Αποτελέσματα Αναζήτησης
31 Μαρ 2022 · This work offers an extensive overview of location prediction enveloping basic definitions and concepts, data sources, approaches, and applications. In next location prediction, trajectory is represented by a sequence of timestamped geographical locations.
31 Μαρ 2022 · In this manuscript, we have discussed various location prediction approaches, applications, and challenges, and it sheds light on important points regarding future research directions....
8 Οκτ 2022 · Here, we propose a transformer decoder-based neural network to predict the next location an individual will visit based on historical locations, time, and travel modes, which are behaviour...
1 Σεπ 2023 · In this study, we propose a GEMA-BiLSTM (Geographical Embedding and Multilayer Attention -Bidirectional Long Short-Term Memory) model to predict the next-location in users' mobility. The model combines location and spatiotemporal information to extract the semantics of human mobility.
7 Νοε 2024 · Scientists routinely build quantitative models — of, say, the weather or an epidemic — and then use them to make predictions, which they can then test against the real thing. This work can reveal how well we understand complex phenomena, and also dictate where research should go next.
25 Αυγ 2020 · Chen et al. proposed a new model called Human Mobility Representation Model (HMRM) to predict the users’ next location, and simultaneously produce the vector representations of the data which was consisted by user ID, location ID, and timestamp and activity type.
mobility patterns and achieve more accurate and intelligent predictions. This survey provides a com-prehensive overview of the next useful location prediction problem with context-awareness. First, we explain the concepts of context and context-awareness and define the next location prediction problem.
