المؤلفون: Yu-Yang Wang, Ke Chen, Zhe Wen, Ze-hao Jiang

المصدر: Environmental and Sustainability Indicators, Vol 23, Iss , Pp 100424- (2024)

مصطلحات موضوعية: Risk assessment, Air pollutant prediction, Digital twin, Respiratory infectious diseases, Environmental sciences, GE1-350

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2665972724000928; https://doaj.org/toc/2665-9727

URL الوصول: https://doaj.org/article/6e63544272ab4926a03ea3ce05dea04e

المؤلفون: Yohan Lee, Junghyun Park, Jinseok Kim, Jung-Hun Woo, Jong-Hyeon Lee

المصدر: Atmosphere, Vol 15, Iss 10, p 1186 (2024)

مصطلحات موضوعية: air pollutant prediction, CMAQ surrogate model, health impact assessment, Meteorology. Climatology, QC851-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4433/15/10/1186; https://doaj.org/toc/2073-4433

URL الوصول: https://doaj.org/article/f7151007a7aa450687c880ec909c528b

المؤلفون: I Nyoman Kusuma Wardana, Suhaib A. Fahmy, Julian W. Gardner

المصدر: Proceedings, Vol 97, Iss 1, p 163 (2024)

مصطلحات موضوعية: tinyML, meta-learning, microcontrollers, air pollutant prediction, General Works

Relation: https://www.mdpi.com/2504-3900/97/1/163; https://doaj.org/toc/2504-3900; https://doaj.org/article/ec5b58ce099142128c02f0bca9411be8

الاتاحة: https://doi.org/10.3390/proceedings2024097163
https://doaj.org/article/ec5b58ce099142128c02f0bca9411be8

المؤلفون: Naz, Fareena, Fahim, Muhammad, Cheema, Adnan Ahmad, Viet, Nguyen Trung, Cao, Tuan-Vu, Duong, Trung Q.

المصدر: Naz , F , Fahim , M , Cheema , A A , Viet , N T , Cao , T-V & Duong , T Q 2024 , Features inspired PM2.5 prediction: a Belfast city case study . in 10th EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2024): proceedings . Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , vol. 595 , Springer , pp. 204–212 , 10th EAI International Conference on Industrial Networks and Intelligent Systems 2024 , Da Nang , Viet Nam , 20/02/2024 . https://doi.org/10.1007/978-3-031-67357-3_15

مصطلحات موضوعية: feature generation, signal decomposition, PM2.5, machine learning, forecasting models, long short term memory (LSTM), air pollutant prediction, air quality, health, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, name=SDG 3 - Good Health and Well-being, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, name=SDG 7 - Affordable and Clean Energy, /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities, name=SDG 11 - Sustainable Cities and Communities

وصف الملف: application/pdf

Relation: urn:ISBN:9783031673566

الاتاحة: https://pure.qub.ac.uk/en/publications/6ac36448-b293-4bbe-ac21-0a9bcf8bb4cc
https://doi.org/10.1007/978-3-031-67357-3_15
https://pureadmin.qub.ac.uk/ws/files/556612589/Features_Inspired_PM2_5_Prediction_A_Belfast_City_Case_Study_Paper.pdf

المؤلفون: Liu, H, Lu, G, Wang, Y, Kasabov, N

مصطلحات موضوعية: Air pollutant prediction, PM2.5 hourly concentration, Seasonality, Evolving spiking neural networks, Time series clustering

وصف الملف: application/pdf

Relation: https://aaqr.org/articles/aaqr-20-05-oa-0247; Aerosol and Air Quality Research 21, 200247. https://doi.org/10.4209/aaqr.2020.05.0247; https://hdl.handle.net/10292/14879

الاتاحة: https://hdl.handle.net/10292/14879
https://doi.org/10.4209/aaqr.2020.05.0247

المؤلفون: Dixian Zhu, Changjie Cai, Tianbao Yang, Xun Zhou

المصدر: Big Data and Cognitive Computing; Volume 2; Issue 1; Pages: 5

مصطلحات موضوعية: air pollutant prediction, multi-task learning, regularization, analytical solution

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/bdcc2010005

الاتاحة: https://doi.org/10.3390/bdcc2010005

المؤلفون: Dixian Zhu, Changjie Cai, Xun Zhou, Tianbao Yang

المصدر: Big Data and Cognitive Computing, Vol 2, Iss 1, p 5 (2018)
Big Data and Cognitive Computing; Volume 2; Issue 1; Pages: 5

مصطلحات موضوعية: air pollutant prediction, multi-task learning, regularization, analytical solution, Computer science, Big data, Matrix norm, Multi-task learning, Machine learning, computer.software_genre, lcsh:Technology, Regularization (mathematics), Management Information Systems, Artificial Intelligence, information_technology_data_management, Air quality index, Basis (linear algebra), lcsh:T, business.industry, Regression analysis, Computer Science Applications, Nonlinear system, Norm (mathematics), Artificial intelligence, business, computer, Predictive modelling, Information Systems

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1ddd0da66add4362f71967e005da9ec
https://doi.org/10.20944/preprints201712.0197.v1