Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Du Q. Huynh"'
Publikováno v:
IEEE Access, Vol 8, Pp 44576-44589 (2020)
Pedestrian trajectory prediction is fundamental to a wide range of scientific research work and industrial applications. Most of the current advanced trajectory prediction methods incorporate context information such as pedestrian neighbourhood, labe
Externí odkaz:
https://doaj.org/article/03cb37959ef443c4851e1cc55c90ef3c
Publikováno v:
Future Internet, Vol 13, Iss 5, p 129 (2021)
Hashtag recommendation suggests hashtags to users while they write microblogs in social media platforms. Although researchers have investigated various methods and factors that affect the performance of hashtag recommendations in Twitter and Sina Wei
Externí odkaz:
https://doaj.org/article/adaddb2df80544a2a873664cb476edb4
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:7547-7560
Cameras have been widely used in traffic operations. While many technologically smart camera solutions in the market can be integrated into Intelligent Transport Systems (ITS) for automated detection, monitoring and data generation, many Network Oper
Publikováno v:
IEEE Transactions on Computational Social Systems. 7:971-982
Personalized recommendation automatically predicts the top- $y$ hashtags to a given tweet. Most research in the literature of hashtag recommendation focused on the content of the posts such as words and topics. Although these methods have measured th
Estimating physical activity energy expenditure with the Kinect Sensor in an exergaming environment.
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0127113 (2015)
Active video games that require physical exertion during game play have been shown to confer health benefits. Typically, energy expended during game play is measured using devices attached to players, such as accelerometers, or portable gas analyzers
Externí odkaz:
https://doaj.org/article/1e261a55f87849d29ce1f95bd675f03d
Publikováno v:
Journal of Computing in Higher Education. 32:9-26
Both educational data mining and learning analytics aim to understand learners and optimise learning processes of educational settings like Moodle, a learning management system (LMS). Analytics in an LMS covers many different aspects: finding student
Publikováno v:
IEEE Transactions on Learning Technologies. 12:171-183
A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context, for example, the cou
Publikováno v:
IEEE transactions on neural networks and learning systems. 32(1)
Pedestrian path prediction is a very challenging problem because scenes are often crowded or contain obstacles. Existing state-of-the-art long short-term memory (LSTM)-based prediction methods have been mainly focused on analyzing the influence of ot
Publikováno v:
2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS).
With the development of AIoT, Smart City Traffic Management System based on artificial intelligence and big data has gradually become an effective urban management system. Instead of raw data from sensors and cameras, some specific information, such
Publikováno v:
Neural Information Processing ISBN: 9783030638290
ICONIP (1)
ICONIP (1)
Pedestrian trajectory prediction is a challenging task as there are three properties of human movement behaviors which need to be addressed, namely, the social influence from other pedestrians, the scene constraints, and the multimodal (multi-route)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e14024efbce82fa6725dcee2940c0c3
https://doi.org/10.1007/978-3-030-63830-6_46
https://doi.org/10.1007/978-3-030-63830-6_46