[HTML][HTML] When 5G meets deep learning: a systematic review

GL Santos, PT Endo, D Sadok, J Kelner - Algorithms, 2020 - mdpi.com
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …

{PrivTrace}: Differentially Private Trajectory Synthesis by Adaptive Markov Models

H Wang, Z Zhang, T Wang, S He, M Backes… - 32nd USENIX Security …, 2023 - usenix.org
Publishing trajectory data (individual's movement information) is very useful, but it also
raises privacy concerns. To handle the privacy concern, in this paper, we apply differential …

Mobility management in emerging ultra-dense cellular networks: A survey, outlook, and future research directions

SMA Zaidi, M Manalastas, H Farooq, A Imran - IEEE Access, 2020 - ieeexplore.ieee.org
The exponential rise in mobile traffic originating from mobile devices highlights the need for
making mobility management in future networks even more efficient and seamless than ever …

[HTML][HTML] Vessel trajectory prediction model based on AIS sensor data and adaptive chaos differential evolution support vector regression (ACDE-SVR)

J Liu, G Shi, K Zhu - Applied Sciences, 2019 - mdpi.com
Featured Application Authors are encouraged to provide a concise description of the specific
application or a potential application of the work. This section is not mandatory. Abstract …

Data analytics in the internet of things: a survey

TJ Saleem, MA Chishti - Scalable Computing: Practice and Experience, 2019 - scpe.org
The plethora of sensors deployed in Internet of Things (IoT) environments generate
unprecedented volumes of data, thereby creating a data deluge. Data collected from these …

MECC: a mobile edge collaborative caching framework empowered by deep reinforcement learning

S Xu, X Liu, S Guo, X Qiu, L Meng - IEEE Network, 2021 - ieeexplore.ieee.org
With the rapid development of smart city and 5G, user demand for Internet services has
increased exponentially. Through collaborative content sharing, the storage limitation of a …

Online multiple outputs least-squares support vector regression model of ship trajectory prediction based on automatic information system data and selection …

J Liu, G Shi, K Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Existing maritime trajectory prediction models are faced with problems of low accuracy and
inability to predict ship tracks in real time. To solve the above problem, an online multiple …

Document similarity detection using k-means and cosine distance

W Usino, AS Prabuwono, KHS Allehaibi… - International …, 2019 - search.proquest.com
A two-year study by the Ministry of Research, Technology and Education in Indonesia
presented the evaluation of most universities in Indonesia. The findings of the evaluation are …

[HTML][HTML] Energy-effective power control algorithm with mobility prediction for 5G heterogeneous cloud radio access network

H Park, Y Lim - Sensors, 2018 - mdpi.com
In 5G networks, heterogeneous cloud radio access network (H-CRAN) is considered a
promising future architecture to minimize energy consumption and efficiently allocate …

Mobile user location prediction based on user classification and markov model

Y Li, L Lei, M Yan - … Joint Conference on Information, Media and …, 2019 - ieeexplore.ieee.org
Individual's location has play a very important role in mobile network, predicting user's next
location in advance has a great effect on optimize network resource and improve user …