Cellular traffic prediction using recurrent neural networks
Autonomous network traffic prediction will be a key feature in beyond 5G networks. In the
past, researchers have used statistical methods such as Auto Regressive Integrated Moving …
past, researchers have used statistical methods such as Auto Regressive Integrated Moving …
CellTrans: Private Car or Public Transportation? Infer Users' Main Transportation Modes at Urban Scale with Cellular Data
Understanding citizens' main transportation modes at urban scale is beneficial to a range of
applications, such as urban planning, user profiling, transportation management, and …
applications, such as urban planning, user profiling, transportation management, and …
Time-Series Prediction using Nature-Inspired Small Models and Curriculum Learning
As wireless cellular networks evolve from one generation to the next, the associated
challenges in terms of compute, latency, and energy efficiency are continuously on the rise …
challenges in terms of compute, latency, and energy efficiency are continuously on the rise …
[HTML][HTML] Detecting Urban Commercial Districts by Fusing Points of Interest and Population Heat Data with Region-Growing Algorithms
B Zhao, X He, B Liu, J Tang, M Deng, H Liu - ISPRS International Journal …, 2023 - mdpi.com
Reasonable urban commercial planning must clarify the location and scope of urban
commercial districts (UCDs). However, existing studies typically detect spurious UCDs …
commercial districts (UCDs). However, existing studies typically detect spurious UCDs …
Predictive Service Provisioning with Online Learning in Wireless Edge Networks
Mobile Edge Computing (MEC) technology can be implemented at cellular base stations,
enabling flexible and configurable provisions of services for mobile users to access …
enabling flexible and configurable provisions of services for mobile users to access …
Full Network Sensing: Architecting 6G Beyond Communications
M Fiore - IEEE Network, 2023 - ieeexplore.ieee.org
As requirements for 6G systems start being shaped, we propose the provoking vision that
the future generations of mobile networks shall reach beyond their traditional role of …
the future generations of mobile networks shall reach beyond their traditional role of …
Cellular traffic prediction with recurrent neural network
S Jaffry - arXiv preprint arXiv:2003.02807, 2020 - arxiv.org
Autonomous prediction of traffic demand will be a key function in future cellular networks. In
the past, researchers have used statistical methods such as Autoregressive integrated …
the past, researchers have used statistical methods such as Autoregressive integrated …
Classifying urban fabrics into mobile call activity with supervised machine learning
Strong spatial relationships exist between call volume and human activities. In this paper,
we show machine learning models can classify base station coverage areas into classes of …
we show machine learning models can classify base station coverage areas into classes of …
[HTML][HTML] Case Study on the Efficiency of Recycling Companies' Waste Paper Collection Stations in Japan
Each year, a large amount of waste paper (WP) is generated in Japan, and due to the
change in lifestyle with the COVID-19 pandemic, the WP collection and recycling system in …
change in lifestyle with the COVID-19 pandemic, the WP collection and recycling system in …
Radial Basis Gated Unit-Recurrent Neural Network (RBGU-RNN) Algorithm
NF Rollin, S Giquel, MA Chantal, A Raoul, E Remy… - SN Computer …, 2023 - Springer
Abstract Radial Basis Gated Unit-Recurrent Neural Network (RBGU-RNN) algorithm is a
new architecture-based on recurrent neural network which combines a Radial Basis Gated …
new architecture-based on recurrent neural network which combines a Radial Basis Gated …