Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Changqin Huang"'
Publikováno v:
IEEE Access, Vol 11, Pp 48410-48420 (2023)
Multimodal sentiment analysis (MSA) is a crucial task in the field of natural language processing (NLP), with a wide range of applications. This paper proposes an adaptive modality-specific weight fusion network (AdaMoW) to address issues in the proc
Externí odkaz:
https://doaj.org/article/37f341907229449aa6dacb3248420622
Publikováno v:
Educational Technology & Society, Vol 24, Iss 3, Pp 210-223 (2021)
Collaborative reflection (co-reflection) plays a vital role in collaborative knowledge construction and behavior shared regulation. Although the mixed effect of online co-reflection was reported in the literature, few studies have comprehensively exa
Externí odkaz:
https://doaj.org/article/f36e6cd6e96f4302857d2bac8030e4c2
Publikováno v:
IEEE Access, Vol 6, Pp 3882-3898 (2018)
Cyber-physical network (CPN) as well as cyber-physical social computing and networking (CPSCN), as the next generation of computing and networking, utilize a wide variety of sensing devices with significant sensing capabilities. However, it face huge
Externí odkaz:
https://doaj.org/article/5d85f1f246a6457692d6c6a903c1d8f9
Publikováno v:
IEEE Access, Vol 6, Pp 21482-21497 (2018)
Vehicular ad-hoc networks, as one of the major components of Internet of Things in smart cities, have enormous idle transportation capability due to the huge number of vehicles. This paper argues that it is feasible to employ a large number of mobile
Externí odkaz:
https://doaj.org/article/38f0c56a30cd426087a01c2219f5ac48
Publikováno v:
IEEE Access, Vol 5, Pp 5539-5555 (2017)
Vehicular social networks, as one type of new future networks, integrate mobile wireless communications and social networks together, and they have attracted a plenty of interest from researchers. This paper argues that vehicular social networks join
Externí odkaz:
https://doaj.org/article/d45c62c304654be8b247efddf791055b
Social-Aware Data Collection Scheme Through Opportunistic Communication in Vehicular Mobile Networks
Publikováno v:
IEEE Access, Vol 4, Pp 6480-6502 (2016)
To enable the intelligent management of Smart City and improve overall social welfare, it is desirable for the status of infrastructures detected and reported by intelligent devices embedded in them to be forwarded to the data centers. Using “SCmul
Externí odkaz:
https://doaj.org/article/0dd05b2baed74dd8968f037213e7d01e
Publikováno v:
IEEE Access, Vol 4, Pp 9251-9272 (2016)
In existing recommendation systems, there exist the issues of “cold start” and “excessively mature recommendation,” which cause the recommendation systems to have weak effectiveness; thus, a trust-based recommendation model with a small recom
Externí odkaz:
https://doaj.org/article/e86bca8b3ed14e24a9b4a3813ae06d34
Publikováno v:
Advances in Multimedia, Vol 2018 (2018)
With the rapidly growing number of images over the Internet, efficient scalable semantic image retrieval becomes increasingly important. This paper presents a novel approach for semantic image retrieval by combining Convolutional Neural Network (CNN)
Externí odkaz:
https://doaj.org/article/f23cd1cd13af48558423db6a964178a8
Publikováno v:
Symmetry, Vol 9, Iss 11, p 269 (2017)
Transferring emergent target tracking data to sinks is a major challenge in the Industrial Internet of Things (IIoT), because inefficient data transmission can cause significant personnel and property loss. For tracking a constantly moving mobile tar
Externí odkaz:
https://doaj.org/article/3d0b0e165ce047c6aee59d1df5b5098d
Publikováno v:
Symmetry, Vol 9, Iss 10, p 221 (2017)
Cloud computing has emerged as today’s most exciting computing paradigm for providing services using a shared framework, which opens a new door for solving the problems of the explosive growth of digital resource demands and their corresponding con
Externí odkaz:
https://doaj.org/article/62178ca803884d97bc2047a56e26ad26