iss 23, p 7569 (2024)

مصطلحات موضوعية: chroma features, semi-supervised anomaly detection, isolation forest, one-class SVM, idler fault detection, industrial machinery, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/23/7569; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/e10901a1f107412387d19d10630bca52

المؤلفون: Dong Hyuk Heo, Sung Ho Park, Soon Ju Kang

المصدر: Journal of Big Data, Vol 10, Iss 1, Pp 1-22 (2023)

مصطلحات موضوعية: Unregistered users, Similarity datasets, Semi-supervised anomaly detection, Edge computing, Artificial Intelligence on edge node, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2196-1115

URL الوصول: https://doaj.org/article/c7157116b2234d94bfab11fc9ee5d7d4

المؤلفون: Eugeny Yu. Shchetinin, Tatyana R. Velieva

المصدر: Discrete and Continuous Models and Applied Computational Science, Vol 30, Iss 3, Pp 258-268 (2022)

مصطلحات موضوعية: smart energy grids, cyber-attacks, semi-supervised anomaly detection, deep learning, autoencoder, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://journals.rudn.ru/miph/article/viewFile/32206/21241; https://doaj.org/toc/2658-4670; https://doaj.org/toc/2658-7149

URL الوصول: https://doaj.org/article/e27ee52c059a459187c7ceafec482b81

المؤلفون: Sofya Bouchenak, Rachid Merzougui, Fouzi Harrou, Abdelkader Dairi, Ying Sun

المصدر: IEEE Access, Vol 10, Pp 76622-76635 (2022)

مصطلحات موضوعية: Modulation recognition, MIMO systems, deep learning, GAN, semi-supervised anomaly detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9832883/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/bc3bd4f94fc84e6b868fbb08905c6a9e

المؤلفون: Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, Farid Kadri, Ying Sun

المصدر: Diagnostics; Volume 13; Issue 8; Pages: 1466

مصطلحات موضوعية: COVID-19, routine blood tests, kernel PCA, semi-supervised anomaly detection, data-driven

وصف الملف: application/pdf

Relation: Machine Learning and Artificial Intelligence in Diagnostics; https://dx.doi.org/10.3390/diagnostics13081466

الاتاحة: https://doi.org/10.3390/diagnostics13081466

المؤلفون: Chao Wang, Yunxiao Sun, Sicai Lv, Chonghua Wang, Hongri Liu, Bailing Wang

المصدر: Electronics; Volume 12; Issue 4; Pages: 930

مصطلحات موضوعية: intrusion detection, semi-supervised anomaly detection, autoencoder, one-class support vector machine, Gaussian mixture model

وصف الملف: application/pdf

Relation: Networks; https://dx.doi.org/10.3390/electronics12040930

الاتاحة: https://doi.org/10.3390/electronics12040930

المؤلفون: Yanqing Zhu, Dabing Chen, Liheng Yang, Guangyu Yuan, Rui Wei, Yining Hu

المصدر: Energy Reports, Vol 7, Iss , Pp 183-189 (2021)

مصطلحات موضوعية: Nondestructive testing (NDT), Semi-supervised anomaly detection, Aluminum Conductor Composite Core (ACCC) wires, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484721000962; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/134d5312316f4bb3be7a4f81da8d1f55

المؤلفون: Zeqing Yang, Wenbo Zhang, Wei Cui, Lingxiao Gao, Yingshu Chen, Qiang Wei, Libing Liu

المصدر: Energies; Volume 15; Issue 15; Pages: 5671

مصطلحات موضوعية: linear motor feeding system, lack of abnormal samples, deep neural network, anomaly detection, semi-supervised anomaly detection generative adversarial network (GANomaly), long short-term memory (LSTM) network

وصف الملف: application/pdf

Relation: F3: Power Electronics; https://dx.doi.org/10.3390/en15155671

الاتاحة: https://doi.org/10.3390/en15155671

المؤلفون: Bouchenak, Sofya, Merzougui, Rachid, Harrou, Fouzi, Dairi, Abdelkader, Sun, Ying

المساهمون: Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Environmental Statistics Group, Statistics Program, Faculty of Engineering Science of Tlemcen, STIC Laboratory, Tlemcen, Algeria, Faculty of Engineering of Saida, EASPM Laboratory, Saida, Algeria, Computer Science Department Signal, Image and Speech Laboratory (SIMPA) Laboratory, University of Science and Technology of Oran-Mohamed Boudiaf (USTO-MB), El Mnaouar, BP 1505, Bir El Djir, Algeria

مصطلحات موضوعية: Modulation recognition, MIMO systems, Deep learning, GAN, semi-supervised anomaly detection

وصف الملف: application/pdf

Relation: https://ieeexplore.ieee.org/document/9832883/; Bouchenak, S., Merzougui, R., Harrou, F., Dairi, A., & Sun, Y. (2022). A semi-supervised modulation identification in MIMO systems: A deep learning strategy. IEEE Access, 1–1. https://doi.org/10.1109/access.2022.3192415; IEEE Access; 1-1; http://hdl.handle.net/10754/679739

