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[HTML][HTML] Marine vessel classification and multivariate trajectories forecasting using metaheuristics-optimized extreme gradient boosting and recurrent neural networks
Maritime vessels provide a wealth of data concerning location, trajectories, and speed.
However, while these data are meticulously monitored and logged to maintain course, they …
However, while these data are meticulously monitored and logged to maintain course, they …
Exploring individual travel patterns across private car trajectory data
Understanding the travel behavior of private cars will generate promising solutions on
addressing urban problems such as alleviating traffic congestion and improving transport …
addressing urban problems such as alleviating traffic congestion and improving transport …
Hybrid machine learning and estimation-based flight trajectory prediction in terminal airspace
For air traffic management, trajectory prediction plays an important role as the predicted
trajectory information is used in crucial tasks for the safety and efficiency of air traffic …
trajectory information is used in crucial tasks for the safety and efficiency of air traffic …
Location privacy threats and protections in future vehicular networks: A comprehensive review
Location privacy is critical in vehicular networks, where drivers' trajectories and personal
information can be exposed, allowing adversaries to launch data and physical attacks that …
information can be exposed, allowing adversaries to launch data and physical attacks that …
Drive2friends: Inferring social relationships from individual vehicle mobility data
The number of vehicles has increased year by year, especially individual vehicles. In
addition to meeting basic transportation needs, vehicles are expected to serve varied …
addition to meeting basic transportation needs, vehicles are expected to serve varied …
Spectrum resource sharing in heterogeneous vehicular networks: A noncooperative game-theoretic approach with correlated equilibrium
In this paper, with the aims of alleviating the pressure from the shortage of spectrum
resource and addressing the inefficient spectrum utilization, we investigate the spectrum …
resource and addressing the inefficient spectrum utilization, we investigate the spectrum …
Short-term traffic volume prediction by ensemble learning in concept drifting environments
Because of the rapid changes in traffic conditions caused by various circumstances, such as
road construction and traffic jams, the distribution of the traffic volume data changes over …
road construction and traffic jams, the distribution of the traffic volume data changes over …
Indoor multifloor localization method based on WiFi fingerprints and LDA
Indoor localization has elicited increasing attention because it has been widely used in
indoor location-based services. At present, many complex scenarios for indoor localization …
indoor location-based services. At present, many complex scenarios for indoor localization …
A novel hybrid RSS and TOA positioning algorithm for multi-objective cooperative wireless sensor networks
Due to the significance of positioning in complicated electromagnetic environment of its
variety of applications, wireless localization techniques have attracted significant research …
variety of applications, wireless localization techniques have attracted significant research …
Vehicle trajectory interpolation based on ensemble transfer regression
Vehicle trajectory collection usually faces challenges such as inaccurate and incomplete
trajectory data, mainly due to missing trajectories caused by Global Navigation Satellite …
trajectory data, mainly due to missing trajectories caused by Global Navigation Satellite …