Emmanuel Oyekanlu

According to our database, Emmanuel Oyekanlu authored at least 9 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications.

Emmanuel Oyekanlu, Alexander C. Smith, Windsor P. Thomas, Grethel Mulroy, Dave Hitesh, Matthew Ramsey, David J. Kuhn, Jason D. Mcghinnis, Steven C. Buonavita, Nickolus A. Looper, Mason Ng, Anthony Ng'oma, Weimin Liu, Patrick G. Mcbride, Michael G. Shultz, Craig Cerasi, Dan Sun

IEEE Access, 2020

2018

Real-Time Distributed Computing at Network Edges for Large Scale Industrial IoT Networks.

Emmanuel Oyekanlu, Kevin Scoles

Proceedings of the 2018 IEEE World Congress on Services, 2018

Arbitrary Waveform Generation for IoT and Cyber Physical Systems Communication Networks Using C28x TMS320C2000 Digital Signal Processor.

Emmanuel Oyekanlu, Kevin Scoles, Paul O. Oladele

Proceedings of the 10th International Conference on Advanced Infocomm Technology, 2018

Advanced Signal Processing for Communication Networks and Industrial IoT Machines Using Low-Cost Fixed-Point Digital Signal Processor.

Emmanuel Oyekanlu, Kevin Scoles, Paul O. Oladele

Proceedings of the 10th International Conference on Advanced Infocomm Technology, 2018

Fault-Tolerant Real-Time Collaborative Network Edge Analytics for Industrial IoT and Cyber Physical Systems with Communication Network Diversity.

Emmanuel Oyekanlu

Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

Osmotic Collaborative Computing for Machine Learning and Cybersecurity Applications in Industrial IoT Networks and Cyber Physical Systems with Gaussian Mixture Models.

Emmanuel Oyekanlu

Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

Towards Low-Cost, Real-Time, Distributed Signal and Data Processing for Artificial Intelligence Applications at Edges of Large Industrial and Internet Networks.

Emmanuel Oyekanlu, Kevin Scoles

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

Distributed Osmotic Computing Approach to Implementation of Explainable Predictive Deep Learning at Industrial IoT Network Edges with Real-Time Adaptive Wavelet Graphs.

Emmanuel Oyekanlu

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017

Predictive edge computing for time series of industrial IoT and large scale critical infrastructure based on open-source software analytic of big data.

Emmanuel Oyekanlu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017