Mobile phone data: A survey of techniques, features, and applications
Due to the rapid growth in the use of smartphones, the digital traces (eg, mobile phone data,
call detail records) left by the use of these devices have been widely employed to assess …
call detail records) left by the use of these devices have been widely employed to assess …
Hotspots analysis using cyber-physical-social system for a smart city
Internet of things plays a vital role in providing various services to users. Significant volumes
of data are generated from the communication between a large numbers of heterogeneous …
of data are generated from the communication between a large numbers of heterogeneous …
City Hotspot Identification Using Smart Cyber-Physical Social System
Recently, the concept of smart cities has become popular and got researchers' attention
because it helps to improve citizens' lives by providing valuable services, for instance, smart …
because it helps to improve citizens' lives by providing valuable services, for instance, smart …
Fine-grained spatio-temporal distribution prediction of mobile content delivery in 5G ultra-dense networks
The 5G networks have extensively promoted the growth of mobile users and novel
applications, and with the skyrocketing user requests for a large amount of popular content …
applications, and with the skyrocketing user requests for a large amount of popular content …
Predicting short‐term mobile Internet traffic from Internet activity using recurrent neural networks
Mobile network traffic prediction is an important input into network capacity planning and
optimization. Existing approaches may lack the speed and computational complexity to …
optimization. Existing approaches may lack the speed and computational complexity to …
MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects
S Huang, Y Zhang, G Peng, J Zhao, K Zhu… - Journal of Cloud …, 2022 - Springer
In this article, we solve the key positions prediction problem of engineering projects in smart
grid, which pays more attention to the spatial-temporal distribution of projects. Many studies …
grid, which pays more attention to the spatial-temporal distribution of projects. Many studies …
Network characteristics of inter-city tourist flows in the Yangtze River Delta of China: case study of the May Day Holiday based on Tencent migration big data
P Wu, X Zhu, X Feng, H Liu, J Dong - Environment, Development and …, 2023 - Springer
Based on the Tencent migration big data, we use the social network analysis method to
construct a network of inter-city tourism flows among 160 municipal districts and county-level …
construct a network of inter-city tourism flows among 160 municipal districts and county-level …
Appshot: a conditional deep generative model for synthesizing service-level mobile traffic snapshots at city scale
Service-level mobile traffic data enables research studies and innovative applications with a
potential to shape future service-oriented communication systems and beyond. However …
potential to shape future service-oriented communication systems and beyond. However …
Edge oriented urban hotspot prediction for human-centric internet of things
Y Zeng, K Xiang - IEEE Access, 2021 - ieeexplore.ieee.org
Mobile edge computing works well with the rapid growth of human-centric IoT applications
by providing timely and in-situ data caching and processing. Edge oriented urban hotspot …
by providing timely and in-situ data caching and processing. Edge oriented urban hotspot …
Spatio-temporal-social multi-feature-based fine-grained hot spots prediction for content delivery services in 5G era
The arrival of 5G networks has extensively promoted the growth of content delivery services
(CDSs). Understanding and predicting the spatio-temporal distribution of CDSs are …
(CDSs). Understanding and predicting the spatio-temporal distribution of CDSs are …