J Belter, M Hering, P Weichbroth - Applied Sciences, 2023 - mdpi.com
Background: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems to be …
Identifying opinion leaders in social networks, particularly in social media, is a crucial marketing strategy. These individuals have a considerable influence on the purchasing …
A Zhang, W Shi, Z Liu, X Zhou - International Journal of …, 2024 - Taylor & Francis
Interesting sequential patterns in human movement trajectories can provide valuable knowledge for urban management, planning, and location-based business. Existing …
J Liu, J Li, L Qiao, M Li, E Stefanakis, X Zhao… - Transactions in …, 2024 - Wiley Online Library
Measuring trajectory similarity is a fundamental algorithm in trajectory data mining, playing a key role in trajectory clustering, pattern mining, and classification, for instance. However …
W Wang, J Li, J Jiang, B Wang, Q Wang, E Gao, T Yue - Symmetry, 2024 - mdpi.com
The effective association of multimodal data is the basis of massive multi-source heterogeneous data sharing in the era of big data. How to realize data autonomous …
Advancements in tracking technologies like GPS, RFID and mobile devices have made trajectory data collection widespread. This surge in tracking device usage and location …
This paper provides a review and comparative analysis of trajectory outlier detection methods. It presents the definition of outliers in trajectory data and the existing types to …
Z Li - Journal of Electrical Systems, 2024 - search.proquest.com
Sports tourism, characterized by the fusion of sports activities and travel experiences, has gained significant popularity in recent years. Efficiently planning and personalizing sports …
This review examines the implementation of AI-powered data warehouse solutions to optimize big data management and utilization, analyzing 25 peer-reviewed articles …