المؤلفون: Tao, Li, Xue, Xinhua

المصدر: Journal of Civil Engineering and Management; Vol 31 No 1 (2025); 39–56 ; 1822-3605 ; 1392-3730

مصطلحات موضوعية: bearing capacity, pile, adaptive neuro-fuzzy inference system, least squares support vector machine, stacked ensemble model

وصف الملف: application/pdf

Relation: https://journals.vilniustech.lt/index.php/JCEM/article/view/21886/12427; https://journals.vilniustech.lt/index.php/JCEM/article/view/21886

الاتاحة: https://journals.vilniustech.lt/index.php/JCEM/article/view/21886
https://doi.org/10.3846/jcem.2024.21886

المؤلفون: Gul Rukh, Shahid Akbar, Gauhar Rehman, Fawaz Khaled Alarfaj, Quan Zou

المصدر: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)

مصطلحات موضوعية: Antioxidant proteins, Transformation, Evolutionary features, Stacked ensemble model, Feature selection, Prediction, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1471-2105

URL الوصول: https://doaj.org/article/e5d6e48e3e9942829613f9b4b7b2312c

المؤلفون: Shahid Akbar, Ali Raza, Quan Zou

المصدر: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-16 (2024)

مصطلحات موضوعية: Antiviral peptides, Prediction, Tri-segmentation based evolutionary features, Word embedding, Feature selection, Stacked ensemble model, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1471-2105

URL الوصول: https://doaj.org/article/6a7864f91e40414d859ece90809395b0

المؤلفون: Woosung Kim, Jengei Hong

المصدر: Land, Vol 13, Iss 9, p 1436 (2024)

مصطلحات موضوعية: stacking approaches, stacked ensemble model, ensemble model, predictive models, mass appraisal, machine learning, Agriculture

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-445X/13/9/1436; https://doaj.org/toc/2073-445X

URL الوصول: https://doaj.org/article/9249989676ec454982df4f5b3da31afc

المؤلفون: Varghese, Seba, Dehlaghi Ghadim, Alireza, Balador, Ali, Alimadadi, Zahra, Papadimitratos, Panagiotis

المصدر: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022. :611-617

مصطلحات موضوعية: Digital Twin, Industrial Control Systems, Intrusion Detection Systems, Machine Learning, Stacked Ensemble Model, Denial-of-service attack, E-learning, Intrusion detection, Supervised learning, Ensemble models, Industrial systems, Intrusion-Detection, Machine-learning, Predictive maintenance, Security frameworks, Simulation optimization, Learning algorithms, Gerontology, specialising in Medical and Health Sciences, Gerontologi, medicinsk/hälsovetenskaplig inriktning

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-315094
https://kth.diva-portal.org/smash/get/diva2:1678942/FULLTEXT01.pdf

المؤلفون: Annapoorani Selvaraj, Lakshmi Mohandoss

المصدر: Applied Sciences, Vol 14, Iss 16, p 7366 (2024)

مصطلحات موضوعية: major depressive disorder, stacked ensemble model, supervised learning, feature selection, feature importance, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/16/7366; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/7c5a64ca5c2f4007ae3fb3bf2739efe7

المؤلفون: Ahmed M S Kheir, Osama A M Ali, Ashifur Rahman Shawon, Ahmed S Elrys, Marwa G M Ali, Mohamed A Darwish, Ahmed M Elmahdy, Ayman Farid Abou-Hadid, Rogerio de S Nóia Júnior, Til Feike

المصدر: Environmental Research Letters, Vol 19, Iss 10, p 104049 (2024)

مصطلحات موضوعية: CMIP6, downscaled NEX scenarios, automatic machine learning, stacked ensemble model, uncertainty, nutritional concentrations, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999

Relation: https://doi.org/10.1088/1748-9326/ad75ab; https://doaj.org/toc/1748-9326; https://doaj.org/article/9d7ec7cdfad34ef5945e3768e40fbb34

الاتاحة: https://doi.org/10.1088/1748-9326/ad75ab
https://doaj.org/article/9d7ec7cdfad34ef5945e3768e40fbb34

المؤلفون: Ahmadi, Hossein, Mesin, Luca

المساهمون: Ahmadi, Hossein, Mesin, Luca

مصطلحات موضوعية: brain-computer interface, stacked ensemble model, ensemble learning, weighted stacking ensemble, time series cross-validation, EEG signal processing, motor imagery EEG classification, error correlation analysis

وصف الملف: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001191766400001; volume:13; issue:6; numberofpages:24; journal:ELECTRONICS; https://hdl.handle.net/11583/2989263; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85188844354; https://www.mdpi.com/2079-9292/13/6/1033

الاتاحة: https://hdl.handle.net/11583/2989263
https://doi.org/10.3390/electronics13061033
https://www.mdpi.com/2079-9292/13/6/1033

المؤلفون: Prashant Kunwar, Prakash Choudhary

المصدر: Intelligent Systems with Applications, Vol 17, Iss , Pp 200165- (2023)

مصطلحات موضوعية: Stroke, CNN, Stacked ensemble model, ECG, Physiological data, Cybernetics, Q300-390, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2667305322001028; https://doaj.org/toc/2667-3053

URL الوصول: https://doaj.org/article/e85190dc7817400b9446809774bf8782

المؤلفون: Unmesh Mandal, Anirban Chakraborty, Phulen Mahato, Goutam Das

المصدر: Indian Journal of Science and Technology, 16(8), 570-582, (2023-02-27)

مصطلحات موضوعية: Machine Learning, Stacked Ensemble Model, Support Vector Regression, Multiple Linear Regression, Time Series data analysis, Stock Price Prediction

