Aniekan Essien

Orcid: 0000-0001-9501-0647

According to our database1, Aniekan Essien authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2024
Comparative Analysis of Machine Learning Techniques for DDoS Intrusion Detection in IoT Environments.
Proceedings of the 21st International Conference on Smart Business Technologies, 2024

2022
Towards scalable and reusable predictive models for cyber twins in manufacturing systems.
J. Intell. Manuf., 2022

2021
A deep-learning model for urban traffic flow prediction with traffic events mined from twitter.
World Wide Web, 2021

The stochastic aeroelastic response analysis of helicopter rotors using deep and shallow machine learning.
Neural Comput. Appl., 2021

2020
A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders.
IEEE Trans. Ind. Informatics, 2020

2019
Deep-PRESIMM: Integrating Deep Learning with Microsimulation for Traffic Prediction.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Deep Learning Framework for Univariate Time Series Prediction Using Convolutional LSTM Stacked Autoencoders.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

A Scalable Deep Convolutional LSTM Neural Network for Large-Scale Urban Traffic Flow Prediction using Recurrence Plots.
Proceedings of the 2019 IEEE AFRICON, Accra, Ghana, September 25-27, 2019, 2019

2018
The Impact of Rainfall and Temperature on Peak and Off-Peak Urban Traffic.
Proceedings of the Database and Expert Systems Applications, 2018


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