الاتاحة: http://hdl.handle.net/10754/679739
https://doi.org/10.1109/access.2022.3192415

المؤلفون: Konstantina Fotiadou, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Dimitrios Skias, Sofia Tsekeridou, Theodore Zahariadis

مصطلحات موضوعية: pfSense software, semi-supervised anomaly detection, deep feature learning, long short term memory networks, convolutional neural networks, suricata network logs anomaly detection

Relation: https://zenodo.org/communities/eu; https://doi.org/10.3390/info12050215; oai:zenodo.org:5045112

الاتاحة: https://doi.org/10.3390/info12050215

المؤلفون: Ruobin Qi, Craig Rasband, Jun Zheng, Raul Longoria

المصدر: Information, Vol 12, Iss 328, p 328 (2021)

مصطلحات موضوعية: smart grids, cyber-physical systems, cyber attacks, semi-supervised anomaly detection, deep representation learning, deep autoencoder (DAE), Information technology, T58.5-58.64

Relation: https://www.mdpi.com/2078-2489/12/8/328; https://doaj.org/toc/2078-2489; https://doaj.org/article/ff3bb28fd4194b1b9c81d31a19fd145e

الاتاحة: https://doi.org/10.3390/info12080328
https://doaj.org/article/ff3bb28fd4194b1b9c81d31a19fd145e

المؤلفون: Jiang Bian, Xiaolong Hui, Shiying Sun, Xiaoguang Zhao, Min Tan

المصدر: IEEE Access, Vol 7, Pp 88903-88916 (2019)

مصطلحات موضوعية: Semi-supervised anomaly detection, conditional variational auto-encoder, generative adversarial networks, informative manifold, structural similarity loss, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8727990/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/a8b1b0cb29b647c49047301aaeab2dba

المؤلفون: Konstantina Fotiadou, Terpsichori Helen Velivassaki, Artemis Voulkidis, Dimitrios Skias, Corrado De Santis, Theodore Zahariadis

مصطلحات موضوعية: SCADA Anomaly Detection, cyberphysical systems, semi-supervised anomaly detection, sparse stacked autoencoders, deep feature learning

Relation: https://zenodo.org/communities/eu; https://doi.org/10.3390/en13102622; oai:zenodo.org:5045130

الاتاحة: https://doi.org/10.3390/en13102622

المؤلفون: Dabing Chen, Wei Rui, Liheng Yang, Yanqing Zhu, Guangyu Yuan, Hu Yining

المصدر: Energy Reports, Vol 7, Iss, Pp 183-189 (2021)

مصطلحات موضوعية: business.industry, Computer science, 020209 energy, Composite number, Process (computing), Pattern recognition, Nondestructive testing (NDT), 02 engineering and technology, Object detection, Conductor, Visualization, Core (optical fiber), General Energy, 020401 chemical engineering, Nondestructive testing, 0202 electrical engineering, electronic engineering, information engineering, Aluminum Conductor Composite Core (ACCC) wires, Anomaly detection, Semi-supervised anomaly detection, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, 0204 chemical engineering, business, lcsh:TK1-9971

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5117240f9c56291aff0d92b7bd93d2af
http://www.sciencedirect.com/science/article/pii/S2352484721000962

المؤلفون: Jun Zheng, Ruobin Qi, Craig Rasband, Raul Longoria

المصدر: Information, Vol 12, Iss 328, p 328 (2021)
Information
Volume 12
Issue 8

مصطلحات موضوعية: Computer science, Blackout, Information technology, Machine learning, computer.software_genre, cyber-physical systems, deep representation learning, Electric power system, semi-supervised anomaly detection, medicine, smart grids, business.industry, Supervised learning, Cyber-physical system, deep autoencoder (DAE), T58.5-58.64, Smart grid, Cyber-attack, Anomaly detection, Artificial intelligence, medicine.symptom, business, computer, Feature learning, cyber attacks, Information Systems

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd98b80e8adf7ed6674e1158679d964e
https://www.mdpi.com/2078-2489/12/8/328

المؤلفون: Xiaoguang Zhao, Min Tan, Jiang Bian, Xiaolong Hui, Shiying Sun

المصدر: IEEE Access, Vol 7, Pp 88903-88916 (2019)

مصطلحات موضوعية: conditional variational auto-encoder, Discriminator, Similarity (geometry), General Computer Science, Computer science, structural similarity loss, 0211 other engineering and technologies, Multivariate normal distribution, 02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, 021101 geological & geomatics engineering, business.industry, informative manifold, General Engineering, Pattern recognition, Mutual information, Feature (computer vision), Outlier, 020201 artificial intelligence & image processing, Anomaly detection, Semi-supervised anomaly detection, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, generative adversarial networks, business, lcsh:TK1-9971, Generator (mathematics)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce4c863b9c6ede8d0b6dabba76a0b95a
https://ieeexplore.ieee.org/document/8727990/

المؤلفون: Ryosuke KASAHARA, Takuya TANAKA, 田中 拓哉, 笠原 亮介

المصدر: 日本画像学会誌 / NIHON GAZO GAKKAISHI (Journal of the Imaging Society of Japan). 2016, 55(3):348