Analyzing marketing campaign effectiveness: a comparative approach using traditional and online data analysis methods

Autor: Krzysztof Król, Tomasz Sidor, Anna Wiśniewska, Emanuel Józefacki, Bartłomiej Bartnik

Publikováno v: Journal of Modern Science, Vol 57, Iss 3, Pp 402-416 (2024)

Advertising campaign analysis reports are considered an essential tool for marketing analytics. They are used to assess the effectiveness of the marketing activities carried out and to improve future activities. It is necessary to verify whether the

Externí odkaz: https://doaj.org/article/0187dbca06214f42b5759f13b3fe4362

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

Autor: Amir Mosavi, Afshin Shoeibi, Roohallah Alizadehsani, Saeid Nahavandi, Jirí Jaromír Klemeš, Juan Manuel Górriz, Abbas Khosravi, Hossein Moosaei, Abdoulmohammad Gholamzadeh Chofreh, Danial Sharifrazi, Feybi Ariani Goni, Nooshin Ayoobi

Publikováno v: Results in Physics, Vol 27, Iss, Pp 104495-(2021)
Results in Physics
Digibug. Repositorio Institucional de la Universidad de Granada
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Several researchers benefited from the EU supported project Sus-tainable Process Integration Laboratory - SPIL funded as project No. CZ.02.1.01/0.0/0.0/15_003/0000456, by Czech Republic Operational Programme Research and Development, Education, Prior

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dba63eeff5e6cf758b6c893826c1ea93
http://www.sciencedirect.com/science/article/pii/S2211379721006069

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Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.

Autor: Ayoobi N; Department of Mathematics, Savitribai Phule Pune University, Pune 411007, India., Sharifrazi D; Department of Computer Engineering, School of Technical and Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran., Alizadehsani R; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC 3217, Australia., Shoeibi A; Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran.; Faculty of Electrical and Computer Engineering, Biomedical Data Acquisition Lab, K. N. Toosi University of Technology, Tehran, Iran., Gorriz JM; Department of Signal Theory, Networking and Communications, Universidad de Granada, Spain., Moosaei H; Department of Mathematics, Faculty of Science, University of Bojnord, Iran., Khosravi A; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC 3217, Australia., Nahavandi S; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC 3217, Australia., Gholamzadeh Chofreh A; Sustainable Process Integration Laboratory - SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology - VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic., Goni FA; Department of Management, Faculty of Business and Management, Brno University of Technology - VUT Brno, Kolejní 2906/4, 612 00 Brno, Czech Republic., Klemeš JJ; Sustainable Process Integration Laboratory - SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology - VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic., Mosavi A; John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary.; School of Economics and Business, Norwegian University of Life Sciences, 1430 Ås, Norway.

Publikováno v: Results in physics [Results Phys] 2021 Aug; Vol. 27, pp. 104495. Date of Electronic Publication: 2021 Jun 26.