المؤلفون: Shaheera Rashwan, Eman ElShenawy, Bayumy Youssef, Mohamed A. Abdou

المصدر: Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Steel rolling, Roll force, Real-time prediction, Semi-supervised regression, Support vector machines, Genetic algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2314-7172

URL الوصول: https://doaj.org/article/97f2b631476b456c9df946bf4a685957

المؤلفون: Xuming Shi, Lingjia Gu, Xiaofeng Li, Tao Jiang, Tong Gao

المصدر: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: Chlorophyll-a, transfer learning, semi-supervised regression, machine learning, Sentinel-2, Mathematical geography. Cartography, GA1-1776

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

URL الوصول: https://doaj.org/article/38adaf41eb064ed6a8ec666eb85a5ec5

المؤلفون: Sejin Sim, Jinsoo Bae, Seoung Bum Kim

المصدر: IEEE Access, Vol 12, Pp 60-72 (2024)

مصطلحات موضوعية: Vehicle interior noise, semi-supervised regression, spectrogram, consistency regularization, information maximization, mixup, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10375487/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/85776834ced2428f862076aa8e402b61

المؤلفون: Mohammad Fallah, Hossein Aghighi, Aliakbar Matkan

المصدر: Earth and Space Science, Vol 11, Iss 3, Pp n/a-n/a (2024)

مصطلحات موضوعية: forest structural attributes, LiDAR, individual tree detection, machine learning algorithms, semi‐supervised regression, Astronomy, QB1-991, Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2333-5084

URL الوصول: https://doaj.org/article/a81dacda75ea46b1bd6b6b4518a9ea96

المؤلفون: Tianhui Sha, Yong Peng

المصدر: Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 4, Pp 139-151 (2023)

مصطلحات موضوعية: Electroencephalogram (EEG), Emotion recognition, Label dragging, Orthogonal semi-supervised regression, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1319157823000824; https://doaj.org/toc/1319-1578

URL الوصول: https://doaj.org/article/80534d174ab1467ab5b9022d0a1122b3

المؤلفون: Tianhui Sha, Yikai Zhang, Yong Peng, Wanzeng Kong

المصدر: Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 11379-11402 (2023)

مصطلحات موضوعية: adaptive graph learning, electroencephalogram (eeg), emotion recognition, graph label propagation, semi-supervised regression, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1551-0018

URL الوصول: https://doaj.org/article/e498e8da5d274dafb033d3c80a5a08b7

المؤلفون: YAN Wei, LI Nan, SHEN Yuexiu, SHI Lixin, HU Bin, ZHOU Zhou

المصدر: Zhejiang dianli, Vol 42, Iss 2, Pp 83-89 (2023)

مصطلحات موضوعية: cnn-gan, semi-supervised regression, electric vehicle, charging load prediction, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=71ad32bf-2711-4d58-878d-cc8040a4065e; https://doaj.org/toc/1007-1881

URL الوصول: https://doaj.org/article/0191138b1c3c459a8b364908b2222709

المؤلفون: Yong Peng, Honggang Liu, Junhua Li, Jun Huang, Bao-Liang Lu, Wanzeng Kong

المصدر: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 759-768 (2023)

مصطلحات موضوعية: EEG emotion recognition, graph regularization, label-common features, label-specific features, semi-supervised regression, Medical technology, R855-855.5, Therapeutics. Pharmacology, RM1-950

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10003248/; https://doaj.org/toc/1558-0210

URL الوصول: https://doaj.org/article/d7ebcbfd507743dfb9d7085313e837cb

المؤلفون: Zell, Adina, Sumbul, Gencer, Demir, Begum

مصطلحات موضوعية: 000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung, Informatik, semi-supervised regression, parameter estimation, metric learning, deep learning

وصف الملف: application/pdf

Relation: https://depositonce.tu-berlin.de/handle/11303/20635; https://doi.org/10.14279/depositonce-19433

الاتاحة: https://depositonce.tu-berlin.de/handle/11303/20635
https://doi.org/10.14279/depositonce-19433

المؤلفون: Rudd, David Hason, Huo, Huan, Xu, Guandong

المساهمون: University of Technology Sydney (UTS), 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022

المصدر: 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings
AI 2021: Advances in Artificial Intelligence
https://hal.science/hal-04078344
AI 2021: Advances in Artificial Intelligence, 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022,, Feb 2022, Sydney, Australia. pp.304-319, ⟨10.1007/978-3-030-97546-3_25⟩

مصطلحات موضوعية: Financial literacy semi-supervised regression unbalanced datasets unlabelled Data, Financial literacy, semi-supervised regression, unbalanced datasets, unlabelled Data, [INFO]Computer Science [cs]

جغرافية الموضوع: Sydney, Australia

Relation: hal-04078344; https://hal.science/hal-04078344; https://hal.science/hal-04078344/document; https://hal.science/hal-04078344/file/Predicting_Financial_Literacy_via_Semi_supervised_Learning.pdf

الاتاحة: https://hal.science/hal-04078344
https://hal.science/hal-04078344/document
https://hal.science/hal-04078344/file/Predicting_Financial_Literacy_via_Semi_supervised_Learning.pdf
https://doi.org/10.1007/978-3-030-97546-3_25

المؤلفون: Chunpu Lv, Jingwei Huang, Ming Zhang, Huangang Wang, Tao Zhang

المصدر: Sensors, Vol 23, Iss 9, p 4392 (2023)