Relation: eissn:0974-5645; https://doi.org/10.17485/IJST/v16i8.2197; oai:zenodo.org:13271966

الاتاحة: https://doi.org/10.17485/IJST/v16i8.2197
https://indjst.org/articles/linvec-a-stacked-ensemble-machine-learning-architecture-for-analysis-and-forecasting-of-time-series-data

المؤلفون: Lizy Abraham, Steven Davy, Muhammad Zawish, Rahul Mhapsekar, John A. Finn, Patrick Moran

المصدر: Sensors; Volume 22; Issue 6; Pages: 2190

مصطلحات موضوعية: farmland habitat, habitat classification, drone images, base-learner, meta-learner, stacked ensemble model

وصف الملف: application/pdf

Relation: Internet of Things; https://dx.doi.org/10.3390/s22062190

الاتاحة: https://doi.org/10.3390/s22062190

المؤلفون: Jinjin Zhou, Guangsheng Wang, Junbiao Liu, Duanpo Wu, Weifeng Xu, Zimeng Wang, Jing Ye, Ming Xia, Ying Hu, Yuanyuan Tian

المصدر: IEEE Access, Vol 8, Pp 57283-57297 (2020)

مصطلحات موضوعية: Sleep stage classification, single channel EEG signal, two-layer stacked ensemble model, random forest, LightGBM, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9044349/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/39f0e6756d6546d49998eeffff34bfec

المؤلفون: Bui-Ngoc, Tram, Nguyen, Tan, Nguyen-Quang, Minh-The, Shiau, Jim

مصطلحات موضوعية: PHC pipe piles, Load–displacement behavior, Soft computing, Stacked ensemble model, Pareto multi-objectives optimization, Partial Dependence Plots (PDP)

Relation: https://doi.org/10.1016/j.engstruct.2024.118574; Bui-Ngoc, Tram, Nguyen, Tan, Nguyen-Quang, Minh-The and Shiau, Jim. 2024. "Predicting load–displacement of driven PHC pipe piles using stacking ensemble with Pareto optimization." Engineering Structures. 316. https://doi.org/10.1016/j.engstruct.2024.118574

الاتاحة: https://research.usq.edu.au/item/z85zv/predicting-load-displacement-of-driven-phc-pipe-piles-using-stacking-ensemble-with-pareto-optimization
https://doi.org/10.1016/j.engstruct.2024.118574

المؤلفون: Yılmaz, Yıldıran

المساهمون: RTEÜ, Mühendislik ve Mimarlık Fakültesi, Bilgisayar Mühendisliği Bölümü, Yılmaz, Yıldıran

مصطلحات موضوعية: Decision tree, Deep belief network, Machine learning, Random forest, Stacked ensemble model, Tuberculosis treatment outcomes

وصف الملف: application/pdf

Relation: Concurrency and Computation: Practice and Experience; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Yılmaz, Y. (2024). Stacked ensemble modeling for improved tuberculosis treatment outcome prediction in pediatric cases. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.8089; https://doi.org/10.1002/cpe.8089; https://hdl.handle.net/11436/8912

الاتاحة: https://hdl.handle.net/11436/8912
https://doi.org/10.1002/cpe.8089

المؤلفون: Seba Anna Varghese, Alireza Dehlaghi Ghadim, Ali Balador, Zahra Alimadadi, Panos Papadimitratos

مصطلحات موضوعية: Ensemble models, FOS: Computer and information sciences, Computer Science - Machine Learning, Denial-of-service attack, Computer Science - Cryptography and Security, Stacked Ensemble Model, Learning algorithms, E-learning, Machine Learning (cs.LG), Machine Learning, Digital Twin, Computer Systems, medicinsk/hälsovetenskaplig inriktning, Intrusion detection, Security frameworks, Machine-learning, specialising in Medical and Health Sciences, Industrial systems, Industrial Control Systems, Predictive maintenance, Intrusion Detection Systems, Gerontologi, Intrusion-Detection, Datorsystem, Simulation optimization, Gerontology, Cryptography and Security (cs.CR), Supervised learning

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d53b8a2c38d85737c1439aff25329b25
http://arxiv.org/abs/2207.09999

المؤلفون: Ming Xia, Weifeng Xu, Guangsheng Wang, Jing Ye, Duanpo Wu, Ying Hu, Jinjin Zhou, Yuanyuan Tian, Junbiao Liu, Zimeng Wang

المصدر: IEEE Access, Vol 8, Pp 57283-57297 (2020)

مصطلحات موضوعية: General Computer Science, Computer science, 02 engineering and technology, Polysomnography, Sleep staging, Electroencephalography, Non-rapid eye movement sleep, LightGBM, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, medicine, General Materials Science, Sleep Stages, medicine.diagnostic_test, business.industry, General Engineering, Eye movement, Pattern recognition, Sleep stage classification, two-layer stacked ensemble model, 020201 artificial intelligence & image processing, Wakefulness, Sleep (system call), Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, single channel EEG signal, lcsh:TK1-9971, 030217 neurology & neurosurgery, random forest

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21bbe3ba0d6106e296a2aaaf1527521c
https://ieeexplore.ieee.org/document/9044349/

المؤلفون: Varghese, Seba

مصطلحات موضوعية: Digital Twin, Intrusion Detection Systems, Industry 4.0, Industrial Control Systems, Machine Learning, Stacked Ensemble Model, Digital tvilling, Intrångsdetekteringssystem, Industri 4.0, Industriella styrsystem, Maskininlärning, Staplad ensemblemodell, Computer and Information Sciences, Data- och informationsvetenskap

وصف الملف: application/pdf

Relation: TRITA-EECS-EX ; 2021:903

الاتاحة: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-308842