المؤلفون: Kamalov, F., Rajab, K., Cherukuri, A. K., Elnagar, A., Safaraliev, M.

المصدر: Neurocomputing

مصطلحات موضوعية: CNN, COVID-19, DEEP LEARNING, FORECASTING, GNN, LSTM, MLP, SURVEY, LEARNING SYSTEMS, LONG SHORT-TERM MEMORY, 'CURRENT, GOOGLE SCHOLAR, LEARNING METHODS, MACHINE LEARNING METHODS, STATE-OF-THE ART REVIEWS, ARTICLE, CONVOLUTIONAL NEURAL NETWORK, CORONAVIRUS DISEASE 2019, GRADIENT BOOSTING, GRAPH NEURAL NETWORK, HUMAN, K NEAREST NEIGHBOR, LONG SHORT TERM MEMORY NETWORK, MATHEMATICAL MODEL, MULTILAYER PERCEPTRON, RANDOM FOREST, RECURRENT NEURAL NETWORK, SUPPORT VECTOR MACHINE, SUSCEPTIBLE EXPOSED INFECTIOUS RECOVERED MODEL, TAXONOMY

وصف الملف: application/pdf

العلاقة: Kamalov, F, Rajab, K, Cherukuri, AK, Elnagar, A & Safaraliev, M 2022, 'Deep learning for Covid-19 forecasting: State-of-the-art review', Neurocomputing, Том. 511, стр. 142-154. https://doi.org/10.1016/j.neucom.2022.09.005Test; Kamalov, F., Rajab, K., Cherukuri, A. K., Elnagar, A., & Safaraliev, M. (2022). Deep learning for Covid-19 forecasting: State-of-the-art review. Neurocomputing, 511, 142-154. https://doi.org/10.1016/j.neucom.2022.09.005Test; Final; All Open Access; Green Open Access; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454152Test; http://elar.urfu.ru/handle/10995/132485Test; 85138086201; 871948700012

الإتاحة: https://doi.org/10.1016/j.neucom.2022.09.005Test
http://elar.urfu.ru/handle/10995/132485Test
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454152Test

المؤلفون: Wahyono, null¹ wahyono@islab.ulsan.ac.kr, Hariyono, Joko¹ joko@islab.ulsan.ac.kr, Jo, Kang-Hyun¹ acejo@ulsan.ac.kr

المصدر: Neurocomputing. Mar2017, Vol. 228, p106-118. 13p.

مصطلحات موضوعية: *LUGGAGE, *BOOSTING algorithms, *SUPPORT vector machines, *VIDEO surveillance, *DESCRIPTOR systems, *SPATIAL analysis (Statistics), *COMPUTER network resources

المؤلفون: Hakan Ezgi Kiziloz

المصدر: Neurocomputing. 419:97-107

مصطلحات موضوعية: 0209 industrial biotechnology, Computer science, Cognitive Neuroscience, Feature selection, 02 engineering and technology, Machine learning, computer.software_genre, Logistic regression, Naive Bayes classifier, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, AdaBoost, Extreme learning machine, business.industry, Ensemble learning, Computer Science Applications, Random forest, Support vector machine, ComputingMethodologies_PATTERNRECOGNITION, 020201 artificial intelligence & image processing, Artificial intelligence, Gradient boosting, business, Classifier (UML), computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::45326ef3b6f57e1ea5903c206ccd45e1Test
https://doi.org/10.1016/j.neucom.2020.07.113Test

المؤلفون: Sanyam Shukla, Bhagat Singh Raghuwanshi

المصدر: Neurocomputing. 329:172-187

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), business.industry, Computer science, Cognitive Neuroscience, 02 engineering and technology, Machine learning, computer.software_genre, Computer Science Applications, Support vector machine, Class imbalance, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Classifier (UML), computer, Extreme learning machine

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::394cbddfeeec84a893cace532951d9cfTest
https://doi.org/10.1016/j.neucom.2018.10.056Test

