Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Mznah Al Rodhaan"'
Autor:
Yuan Tian, Biao Song, Mznah Al Rodhaan, Chen Rong Huang, Mohammed A. Al-Dhelaan, Abdullah Al-Dhelaan, Najla Al-Nabhan
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 3, Pp 2636-2649 (2020)
Location-based Service has become the fastest growing activity related service that people use in their daily life due to the boom of location-aware mobile devices. In edge computing along with the benefits brought by LBS, privacy preservation become
Externí odkaz:
https://doaj.org/article/d21073fc8b6e416399246645faa31b2f
Akademický článek
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Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:1021-1037
Crowdsourcing is a hotspot research field which can facilitate machine learning by collecting labels to train models. Consequently, the state-of-the-art research efforts in crowdsourcing focus on truth inference or label integration, to remove incons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7212bab6d1d123ff38bdc72b3eb258bd
https://doi.org/10.1109/tkde.2020.2993272
https://doi.org/10.1109/tkde.2020.2993272
Publikováno v:
IEEE Transactions on Affective Computing. 13:60-74
Nowadays, mining opinion or sentiment from the online user-generated texts has become a research hot-spot. Although, a large amount of lexicon-based Chinese polarity detection works have been done, yet the existing methods have one common flaw that e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7fd903f2a7197bb27a86e1125e3c579
https://doi.org/10.1109/taffc.2019.2932061
https://doi.org/10.1109/taffc.2019.2932061
Publikováno v:
Security and Communication Networks, Vol 2020 (2020)
Nowadays, user’s privacy is a critical matter in multimedia social networks. However, traditional machine learning anomaly detection techniques that rely on user’s log files and behavioral patterns are not sufficient to preserve it. Hence, the so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e89c5b950c06acb8b483af79c2ff75d2
https://doi.org/10.1155/2020/5874935
https://doi.org/10.1155/2020/5874935
Publikováno v:
Future Generation Computer Systems. 105:533-546
Community detection is one of the hot topics in the complex networks. It aims to find subgraphs that are internally dense but externally sparsely connected. In this paper, a new method is proposed to identify the most influential nodes which are cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5321d13c6a2005269086a2e8937a667f
https://doi.org/10.1016/j.future.2019.12.022
https://doi.org/10.1016/j.future.2019.12.022
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811908514
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8905cf690df4286bc514e416d29b6ba5
https://doi.org/10.1007/978-981-19-0852-1_50
https://doi.org/10.1007/978-981-19-0852-1_50
Publikováno v:
Sensors, Vol 18, Iss 12, p 4346 (2018)
Using Internet of Things (IoT) applications has been a growing trend in the last few years. They have been deployed in several areas of life, including secure and sensitive sectors, such as the military and health. In these sectors, sensory data is t
Externí odkaz:
https://doaj.org/article/7f3bcf8b3e4a4d8a9bda4f962a906440
Publikováno v:
The 23rd International Conference on Information Integration and Web Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bca5ce096010feb0074129e5710db523
https://doi.org/10.1145/3487664.3487735
https://doi.org/10.1145/3487664.3487735
Publikováno v:
Information Sciences. 488:158-180
Nowadays, the amount of user-generated contents (UGCs) or texts has surged exponentially. Therefore, recognizing emotions from these texts can bring about lots of advantages. In this paper, we have proposed a novel model named Deep Rolling to predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0616a5a86ffbea97a31a18bd1f98f08a
https://doi.org/10.1016/j.ins.2019.03.023
https://doi.org/10.1016/j.ins.2019.03.023