Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Tet Hin Yeap"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages. As a result, users often find it challenging to discover
Externí odkaz:
https://doaj.org/article/9289d48ee986485382aba193384a3671
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:4377-4389
In this paper, we use a recently developed dynamic model for urban traffic flow subject to practical constraint characteristics of intersections equipped with traffic light. We define an objective functional based on the analytical expressions for tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a68680a0d3dd024a0f8c3d19813d21b
https://doi.org/10.1109/tits.2018.2884463
https://doi.org/10.1109/tits.2018.2884463
Publikováno v:
ANT/EDI40
In recent years, the Internet of Things (IoT) and big data have been hot topics. With all this data being produced, new applications such as predictive maintenance are possible. Consensus self-organized models approach (COSMO) is an example of a pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74de911a49a8897ce76dd36ac55f1c89
https://doi.org/10.1016/j.procs.2019.04.184
https://doi.org/10.1016/j.procs.2019.04.184
Publikováno v:
ICSIM
With the growth of social media and online network sites, a large number of textual data are continuously generated every day, however, it is a challenging subject to detect, describe and analyze those unstructured and semi-structured textual data si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6a262861eb382208092decf81b4cce
https://doi.org/10.1145/3451471.3451495
https://doi.org/10.1145/3451471.3451495
Publikováno v:
IJCNN
Identifying anomalous samples from highly complex and unstructured data is a crucial but challenging task in a variety of intelligent systems. In this paper, we present a novel deep anomaly detection framework named AnoDM (standing for Anomaly detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47d23c0bb57ba067bcacd0ac8eb475c7
https://doi.org/10.1109/ijcnn48605.2020.9207046
https://doi.org/10.1109/ijcnn48605.2020.9207046
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Frontiers in Artificial Intelligence
Frontiers in Artificial Intelligence
With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages. As a result, users often find it challenging to discover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08b6f78d603583a202a1514914336760
https://www.frontiersin.org/article/10.3389/frai.2020.00042/full
https://www.frontiersin.org/article/10.3389/frai.2020.00042/full
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783030473570
Canadian Conference on AI
Canadian Conference on AI
In this paper, we develop and explore deep anomaly detection techniques based on capsule network (named AnoCapsNet) for image data. Being able to encode intrinsic spatial relationship between parts and a whole, CapsNet has been applied as both a clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dca533412371fccda475fb9466cba27
https://doi.org/10.1007/978-3-030-47358-7_39
https://doi.org/10.1007/978-3-030-47358-7_39
Publikováno v:
MEDES
Recent research has investigated approaches and models to produce optimal results in social recommendation systems (SRSs) particularly in text-based form. The aim is to analyze the user generated-content (UGC) to suggest appropriate recommendations t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d56908056a45c854ed114f56077617b7
https://doi.org/10.1145/3297662.3365789
https://doi.org/10.1145/3297662.3365789
Publikováno v:
ROSE
Herewith the efficiency of various configurations of employing Kalman filter algorithm for on-the-fly pre-processing of the sensory network originated data streams in the Internet of Things (IoT) systems is investigated. Contextual grouping of the da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c164c8b1d739db83458b94ad6e33a1c
https://doi.org/10.1109/rose.2019.8790427
https://doi.org/10.1109/rose.2019.8790427
Publikováno v:
IEEE Transactions on Power Electronics. 29:2109-2123
High-cost isolators and their speed limits are the shortcomings of digital control in isolated power supplies. Different feedback schemes result in different numbers and speed requirements of the isolators, which impact the cost and the decision maki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::152573794d476c1ff50c2a37055cfd80
https://doi.org/10.1109/tpel.2013.2271315
https://doi.org/10.1109/tpel.2013.2271315