مصطلحات موضوعية: semi-supervised regression, active learning, deep kernel learning, virtual metrology, phase partition, phase match, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/23/9/4392; https://doaj.org/toc/1424-8220; https://doaj.org/article/23ebb6b2537f40e4ae574fb09e9a86b1

الاتاحة: https://doi.org/10.3390/s23094392
https://doaj.org/article/23ebb6b2537f40e4ae574fb09e9a86b1

المؤلفون: Laria de la Cruz, Juan Carlos, Clemmensen, Line H., Ersbøll, Bjarne K., Delgado Gómez, David

المساهمون: Ministerio de Ciencia e Innovación (España), Instituto de Salud Carlos III (España)

مصطلحات موضوعية: Covariate shift, Elastic net, Semi-supervised classification, Semi-supervised regression, Unlabeled data, Educación, Estadística, Informática, Matemáticas

Relation: Gobierno de España. DTS21/00091; Gobierno de España. RTI2018-101857-B-432 I00; Laria, J. C., Clemmensen, L. H., Ersbøll, B. K. & Delgado-Gómez, D. (2020). A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features. Mathematics, 10(16), 3001.; http://hdl.handle.net/10016/37552; https://doi.org/10.3390/math10163001; 16, 3001; 18; Mathematics; 10; AR/0000031430

الاتاحة: http://hdl.handle.net/10016/37552
https://doi.org/10.3390/math10163001

المؤلفون: Zhou, B, Duan, H, Wu, Q, Wang, H, Or, SW, Chan, KW, Meng, Y

المساهمون: Department of Electrical Engineering

مصطلحات موضوعية: Generative adversarial network, Renewable energy, Semi-supervised regression, Wind power forecasting, Wind power ramp event

Relation: http://hdl.handle.net/10397/93950; 125; 2-s2.0-85090423513; 106411; EE-0041

الاتاحة: http://hdl.handle.net/10397/93950
https://doi.org/10.1016/j.ijepes.2020.106411

المؤلفون: Chien-Liang Liu, Qing-Hong Chen

المصدر: IEEE Access, Vol 8, Pp 30001-30011 (2020)

مصطلحات موضوعية: Semi-supervised regression, metric learning, siamese network, embedding space, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8979413/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/def8e627605a4ac9af11b29d631409de

المؤلفون: Siwei Wu, Jian Yang, Guangming Cao, Yunlong Qiu, Guoguang Cheng, Meiyi Yao, Jianxin Dong

المصدر: IEEE Access, Vol 8, Pp 134124-134136 (2020)

مصطلحات موضوعية: Mechanical property, deep neural network, safe semi-supervised regression, Bayesian optimization, hot-rolled strips, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9144570/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/a91a92451c464299a2981c4f6e44537a

المؤلفون: Yunmin Liang, Zhichun Liu, Wei Liu

المصدر: Energy and AI, Vol 4, Iss , Pp 100052- (2021)

مصطلحات موضوعية: Polymeric composites, BN sheets, Semi-supervised regression, Thermal conductivity, Artificial neural network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666546821000069; https://doaj.org/toc/2666-5468

URL الوصول: https://doaj.org/article/f632833cd15e476388171f88636fc540

المؤلفون: Sung Wook Kim, Young Gon Lee, Bayu Adhi Tama, Seungchul Lee

المصدر: Applied Sciences, Vol 10, Iss 3832, p 3832 (2020)

مصطلحات موضوعية: semi-supervised regression, camera lens module, pseudo-label, deep neural network, modular transfer function, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/10/11/3832; https://doaj.org/toc/2076-3417; https://doaj.org/article/da452a83cc1342d0aae903aafb1754eb

الاتاحة: https://doi.org/10.3390/app10113832
https://doaj.org/article/da452a83cc1342d0aae903aafb1754eb

المؤلفون: Huizeng Liu, Tiezhu Shi, Yiyun Chen, Junjie Wang, Teng Fei, Guofeng Wu

المصدر: Remote Sensing; Volume 9; Issue 1; Pages: 29

مصطلحات موضوعية: visible and near-infrared reflectance, soil organic carbon content, semi-supervised regression, co-training

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/rs9010029

الاتاحة: https://doi.org/10.3390/rs9010029

المؤلفون: Yi Yang, Jiping Liu, Shenghua Xu, Yangyang Zhao

المصدر: ISPRS International Journal of Geo-Information; Volume 5; Issue 1; Pages: 4

مصطلحات موضوعية: semi-supervised regression, geographical weighted regression, spatial nonstationarity, housing prices

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/ijgi5010004

الاتاحة: https://doi.org/10.3390/ijgi5010004

المؤلفون: Jian Yang, Guoguang Cheng, Siwei Wu, Yunlong Qiu, Meiyi Yao, Jianxin Dong, Guangming Cao

المصدر: IEEE Access, Vol 8, Pp 134124-134136 (2020)

مصطلحات موضوعية: General Computer Science, Correlation coefficient, STRIPS, law.invention, symbols.namesake, law, safe semi-supervised regression, Ultimate tensile strength, General Materials Science, Mechanical property, Mathematics, Bayesian optimization, Artificial neural network, business.industry, Deep learning, General Engineering, deep neural network, Pattern recognition, Pearson product-moment correlation coefficient, Regression, hot-rolled strips, symbols, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efcae0c2a88e2a812dcf6f4cd679f8e3
https://ieeexplore.ieee.org/document/9144570/