This repository represents a basic implementation for the corresponding research paper, Fine-Tuning Federated Learning-based Intrusion Detection Systems for Transportation IoT.
GitHub RepoEnd-to-end development of a smart self-sorting recycliny system (trash can), impleented with convolutional nets and ladder logic programming.
GitHub RepoThe scope of this project is on an end-to-end predictive modeling machine learning problem, with the application on binary classification, on the Census Income dataset, extracted from the US Adult Census bureau database, and the primary problem is a prediction task: determining whether a person from the Census database made over $50, 000 a year.
GitHub RepoCheck out my research publications on Google Scholar.
Google Scholar ProfileRead my latest thoughts and lessons on my machine learning and AI experiences.
Accepted in IEEE SoutheastCon 2025.
Read PaperPublished in IEEE Access, co-author
Read PaperI'm Robert Akinie, a doctoral student pursuing an Electrical/Computer Engineering degree from North Carolina A&T State University. I received the B.S. degree in Electrical and Computer Engineering from Calvin University in 2021. My research interests include anomaly and intrusion detection systems, perceptual uncertainty in autonomous vehicles, autonomous vehicle architecture, and federated learning for IoT applications. .