Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Kariluoto, Antti"'
A common assumption exists according to which machine learning models improve their performance when they have more data to learn from. In this study, the authors wished to clarify the dilemma by performing an empirical experiment utilizing novel voc
Externí odkaz:
http://arxiv.org/abs/2112.09400
Autor:
Ovaska, Mikael, Kultanen, Joni, Autto, Teemu, Uusnäkki, Joonas, Kariluoto, Antti, Himmanen, Joonas, Virtaneva, Mikko, Kaitila, Pasi, Abrahamsson, Pekka
Sociometric badges are an emerging technology for study how teams interact in physical places. Audio data recorded by sociometric badges is often downsampled to not record discussions of the sociometric badges holders. To gain more information about
Externí odkaz:
http://arxiv.org/abs/2108.05553
Autor:
Virtaneva, Mikko, Feshchenko, Polina, Hossain, Abrar, Kariluoto, Antti, Himmanen, Joonas, Kaitila, Pasi, Kultanen, Joni, Kemell, Kai-Kristian, Abrahamsson, Pekka
Due to COVID-19, companies were forced to adopt new work processes, and reduce modern work environments such as collaboration spaces. Professionals from many fields were forced to work remotely, almost overnight. Little is known about the impact of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::81c15b683a1e7d3a3040b6c9ba26802a
http://urn.fi/URN:NBN:fi:jyu-202109234961
http://urn.fi/URN:NBN:fi:jyu-202109234961
Deficiency of correctly implemented and robust defence leaves Internet of Things devices vulnerable to cyber threats, such as adversarial attacks. A perpetrator can utilize adversarial examples when attacking Machine Learning models used in a cloud d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::65a48904e733e5ce5c185324a5d0cb2d
http://urn.fi/URN:NBN:fi:jyu-202102121545
http://urn.fi/URN:NBN:fi:jyu-202102121545
IoT sensors and sensor networks are widely employed in businesses. The common problem is a remarkable number of IoT device transactions are unencrypted. Lack of correctly implemented and robust defense leaves the organization's IoT devices vulnerable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::2e0d0c68b031fd6c6d5437d2b9f96ab0
http://urn.fi/URN:NBN:fi:jyu-202111305833
http://urn.fi/URN:NBN:fi:jyu-202111305833
Tämän raportin tarkoituksena on tarkastella tekoälyn hyödyntämistä rakennusten ennakoivassa kunnossapidossa. Raportissa esitellään KIRA-digi –hanke ja kuvataan Jyväskylän yliopiston KIRA-digi –pilottihanke. Raportin alussa on tekoälyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::8180266c48793b3178fa80f7d173b1b7
http://urn.fi/URN:ISBN:978-951-39-7730-6
http://urn.fi/URN:ISBN:978-951-39-7730-6
Publikováno v:
Proceedings of the International Conference on Cyber Warfare & Security; 2021, p382-390, 9p
Publikováno v:
Proceedings of the International Conference on Cyber Warfare & Security; 2021, p373-381, 9p
Publikováno v:
ECIAIR Proceedings of the European Conference on the Impact of Artificial Intelligence & Robotics; Oct2020, p169-177, 9p
Publikováno v:
Proceedings of the European Conference on Cyber Warfare & Security; 2020, p371-379, 9p, 1 Diagram