المؤلفون: Yongzhao Zhan, Jianping Gou, Yong Dong, Xiang-Jun Shen, Jianping Fan

المصدر: Neurocomputing. 311:235-244

مصطلحات موضوعية: Statistics::Theory, Cognitive Neuroscience, 02 engineering and technology, Least squares, Statistics::Machine Learning, symbols.namesake, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Statistics::Methodology, Mathematics, business.industry, Hilbert space, 020206 networking & telecommunications, Pattern recognition, Regression, Statistics::Computation, Computer Science Applications, Random forest, Support vector machine, Kernel (statistics), symbols, 020201 artificial intelligence & image processing, Gradient boosting, Artificial intelligence, business, Reproducing kernel Hilbert space

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::1cff7d082e3b70e4e565fab08fe647dfTest
https://doi.org/10.1016/j.neucom.2018.05.065Test

المؤلفون: Dengya Zhu, Kok Wai Wong

المصدر: Neurocomputing. 249:321-336

مصطلحات موضوعية: Computer science, Cognitive Neuroscience, Feature selection, 02 engineering and technology, Machine learning, computer.software_genre, Bayes' theorem, Text mining, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Feature (machine learning), AdaBoost, Artificial neural network, business.industry, 05 social sciences, Boosting methods for object categorization, Computer Science Applications, Support vector machine, ComputingMethodologies_PATTERNRECOGNITION, Benchmark (computing), 020201 artificial intelligence & image processing, Artificial intelligence, 0509 other social sciences, 050904 information & library sciences, business, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::2b4adaea2c543683d0b4dc6293ce945cTest
https://doi.org/10.1016/j.neucom.2016.04.072Test

المؤلفون: Sang-Woon Kim, Thanh-Binh Le, Sugwon Hong

المصدر: Neurocomputing. 249:277-289

مصطلحات موضوعية: Boosting (machine learning), Computer science, Cognitive Neuroscience, Feature transformation, 02 engineering and technology, Semi-supervised learning, Multiple views of feature set, computer.software_genre, Artificial Intelligence, 020204 information systems, Machine learning, Feature decomposition methods, 0202 electrical engineering, electronic engineering, information engineering, Useful unlabeled data selection, SemiBoost learning, business.industry, Statistics, Pattern recognition, Computer Science Applications, Support vector machine, View based, Labeled data, 020201 artificial intelligence & image processing, Artificial intelligence, Data mining, business, computer, Data selection

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::469d906adb746e60c182d3cb9ffedd32Test
https://doi.org/10.1016/j.neucom.2017.04.021Test

المؤلفون: null Wahyono, Joko Hariyono, Kang-Hyun Jo

المصدر: Neurocomputing. 228:106-118

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), Computer science, Cognitive Neuroscience, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 02 engineering and technology, computer.software_genre, Mixture model, Computer Science Applications, Support vector machine, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Data mining, computer, Classifier (UML)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::ef728c94148037f6ebc344dd2d1bc0f0Test
https://doi.org/10.1016/j.neucom.2016.10.038Test

المؤلفون: Songting Xu, Ziqing Yuan, Yu Liu, Kai Yu, Biao Leng, Jingyan Qin

المصدر: Neurocomputing. 215:232-240

مصطلحات موضوعية: Boosting (machine learning), Computer science, business.industry, Cognitive Neuroscience, Feature vector, 020206 networking & telecommunications, Pattern recognition, 02 engineering and technology, Machine learning, computer.software_genre, Facial recognition system, Convolutional neural network, Computer Science Applications, Support vector machine, ComputingMethodologies_PATTERNRECOGNITION, Artificial Intelligence, Cascade, 0202 electrical engineering, electronic engineering, information engineering, Three-dimensional face recognition, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Cascading classifiers

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::eaad4467fc8d42773103253e054c1deeTest
https://doi.org/10.1016/j.neucom.2015.08.134Test

المؤلفون: Yvonne Gala, Ángela Fernández, Julia Díaz, José R. Dorronsoro

المصدر: Neurocomputing. 176:48-59

مصطلحات موضوعية: Computer science, business.industry, 020209 energy, Cognitive Neuroscience, 02 engineering and technology, Radiation, Solar energy, Numerical weather prediction, Computer Science Applications, Random forest, Support vector machine, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Econometrics, Gradient boosting, business, Interpolation

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::4d64c046b63f95268e10f8729715aba6Test
https://doi.org/10.1016/j.neucom.2015.02.078Test