Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Adnan Yazici"'
Autor:
Min-Ho Lee, Adai Shomanov, Balgyn Begim, Zhuldyz Kabidenova, Aruna Nyssanbay, Adnan Yazici, Seong-Whan Lee
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Understanding emotional states is pivotal for the development of next-generation human-machine interfaces. Human behaviors in social interactions have resulted in psycho-physiological processes influenced by perceptual inputs. Therefore, eff
Externí odkaz:
https://doaj.org/article/f027e050acb742c88713ccf45f0cb115
Publikováno v:
Wearable Technologies, Vol 5 (2024)
Body-worn sensor data is used in monitoring patient activity during rehabilitation and also can be extended to controlling rehabilitation devices based on the activity of the person. The primary focus of research has been on effectively capturing the
Externí odkaz:
https://doaj.org/article/610f5c56fdc84addb6fb187c51ee438b
Publikováno v:
IEEE Access, Vol 8, Pp 163937-163952 (2020)
It is of great importance to extract and validate an optimal subset of non-dominated features for effective multi-label classification. However, deciding on the best subset of features is an NP-Hard problem and plays a key role in improving the predi
Externí odkaz:
https://doaj.org/article/c7b146a0593142718be004a5845cf21b
Autor:
Cihan Kucukkececi, Adnan Yazici
Publikováno v:
IEEE Access, Vol 7, Pp 67818-67832 (2019)
Wireless Multimedia Sensor Networks (WMSN), for object tracking, have been used as an emerging technology in different application areas, such as health care, surveillance, and traffic control. In surveillance applications, sensor nodes produce data
Externí odkaz:
https://doaj.org/article/2e622d00d5364c819e0fba954e35bf90
Publikováno v:
IEEE Access, Vol 7, Pp 88418-88434 (2019)
Multimedia sensors enable monitoring applications to obtain more accurate and detailed information. However, the development of efficient and lightweight solutions for managing data traffic over wireless multimedia sensor networks (WMSNs) has become
Externí odkaz:
https://doaj.org/article/e246535386e947b2b53589798339c722
Autor:
Serdar Arslan, Adnan Yazici
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:251-282
The semantic query problem is commonly called the semantic gap and is one of the significant problems in multimedia data retrieval. In this study, we focus on multimedia data retrieval by combining semantic information with data content to solve the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2d9b63236b217d35918814f58589957
https://doi.org/10.3233/jifs-220673
https://doi.org/10.3233/jifs-220673
Publikováno v:
Neural Processing Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16491672ce9e829160fcd1846406e366
https://doi.org/10.1007/s11063-023-11246-9
https://doi.org/10.1007/s11063-023-11246-9
An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-21
With improvements in the area of Internet of Things (IoT), surveillance systems have recently become more accessible. At the same time, optimizing the energy requirements of smart sensors, especially for data transmission, has always been very import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a17c317d7c6557851aaf6135a575387
https://doi.org/10.1145/3473037
https://doi.org/10.1145/3473037
This study proposes a new two-stage gender-diûerentiated deep 1D Convolutional Neural Network (1D-CNN) for the well-known Speech Emotion Recognition (SER) problem. A novel infrastructure for extracting Mel Frequency Cepstral Coeûcients (MFCC), Chro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c27e5404df20e264206b424bb8d372d5
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b2672e9ea08b5c2108b02de0dd927b5
https://doi.org/10.1109/smc53654.2022.9945157
https://doi.org/10.1109/smc53654.2022.9945157