Results 31 to 40 of about 3,201,051 (237)
CASTLE: A CONTEXT-AWARE SPATIAL-TEMPORAL LOCATION EMBEDDING PRE-TRAINING MODEL FOR NEXT LOCATION PREDICTION [PDF]
Next location prediction is helpful for service recommendation, public safety, intelligent transportation, and other location-based applications. Existing location prediction methods usually use sparse check-in trajectories and require massive historical
J. Cheng, J. Huang, X. Zhang
doaj +1 more source
Modelling heterogeneous location habits in human populations for location prediction under data sparsity [PDF]
In recent years, researchers have sought to capture the daily life location behaviour of groups of people for exploratory, inference, and predictive purposes.
James McInerney +8 more
core +1 more source
Predicting Cartographic Symbol Location with Eye-Tracking Data and Machine Learning Approach
Visual search is a core component of map reading, influenced by both cartographic design and human perceptual processes. This study investigates whether the location of a target cartographic symbol—central or peripheral—can be predicted using eye ...
Paweł Cybulski
doaj +1 more source
Improving location prediction services for new users with probabilistic latent semantic analysis
Location prediction systems that attempt to determine the mobility patterns of individuals in their daily lives have become increasingly common in recent years.
James McInerney +6 more
core +1 more source
Authentication by Location Tracking in Underwater Acoustic Networks
Physical layer message authentication in underwater acoustic networks (UWANs) leverages the properties of the underwater acoustic channel (UWAC) to identify the transmitting device.
Gianmaria Ventura +2 more
doaj +1 more source
A Multi-Element Hybrid Location Recommendation Algorithm for Location Based Social Networks
In the environment of data explosion, how to make an effective and accurate personalized point of interest (POI) recommendation in location-based social networks (LBSNs) is a challenging and meaningful task.
Ren Yue-Qiang +3 more
doaj +1 more source
Sagnac Loop Based Sensing System for Intrusion Localization Using Machine Learning
Among all optical sensing techniques, the distributed Sagnac loop (SI) sensor has the advantage of being simple to implement with low cost. Most of the proposed techniques for using SI exploit the frequency null method for event localization.
Maged A. Esmail +5 more
doaj +1 more source
In future 6G networks, real-time and accurate vehicular data are key requirements for enhancing the data-driven multi-access edge computing (MEC) applications.
Asif Mehmood +3 more
doaj +1 more source
Aiming at the problems for existing data transmission mechanisms in Internet of vehicles, such as real-time performance, high efficiency of computing tasks, vehicle data privacy, etc., this paper proposes an efficient and secure data transmission ...
Wenjuan Zhang, Gang Li
doaj +1 more source
Predicting User Locations and Trajectories [PDF]
Location-based services usually recommend new locations based on the user’s current location or a given destination. However, human mobility involves to a large extent routine behavior and visits to already visited locations. In this paper, we show how daily and weekly routines can be modeled with basic prediction techniques.
Eelco Herder +2 more
openaire +2 more sources

