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 (IEEE BigData, 2017)

Distributed Osmotic Computing Approach to Implementation of Explainable Predictive Deep Learning at Industrial IoT Network Edges with Real-Time Adaptive Wavelet Graphs. - Emmanuel Oyekanlu (AIKE, 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 (AIKE, 2018)

Osmotic Collaborative Computing for Machine Learning and Cybersecurity Applications in Industrial IoT Networks and Cyber Physical Systems with Gaussian Mixture Models. - Emmanuel Oyekanlu (CIC, 2018)

Fault-Tolerant Real-Time Collaborative Network Edge Analytics for Industrial IoT and Cyber Physical Systems with Communication Network Diversity. - Emmanuel Oyekanlu (CIC, 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 (ICAIT, 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 (ICAIT, 2018)

Real-Time Distributed Computing at Network Edges for Large Scale Industrial IoT Networks. - Emmanuel Oyekanlu; Kevin Scoles (SERVICES, 2018)

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 002; 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; et al. (IEEE Access, 2020)