A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
[HTML][HTML] Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis
Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …
increasing interest as it helps prevent collision accidents and eliminate potential …
[HTML][HTML] Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships
Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
Mobility-aware joint task scheduling and resource allocation for cooperative mobile edge computing
Mobile edge computing (MEC) has emerged as a new paradigm to assist low latency
services by enabling computation offloading at the network edge. Nevertheless, human …
services by enabling computation offloading at the network edge. Nevertheless, human …
A survey of trajectory distance measures and performance evaluation
The proliferation of trajectory data in various application domains has inspired tremendous
research efforts to analyze large-scale trajectory data from a variety of aspects. A …
research efforts to analyze large-scale trajectory data from a variety of aspects. A …
A survey on trajectory data management, analytics, and learning
Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …
in the availability and collection of urban trajectory data, thus increasing the demand for …
The impact of AI on the advertising process: The Chinese experience
X Qin, Z Jiang - Journal of Advertising, 2019 - Taylor & Francis
Knowing that the demand for advertising in a growing e-commerce market cannot be
sufficiently addressed in a traditional advertising operation model, advertisers and e …
sufficiently addressed in a traditional advertising operation model, advertisers and e …
Social media contents based sentiment analysis and prediction system
SY Yoo, JI Song, OR Jeong - Expert Systems with Applications, 2018 - Elsevier
With the influence and social ripple effect of social media sites, diverse studies are in
progress to analyze the contents generated by users. Numerous contents generated in real …
progress to analyze the contents generated by users. Numerous contents generated in real …
Mobility prediction: A survey on state-of-the-art schemes and future applications
H Zhang, L Dai - IEEE access, 2018 - ieeexplore.ieee.org
Recently, mobility has gathered tremendous interest as the users' desire for consecutive
connections and better quality of service has increased. An accurate prediction of user …
connections and better quality of service has increased. An accurate prediction of user …
GPU-accelerated compression and visualization of large-scale vessel trajectories in maritime IoT industries
Y Huang, Y Li, Z Zhang, RW Liu - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The automatic identification system (AIS), an automatic vessel-tracking system, has been
widely adopted to perform intelligent traffic management and collision avoidance services in …
widely adopted to perform intelligent traffic management and collision avoidance services in …