Cellular Traffic Prediction using Recurrent Neural Networks

2020 IEEE 5th International Symposium on Telecommunication Technologies (ISTT) ◽

10.1109/istt50966.2020.9279373 ◽

2020 ◽

Author(s):

Shan Jaffry ◽

Syed Faraz Hasan

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Traffic Prediction ◽

Cellular Traffic

Download Full-text

Graph Convolutional Recurrent Neural Networks: A Deep Learning Framework for Traffic Prediction

Graph Data Mining - Big Data Management ◽

10.1007/978-981-16-2609-8_9 ◽

2021 ◽

pp. 189-204

Author(s):

Dongwei Xu ◽

Hongwei Dai ◽

Qi Xuan

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Recurrent Neural Networks ◽

Traffic Prediction ◽

Learning Framework

Download Full-text

Network Traffic Prediction Using Recurrent Neural Networks

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) ◽

10.1109/icmla.2018.00035 ◽

2018 ◽

Author(s):

Nipun Ramakrishnan ◽

Tarun Soni

Keyword(s):

Neural Networks ◽

Network Traffic ◽

Recurrent Neural Networks ◽

Traffic Prediction

Download Full-text

Using Noise Pollution Data for Traffic Prediction in Smart Cities: Experiments Based on LSTM Recurrent Neural Networks

IEEE Sensors Journal ◽

10.1109/jsen.2021.3100324 ◽

2021 ◽

pp. 1-1

Author(s):

Faraz Malik Awan ◽

Roberto Minerva ◽

Noel Crespi

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Smart Cities ◽

Noise Pollution ◽

Traffic Prediction

Download Full-text

Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks

IEEE Communications Letters ◽

10.1109/lcomm.2018.2841832 ◽

2018 ◽

Vol 22 (8) ◽

pp. 1656-1659 ◽

Author(s):

Chuanting Zhang ◽

Haixia Zhang ◽

Dongfeng Yuan ◽

Minggao Zhang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Traffic Prediction ◽

Cellular Traffic

Download Full-text

On recurrent neural networks for auto-similar traffic prediction: A performance evaluation

2006 International Telecommunications Symposium ◽

10.1109/its.2006.4433332 ◽

2006 ◽

Author(s):

Jose M. P. Menezes ◽

Guilherme A. Barreto

Keyword(s):

Neural Networks ◽

Performance Evaluation ◽

Recurrent Neural Networks ◽

Traffic Prediction ◽

Download Full-text

Structure optimization of BiLinear Recurrent Neural Networks and its application to Ethernet network traffic prediction

Information Sciences ◽

10.1016/j.ins.2009.10.005 ◽

2013 ◽

Vol 237 ◽

pp. 18-28 ◽

Author(s):

Dong-Chul Park

Keyword(s):

Neural Networks ◽

Network Traffic ◽

Recurrent Neural Networks ◽

Structure Optimization ◽

Traffic Prediction ◽

Ethernet Network

Download Full-text

Performance Evaluation of Feature Encoding Methods in Network Traffic Prediction Using Recurrent Neural Networks

Proceedings of the 2020 8th International Conference on Information and Education Technology ◽

10.1145/3395245.3396441 ◽

2020 ◽

Author(s):

Yusuke Tokuyama ◽

Ryo Miki ◽

Yukinobu Fukushima ◽

Yuya Tarutani ◽

Tokumi Yokohira

Keyword(s):

Neural Networks ◽

Performance Evaluation ◽

Network Traffic ◽

Recurrent Neural Networks ◽

Traffic Prediction ◽

Feature Encoding

Download Full-text

Network Traffic Prediction based on Diffusion Convolutional Recurrent Neural Networks

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) ◽

10.1109/infcomw.2019.8845132 ◽

2019 ◽

Author(s):

Davide Andreoletti ◽

Sebastian Troia ◽

Francesco Musumeci ◽

Silvia Giordano ◽

Guido Maier ◽

...

Keyword(s):

Neural Networks ◽

Network Traffic ◽

Recurrent Neural Networks ◽

Traffic Prediction

Download Full-text

Exploiting Recurrent Neural Networks for Gate Traffic Prediction

Advances in Intelligent Systems and Computing - Traffic Mining Applied to Police Activities ◽

10.1007/978-3-319-75608-0_11 ◽

2018 ◽

pp. 145-153 ◽

Author(s):

Fabio Fumarola ◽

Pasqua Fabiana Lanotte

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Traffic Prediction

Download Full-text

Spike timing-dependent plasticity in sparse recurrent neural networks

IEICE Proceeding Series ◽

10.15248/proc.1.485 ◽

2014 ◽

Vol 1 ◽

pp. 485-488

Author(s):

Hideyuki Kato ◽

Tohru Ikeguchi

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Spike Timing ◽

Spike Timing Dependent Plasticity ◽

Dependent Plasticity

Download Full-text