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User profiling from their use of smartphone applications: A survey
The number and popularity of smartphone applications is rising dramatically. Users install
and use applications depending on their needs and interests. Applications on smartphones …
and use applications depending on their needs and interests. Applications on smartphones …
AIS-based vessel trajectory compression: a systematic review and software development
With the advancement of satellite and 5G communication technologies, vehicles can
transmit and exchange data from anywhere in the world. It has resulted in the generation of …
transmit and exchange data from anywhere in the world. It has resulted in the generation of …
A novel convolutional neural network based indoor localization framework with WiFi fingerprinting
With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …
devices, indoor localization is empowering numerous location-based services. With the …
Explicit evolutionary multitasking for combinatorial optimization: A case study on capacitated vehicle routing problem
Recently, evolutionary multitasking (EMT) has been proposed in the field of evolutionary
computation as a new search paradigm, for solving multiple optimization tasks …
computation as a new search paradigm, for solving multiple optimization tasks …
[HTML][HTML] Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories
Abstract Automatic Identification System (AIS) offers a wealth of vessel navigation data,
which underpins research in maritime data mining, situational awareness, and knowledge …
which underpins research in maritime data mining, situational awareness, and knowledge …
Artificial intelligence-empowered edge of vehicles: architecture, enabling technologies, and applications
With the proliferation of mobile devices and a wealth of rich application services, the Internet
of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive …
of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive …
TRACE: Real-time compression of streaming trajectories in road networks
The deployment of vehicle location services generates increasingly massive vehicle
trajectory data, which incurs high storage and transmission costs. A range of studies target …
trajectory data, which incurs high storage and transmission costs. A range of studies target …
L2mm: learning to map matching with deep models for low-quality gps trajectory data
Map matching is a fundamental research topic with the objective of aligning GPS trajectories
to paths on the road network. However, existing models fail to achieve satisfactory …
to paths on the road network. However, existing models fail to achieve satisfactory …
Research on small target detection in driving scenarios based on improved yolo network
Q Xu, R Lin, H Yue, H Huang, Y Yang, Z Yao - IEEE Access, 2020 - ieeexplore.ieee.org
The obtainment of road condition information during driving is extremely important for a
driver. However, drivers usually cannot notice multiple information at the same time, which …
driver. However, drivers usually cannot notice multiple information at the same time, which …
Robust computation offloading and resource scheduling in cloudlet-based mobile cloud computing
Mobile cloud computing (MCC) as an emerging computing paradigm enables mobile
devices to offload their computation tasks to nearby resource-rich cloudlets so as to augment …
devices to offload their computation tasks to nearby resource-rich cloudlets so as to augment …