Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nazanin Asadi"'
Publikováno v:
مجله علوم روانشناختی, Vol 19, Iss 89, Pp 541-551 (2020)
Background: Internet addiction can cause psychological damage. Various variables can contribute to internet addiction, such as quality of life, life satisfaction, and stress coping strategies. The research question is whether stress coping strategies
Externí odkaz:
https://doaj.org/article/46658b5f1a444babaa606d75b36aa905
Publikováno v:
Iranian Journal of Finance, Vol 3, Iss 1, Pp 73-89 (2019)
Networks are useful tools for presenting the relationships between financial institutions. During the previous years, many scholars have found that using single-layer networks cannot properly characterize and explain complex systems. The purpose of t
Externí odkaz:
https://doaj.org/article/7b5af61f00e0494e9442fa18395c52c8
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 71, Iss 1 (2019)
Accurate estimates of sharp features in the sea ice cover, such as leads and ridges, are critical for shipping activities, ice operations and weather forecasting. These sharp features can be difficult to preserve in data fusion and data assimilation
Externí odkaz:
https://doaj.org/article/bbb79a51d78b4ac790aa1a0d03da356e
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:247-259
Synthetic aperture radar (SAR) sea ice imagery is a promising source of data for sea ice data assimilation. Classification of SAR sea ice imagery into ice and water is of particular relevance due to its relationship with ice concentration, a key vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a02ee6a7dc7298e41bd712fb5822e5e1
https://doi.org/10.1109/tgrs.2020.2992454
https://doi.org/10.1109/tgrs.2020.2992454
Autor:
Faramarz Sohrabi, Nahid Hoseininezhad, Nazanin Asadi, Hanieh Rezaeifar, Peyman Mamsharifi, Pegah A.M. Seidi, Ahmad Borjali
Background: Considering Voluntary Function (VF), the purpose of the present study was to prognosticate the addiction potential (AP) among some members of the Iranian Red Crescent Society (IRCS) in Iran. To get the research done, we made use of both c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30a3134cb01cbd5b43f8030cc917fde4
https://doi.org/10.21203/rs.3.rs-143002/v1
https://doi.org/10.21203/rs.3.rs-143002/v1
Value-at-risk (VaR) is a crucial subject that researchers and practitioners extensively use to measure and manage uncertainty in financial markets. Although VaR is a standard risk control instrument, there are criticisms about its performance. One of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1717993d62279dd24e3530d7468cfbff
http://arxiv.org/abs/2005.09036
http://arxiv.org/abs/2005.09036
Publikováno v:
IEEE Transactions on Cybernetics. 46:2899-2910
Classification of temporal data sequences is a fundamental branch of machine learning with a broad range of real world applications. Since the dimensionality of temporal data is significantly larger than static data, and its modeling and interpreting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e43a8520069f4d114cc3eaa6801a9f6
https://doi.org/10.1109/tcyb.2015.2492920
https://doi.org/10.1109/tcyb.2015.2492920
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 71, Iss 1 (2019)
Accurate estimates of sharp features in the sea ice cover, such as leads and ridges, are critical for shipping activities, ice operations and weather forecasting. These sharp features can be difficult to preserve in data fusion and data assimilation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8bc18b9454d38104e0d2b46384750fa
https://doi.org/10.1080/16000870.2018.1564487
https://doi.org/10.1080/16000870.2018.1564487
Publikováno v:
IEEE Transactions on Signal Processing. 61:5767-5776
Hidden Markov Model (HMM) is a widespread statistical model used in cases where the system involves not fully observable data sequences such as temporal pattern recognition and signal processing. The most difficult problem in dealing with HMMs is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4568eb6d81d65e06d04bb0a37571e4c1
https://doi.org/10.1109/tsp.2013.2280179
https://doi.org/10.1109/tsp.2013.2280179