المؤلفون: Slivinskis, Victor Barbosa, Maluli, Isabela Agi, Broder, Joshua Seth

المصدر: Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health. 26(1)

مصطلحات موضوعية: Patient Safety, machine learning, Device Recall, Random Forest Regressor, Device risk-stratification

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/4sd03611
https://escholarship.org/content/qt4sd03611/qt4sd03611.pdf

المؤلفون: Waldemar Wójcik, Assem Shayakhmetova, Ardak Akhmetova, Assel Abdildayeva, Galymzhan Nurtugan

المصدر: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 14, Iss 4 (2024)

مصطلحات موضوعية: autoregression, ARIMA, time series, Decision Tree Regressor, Random Forest Regressor, Cat Boost Regressor, Environmental engineering, TA170-171, Environmental sciences, GE1-350

وصف الملف: electronic resource

Relation: https://ph.pollub.pl/index.php/iapgos/article/view/6295; https://doaj.org/toc/2083-0157; https://doaj.org/toc/2391-6761

URL الوصول: https://doaj.org/article/cf137333f8ad46dda513a4579ee87409

المؤلفون: Tammineni Shanmukha Prasanthi, Swarajya Madhuri Rayavarapu, Gottapu Sasibhushana Rao, Raj Kumar Goswami, Gottapu Santosh Kumar

المصدر: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 14, Iss 4 (2024)

مصطلحات موضوعية: RSSI, K-Nearest Neighbor, Indoor Localization, Random Forest Regressor, Environmental engineering, TA170-171, Environmental sciences, GE1-350

وصف الملف: electronic resource

Relation: https://ph.pollub.pl/index.php/iapgos/article/view/6236; https://doaj.org/toc/2083-0157; https://doaj.org/toc/2391-6761

URL الوصول: https://doaj.org/article/f07971d9fb4541caae5e92ac4cd24d59

المؤلفون: Ali J. Ali, Ashraf A. Ahmed

المصدر: Cleaner Water, Vol 2, Iss , Pp 100051- (2024)

مصطلحات موضوعية: Transformer model, Extreme gradient boosting, Random forest regressor, River ecosystem, Toxicity, Ammonium, Environmental technology. Sanitary engineering, TD1-1066

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2950263224000498; https://doaj.org/toc/2950-2632

URL الوصول: https://doaj.org/article/a9205124dc034a9fbb011fd1b1df0307

المؤلفون: M.D. Adewale, D.U. Ebem, O. Awodele, A. Sambo-Magaji, E.M. Aggrey, E.A. Okechalu, R.E. Donatus, K.A. Olayanju, A.F. Owolabi, J.U. Oju, O.C. Ubadike, G.A. Otu, U.I. Muhammed, O.R. Danjuma, O.P. Oluyide

المصدر: Systems and Soft Computing, Vol 6, Iss , Pp 200132- (2024)

مصطلحات موضوعية: GDP, Electricity access, Healthcare Spending, Life Expectancy, Machine Learning, Random Forest Regressor, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772941924000619; https://doaj.org/toc/2772-9419

URL الوصول: https://doaj.org/article/259003f89e35434b96900dddd384f759

المؤلفون: Anita Sjahrunnisa, Nanik Suciati, Shintami Chusnul Hidayati

المصدر: Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), Vol 18, Iss 2, Pp 30-36 (2024)

مصطلحات موضوعية: gru, attention, random forest regressor, stock, Electronics, TK7800-8360, Applications of electric power, TK4001-4102

وصف الملف: electronic resource

Relation: https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/1707; https://doaj.org/toc/2460-8122

URL الوصول: https://doaj.org/article/a2bb9e8cd9b546ab9a63b2889004455c

المؤلفون: Wen He, Song Chen, Xianghong Fu, Licong Xu, Jun Xie, Jinxing Wan

المصدر: Biomolecules & Biomedicine (2024)

مصطلحات موضوعية: Femoral neck bone mineral density, osteoporotic femoral neck fractures, NHANES, machine learning, random forest regressor, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://www.bjbms.org/ojs/index.php/bjbms/article/view/10725; https://doaj.org/toc/2831-0896; https://doaj.org/toc/2831-090X

URL الوصول: https://doaj.org/article/a3a457b782e54ab0812d1bc574f22964

المؤلفون: Anjar Setiawan, Ema Utami, Dhani Ariatmanto

المصدر: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 8, Iss 1, Pp 72-79 (2024)

مصطلحات موضوعية: cattle, machine learning, linear regression, random forest regressor, prediction model, Systems engineering, TA168, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: http://jurnal.iaii.or.id/index.php/RESTI/article/view/5494; https://doaj.org/toc/2580-0760

URL الوصول: https://doaj.org/article/d9b5097ecbf24f1db5d7f96787b6431f

المؤلفون: V Siva Brahmaiah Rama, Sung-Ho Hur, Jung-Min Yang

المصدر: IEEE Access, Vol 12, Pp 22465-22478 (2024)

مصطلحات موضوعية: Extreme gradient boosting, fault prediction, long short-term memory autoencoder, random forest regressor, self-organizing maps, wind turbine, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10430146/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/6f3b9384d6424d1bbb9c82332b37fbef

المؤلفون: Fedorova, Elena, Chertsov, Pavel, Kuzmina, Anna

المصدر: Journal of Financial Reporting and Accounting, 2022, Vol. 21, Issue 4, pp. 820-846.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/JFRA-05-2022-0201

