Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Andrei A. Damian"'
Autor:
Hengqian Yi, Efe Ozturk, Marco Koelink, Jana Krimmling, Andrei A. Damian, Wojciech Debski, H. W. van Zeijl, Guoqi Zhang, Rene H. Poelma
Publikováno v:
IEEE Transactions on Components, Packaging and Manufacturing Technology. 12:893-901
High-performance IC-to-antenna interconnection is one of the key enablers for the mass production of high-end millimeter wave (mmW) radar systems above 100 GHz. In this work, a radar system with an on-package antenna array working at 122 GHz is prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9eaf339882464385d988003f4f9b3a9
https://doi.org/10.1109/tcpmt.2022.3172618
https://doi.org/10.1109/tcpmt.2022.3172618
Publikováno v:
CSCS
In retail vertical industries, businesses are dealing with human limitation of quickly understanding and adapting to new purchasing behaviors. Moreover, retail businesses need to overcome the human limitation of properly managing a massive selection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::758cb8f5d80019458f06ba999ebccf9b
https://doi.org/10.1109/cscs52396.2021.00024
https://doi.org/10.1109/cscs52396.2021.00024
Publikováno v:
2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet).
Training deep neural networks requires knowledge and ample experimental time, as well as computational resources due to the search process of the architectural design. In this work, we review the current main research directions in the area of networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::608df61570f00303d0fe6226e6732585
https://doi.org/10.1109/roedunet51892.2020.9324853
https://doi.org/10.1109/roedunet51892.2020.9324853
Publikováno v:
ITQM
Today, more and more, it is necessary that most applications and documents developed in previous or current technologies to be accessible online on cloud-based infrastructures. That is why the migration of legacy systems including their hosts of docu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4497dd3ec264b32348fef92cd64070fc
http://arxiv.org/abs/1911.01346
http://arxiv.org/abs/1911.01346
Publikováno v:
CSCS
Product recommender systems and customer profiling techniques have always been a priority in online retail. Recent machine learning research advances and also wide availability of massive parallel numerical computing has enabled various approaches an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d55d966ba2fd6b4dacd0debf6e3656d
Autor:
Andrei Ionut Damian, Laurentiu Piciu, Nicolae Tapus, Andrei Simion-Constantinescu, Bogdan Dumitrescu
Publikováno v:
2018 17th RoEduNet Conference: Networking in Education and Research (RoEduNet).
Predictive analytics systems are currently one of the most important areas of research and development within the Artificial Intelligence domain and particularly in Machine Learning. One of the "holy grails" of predictive analytics is the research an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856345ce9acdcbe9f02f01c6764364ee
https://doi.org/10.1109/roedunet.2018.8514141
https://doi.org/10.1109/roedunet.2018.8514141
Autor:
Laurentiu-Gheorghe Piciu, Bogdan Dumitrescu, Andrei Simion-Constantinescu, Alexru Purdila, Nicolae Tapus, Andrei Ionut Damian
Publikováno v:
2018 17th RoEduNet Conference: Networking in Education and Research (RoEduNet).
Customer churn is an essential retail metric used in business predictive analytics systems to quantify the number of customers who left a company. All retail and business to consumer companies carefully analyze customer behavior to prevent them to ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02ebd9d20a7c7c473a6d6179d9eafb82
https://doi.org/10.1109/roedunet.2018.8514153
https://doi.org/10.1109/roedunet.2018.8514153
Publikováno v:
ICCP
The need for systems capable of conducting inferential analysis and predictive analytics is ubiquitous in a global information society. With the recent advances in the areas of predictive machine learning models and massive parallel computing a new s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ecdf3f130441b20202c1cad1a5efb36
https://doi.org/10.1109/iccp.2017.8116994
https://doi.org/10.1109/iccp.2017.8116994
Autor:
Nicolae Tapus, Andrei Ionut Damian
Publikováno v:
CSCS
On-demand computing, Software-as-a-Service, Platform-as-a-Service, and in general Cloud Computing is currently the main approach by which both academic and commercial domains are delivering systems and content. Nevertheless there still remains a huge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f882bb96cf9f3d682c69ffaabde34a3
https://doi.org/10.1109/cscs.2017.88
https://doi.org/10.1109/cscs.2017.88
Autor:
Andrei Ionut Damian
Publikováno v:
Romanian Economic Journal. 16(47):165-176
This article analyzes the paradigm of Cloud Computing technology adoption in current global business environment in order to optimize expenditures, cash-flows and revenues for various commercial and even non-commercial entities. The subject is treate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::c11ff585d101c399548d8831ba227812
http://www.rejournal.eu/sites/rejournal.versatech.ro/files/articole/2013-03-01/1939/y20damian.pdf
http://www.rejournal.eu/sites/rejournal.versatech.ro/files/articole/2013-03-01/1939/y20damian.pdf