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ORCIDEmmanuel Oyekanlu
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2020 – today
- 2020
[j1]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:
A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications. IEEE Access 8: 202312-202353 (2020)
2010 – 2019
- 2018
- [c8]Emmanuel Oyekanlu, Kevin Scoles:
Towards Low-Cost, Real-Time, Distributed Signal and Data Processing for Artificial Intelligence Applications at Edges of Large Industrial and Internet Networks. AIKE 2018: 166-167 - [c7]Emmanuel Oyekanlu:
Distributed Osmotic Computing Approach to Implementation of Explainable Predictive Deep Learning at Industrial IoT Network Edges with Real-Time Adaptive Wavelet Graphs. AIKE 2018: 179-188 - [c6]Emmanuel Oyekanlu:
Osmotic Collaborative Computing for Machine Learning and Cybersecurity Applications in Industrial IoT Networks and Cyber Physical Systems with Gaussian Mixture Models. CIC 2018: 326-335 - [c5]Emmanuel Oyekanlu:
Fault-Tolerant Real-Time Collaborative Network Edge Analytics for Industrial IoT and Cyber Physical Systems with Communication Network Diversity. CIC 2018: 336-345 - [c4]Emmanuel Oyekanlu, Kevin Scoles, Paul O. Oladele:
Advanced Signal Processing for Communication Networks and Industrial IoT Machines Using Low-Cost Fixed-Point Digital Signal Processor. ICAIT 2018: 93-101 - [c3]Emmanuel Oyekanlu, Kevin Scoles, Paul O. Oladele:
Arbitrary Waveform Generation for IoT and Cyber Physical Systems Communication Networks Using C28x TMS320C2000 Digital Signal Processor. ICAIT 2018: 102-109 - [c2]Emmanuel Oyekanlu, Kevin Scoles:
Real-Time Distributed Computing at Network Edges for Large Scale Industrial IoT Networks. SERVICES 2018: 63-64 - 2017
- [c1]Emmanuel Oyekanlu:
Predictive edge computing for time series of industrial IoT and large scale critical infrastructure based on open-source software analytic of big data. IEEE BigData 2017: 1663-1669
Coauthor Index
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