المؤلفون: Saleh Ghadernejad, Kamran Esmaeili

المصدر: Remote Sensing, Vol 16, Iss 20, p 3778 (2024)

مصطلحات موضوعية: hyperspectral imaging, Leeb rebound hardness (LRH), Cerchar abrasivity index (CAI), random forest regressor (RFR), visible and near-infrared (VNIR), short-wave infrared (SWIR), Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/20/3778; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/b4592204873c454b95859aa3a4e5214a

المؤلفون: Diniz Carvalho de Arruda, Jorge Ricardo Ducati, Pâmela Aude Pithan, Adriane Brill Thum, Rosemary Hoff

المصدر: Ciência Rural, Vol 54, Iss 7 (2024)

مصطلحات موضوعية: hiperespectral, vinhedos, partial least-squares regression, random forest regressor, Agriculture, Agriculture (General), S1-972

وصف الملف: electronic resource

Relation: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782024000700352&tlng=en; https://doaj.org/toc/1678-4596

URL الوصول: https://doaj.org/article/08a582d508bd49d09d9966766ea6326f

المؤلفون: Piotr Gajewski, Boris Čule, Nevena Rankovic

المصدر: Journal of Theoretical and Applied Electronic Commerce Research, Vol 18, Iss 3, Pp 1365-1403 (2023)

مصطلحات موضوعية: online job vacancies, ARIMA, Support Vector Regressor, Random Forest Regressor, Business, HF5001-6182

وصف الملف: electronic resource

Relation: https://www.mdpi.com/0718-1876/18/3/69; https://doaj.org/toc/0718-1876

URL الوصول: https://doaj.org/article/ccf21a5609a54394b315c8a7248ff35e

المؤلفون: Mihail Kolev

المصدر: ChemEngineering, Vol 8, Iss 4, p 70 (2024)

مصطلحات موضوعية: copper–beryllium alloys, machine learning, random forest regressor, material properties, feature importance, cluster analysis, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2305-7084/8/4/70; https://doaj.org/toc/2305-7084

URL الوصول: https://doaj.org/article/f53a5a5042984b31a2057c3d44c7ddc1

المؤلفون: Debabrata Dansana, S Gopal Krishna Patro, Brojo Kishore Mishra, Vivek Prasad, Abdul Razak, Anteneh Wogasso Wodajo

المصدر: Engineering Reports, Vol 6, Iss 2, Pp n/a-n/a (2024)

مصطلحات موضوعية: bank loan approval analysis, financial risk, loan prediction, machine learning, Random Forest regressor, Engineering (General). Civil engineering (General), TA1-2040, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2577-8196

URL الوصول: https://doaj.org/article/52474175cb7b4df19002b9f7f3b62d16

المؤلفون: Figen Özen

المصدر: Heliyon, Vol 10, Iss 4, Pp e25746- (2024)

مصطلحات موضوعية: Covid-19 pandemic, Machine learning, Ensemble learning, Random forest regressor, Bagging regressor, Boosting regressor, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024017778; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/de31c3ea3be24704a2467b5796afd584

المؤلفون: Abhilipsa Sahoo, Kaushika Patel

المصدر: Indian Journal of Science and Technology, 17(7), 617-624, (2024-02-08)

مصطلحات موضوعية: Machine Learning (ML) model, Random Forest regressor, multi­output regressor, Feature engineering, Fine­tuning

Relation: eissn:0974-5645; https://doi.org/10.17485/IJST/v17i7.3076; oai:zenodo.org:14006455

الاتاحة: https://doi.org/10.17485/IJST/v17i7.3076
https://indjst.org/articles/machine-learning-based-inverse-design-model-of-a-transistor

المؤلفون: Goel, Pramit

المصدر: Journal of Humanities and Social Sciences Studies; Vol. 6 No. 10; 68-76 ; 2663-7197

مصطلحات موضوعية: Regional Music, Ethnomusicology, Spotify, Language Preservation, Clustering, Random Forest Regressor

وصف الملف: application/pdf

Relation: https://al-kindipublisher.com/index.php/jhsss/article/view/7955/6808

الاتاحة: https://al-kindipublisher.com/index.php/jhsss/article/view/7955
https://doi.org/10.32996/jhsss.2024.6.10.8

المؤلفون: Sjahrunnisa, Anita, Suciati, Nanik, Hidayati, Shintami Chusnul

المصدر: Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems); Vol. 18 No. 2 (2024) ; 2460-8122 ; 10.21776/jeeccis.v18i2

مصطلحات موضوعية: GRU, Attention, random forest regressor, stock

Relation: https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/1707

الاتاحة: https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/1707

المؤلفون: Ambati, Hemanth Sai Kumar, Durga Prasad, M. V. R., Yeole, Shivraj Narayan, Kode, Jaya Prakash

المصدر: International Journal of Integrated Engineering; Vol. 16 No. 2 (2024): Special Issue: Mechanical Engineering (Article in Press); 21-37 ; 2600-7916 ; 2229-838X

مصطلحات موضوعية: Friction stir welding, Analysis of variance, Ultimate tensile strength, Random forest regressor, Artificial Neural Network

وصف الملف: application/pdf

Relation: http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/12515/6393; http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/12515

الاتاحة: http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/12515