Levering mobile cloud computing for mobile big data analytics

Y Liu, H Song - Mobile Big Data: A Roadmap from Models to …, 2018 - Springer
Mobile devices are becoming an indispensable tool for daily life and a considerable number
of services are delivered via mobile devices. However, the capacity of mobile devices is …

Knowledge Acquisition from Pedestrian Flow Analysis using Sparse Mobile Probe Data

RPB Neto, K Ohno, T Westfechtel, S Kojima… - Journal of Intelligent & …, 2021 - Springer
Autonomous vehicles require high-level semantic maps, which contain the activities of
pedestrians and cars, to ensure safe navigation. High-level semantics can be obtained from …

Urban Functional Area Division Based on Cell Tower Classification

Y Wu, Y Qiao, J Yang - IEEE Access, 2019 - ieeexplore.ieee.org
Each city can be divided into different functional areas for different purposes, such as
commercial areas, residential areas, leisure areas, office areas, etc. How to correctly divide …

Mobile big data analysis with machine learning

J Xie, Z Song, Y Li, Z Ma - arXiv preprint arXiv:1808.00803, 2018 - arxiv.org
This paper investigates to identify the requirement and the development of machine learning-
based mobile big data analysis through discussing the insights of challenges in the mobile …

Cooperative Content Caching for 5G and Beyond Mobile Wireless Networks

KSU Khan - 2020 - ses.library.usyd.edu.au
: The increased interest in traffic-intensive applications such as High Definition (HD) video,
augmented reality, and 3-D visualization is expected to result in higher network traffic. Such …

Prediction of traffic density and interest using real time mobile traffic data

Y Gao, A Hong, Q Zhou, X Li, S Liu… - … and Knowledge in the …, 2016 - ieeexplore.ieee.org
With the increasing number of mobile users and applications, data services and on-demand
suggestions gradually play an important role in mobile life. In this work, based on the …

Handover detection approach based on trajectory data mining techniques

N Han, S Qiao, D Liu, P Ding, Y Zhang… - The Journal of …, 2018 - Wiley Online Library
In order to overcome the disadvantages of existing handover approaches in cellular
communication networks, a new handover detection approach based on trajectory data …

WeUp: Wireless User Perception Based on Dimensional Reduction and Semi-Supervised Clustering

K Zhang, W Shi, J Zeng, G Fan, Y Wang, G Gui - IEEE Access, 2019 - ieeexplore.ieee.org
Wireless user perception (WeUP) is considered one of the most important factors in
designing next-generation wireless communications systems. The recognition of WeUP …

A human-in-the-loop architecture for mobile network: From the view of large scale mobile data traffic

Y Qiao, J Yu, W Lin, J Yang - Wireless Personal Communications, 2018 - Springer
Unlike other radio signal services, 5G is anticipated to play a huge role in offering services to
heterogeneous networks, technologies, and devices operating in different geographic …

[PDF][PDF] Modeling Individual Activity and Mobility Behavior and Assessing Ridesharing Impacts Using Emerging Data Sources

J Zhang - 2023 - stars.library.ucf.edu
Predicting individual mobility behavior is one of the major steps of transportation planning
models. Accurate prediction of individual mobility behavior will be beneficial for …