Maryam Alavi - Profile and Journalist Details
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Maryam Alavi
Verified
Chair Professor of ITM, Georgia Tech Scheller College of Business
Atlanta
Beats
social events and such issues etc.
Content
A Hierarchical Model to Predict Time of Flowering of Kiwifruit Using Weather Data and Budbreak Dynamics
By Jingjing Zhang, Maryam Alavi, Annette Richardson, Lindy Guo| MDPI@ All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
By Maryam Alavi| hbritalia.it@ C’È UNA DIFFUSA ASPETTATIVA che l’implementazione di strumenti di IA generativa (GenIA) nuovi ed emergenti aumenti l’efficacia e la competitività delle organizzazioni. Questa convinzione è testimoniata dagli investimenti attuali e programmati in strumenti GenIA, soprattutto da parte di aziende che operano in settori ad alta intensità di conoscenza come la finanza, la sanità e l’intrattenimento, tra gli altri.
A Hierarchical Model to Predict Time of Flowering of Kiwifruit Using Weather Data and Budbreak Dynamics
By Jingjing Zhang, Maryam Alavi, Annette Richardson, Lindy Guo| MDPI@ All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Company Info