Zobrazeno 1 - 10
of 5 569
pro vyhledávání: '"Contextual information"'
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-15 (2024)
Abstract Deep learning-based inpainting models have achieved success in restoring natural images, yet their application to ancient paintings encounters challenges due to the loss of texture, lines, and color. To address these issues, we introduce an
Externí odkaz:
https://doaj.org/article/ec381da9c99b4cb2ae5bca4af1c02b40
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTWith recent technological advances, the efficient extraction and utilization of valuable information from large-scale data sources have become increasingly important. The development of knowledge graphs (KGs) based on logical relationships be
Externí odkaz:
https://doaj.org/article/98a9828982514a10ab3fea3ec763e63d
Autor:
Xueping Han, Xueyong Wang
Publikováno v:
Electronic Research Archive, Vol 32, Iss 5, Pp 3618-3634 (2024)
This paper focused on the point-of-interest (POI) recommendation task. Recently, graph representation learning-based POI recommendation models have gained significant attention due to the powerful modeling capacity of graph structural data. Despite t
Externí odkaz:
https://doaj.org/article/4dbca49b361b48b6ad9f05c42576c859
Publikováno v:
Cognitive Research, Vol 9, Iss 1, Pp 1-16 (2024)
Abstract In sport, coaches often explicitly provide athletes with stable contextual information related to opponent action preferences to enhance anticipation performance. This information can be dependent on, or independent of, dynamic contextual in
Externí odkaz:
https://doaj.org/article/49392a821d7749e2bd1b75bf98d950d6
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100523- (2024)
With the increase of traffic flow in modern urban areas, traffic congestion has become a serious problem that affects people’s normal production and life. Using target detection technology instead of manual labor can quickly detect the road traffic
Externí odkaz:
https://doaj.org/article/383408400ef24d95a87c894467614ece
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19986-19997 (2024)
Deep learning methods have achieved great success in the field of remote sensing image segmentation in recent years, but building a lightweight segmentation model with comprehensive local and global feature extraction capabilities remains a challengi
Externí odkaz:
https://doaj.org/article/a6ee27e6e8c74ef7b563ee1057dcb251
Autor:
Driss El Alaoui, Jamal Riffi, Abdelouahed Sabri, Badraddine Aghoutane, Ali Yahyaouy, Hamid Tairi
Publikováno v:
IEEE Access, Vol 12, Pp 151019-151029 (2024)
Recommender systems have witnessed a great shift in leveraging contextual information as an auxiliary resource to improve the quality of the recommendations. These recommendation problems are addressed as link prediction tasks within bipartite graphs
Externí odkaz:
https://doaj.org/article/09ebcdba3e2b4ac79751353c1518b4a5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16206-16221 (2024)
Land use classification of high-precision satellite images using semantic segmentation methods has become mainstream. In this field, global context information plays an irreplaceable role. However, most current methods struggle to effectively utilize
Externí odkaz:
https://doaj.org/article/7fd3d09ef7f544499a4cb9e0a32e2a69
Autor:
Yan Chen, Qianchuan Zhang, Xiaofeng Wang, Quan Dong, Menglei Kang, Wenxiang Jiang, Mengyuan Wang, Lixiang Xu, Chen Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14640-14655 (2024)
Contextual information can effectively aid deep-learning models in extracting interclass and intraclass difference features in remote sensing images. This article presents a novel approach called the adaptive attention network (AANet) for semantic se
Externí odkaz:
https://doaj.org/article/81904a11446d4486a384d5dd9369e539
Publikováno v:
Electronic Research Archive, Vol 32, Iss 1, Pp 486-504 (2024)
The recommendation of the next Point of Interest (POI) has attracted significant attention within the domain of POI recommendations in recent years. Existing methods for next POI recommendation are built on the original check-in sequences of users. D
Externí odkaz:
https://doaj.org/article/90d934c6a8bb49fda533cf4ffa92f657