Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Yanjie Fu"'
Publikováno v:
Contributions to Mathematics, Vol 8, Pp 48-55 (2023)
Externí odkaz:
https://doaj.org/article/e58afa711b0343ee8c4178113b51c478
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Environmental sensors are essential for tracking weather conditions and changing trends, thus preventing adverse effects on species and environment. Missing values are inevitable in sensor recordings due to equipment malfunctions and measurement erro
Externí odkaz:
https://doaj.org/article/6614c701c82a4ff28ef04b54e9356631
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
An accurate crime prediction and risk estimation can help improve the efficiency and effectiveness of policing activities. However, reports have revealed that biases like racial prejudice could exist in policing enforcement, and trained predictors ma
Externí odkaz:
https://doaj.org/article/276b831788b747ab8623b025217025f2
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Automated characterization of spatial data is a kind of critical geographical intelligence. As an emerging technique for characterization, spatial Representation Learning (SRL) uses deep neural networks (DNNs) to learn non-linear embedded features of
Externí odkaz:
https://doaj.org/article/40a299de02404c709d8b65adaea5aaa7
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
The pervasiveness of mobile and sensing technologies today has facilitated the creation of Big Crowdsourced Geotagged Data (BCGD) from individual users in real time and at different locations in the city. Such ubiquitous user-generated data allow us
Externí odkaz:
https://doaj.org/article/294eb93baebd429db0c15a765c6097a3
Publikováno v:
IEEE Access, Vol 7, Pp 95122-95131 (2019)
Edge computing recently is increasingly popular due to the growth of data size and the need of sensing with the reduced center. Based on Edge computing architecture, we propose a novel crowdsensing framework called Edge-Mediated Spatial-Temporal Crow
Externí odkaz:
https://doaj.org/article/aee36788b79940f9b97b29a6d5f6c5f5
Publikováno v:
Mathematics, Vol 9, Iss 15, p 1767 (2021)
Network representation learning aims to learn low-dimensional, compressible, and distributed representational vectors of nodes in networks. Due to the expensive costs of obtaining label information of nodes in networks, many unsupervised network repr
Externí odkaz:
https://doaj.org/article/258b7f4062d24818861770a771ad667c
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 14:1-25
Every day, our living city produces a tremendous amount of spatial-temporal data, involved with multiple sources from the individual scale to the city scale. Undoubtedly, such massive urban data can be explored for a better city and better life, as w
Publikováno v:
ACM Transactions on Sensor Networks. 19:1-22
This paper presents GeoDMA , which processes the GPS data from multiple vehicles to detect anomalous driving maneuvers, such as rapid acceleration, sudden braking, and rapid swerving. First, an unsupervised deep auto-encoder is designed to learn a se
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 14:1-20
In this article, we study knowledge concept recommendation in Massive Open Online Courses (MOOCs) in an explainable manner. Knowledge concepts, composing course units (e.g., videos) in MOOCs, refer to topics and skills that students are expected to m