2 citations · 2 across the 4 of their papers we have counts for
6 papers
Magnification-Invariant Image Classification via Domain Generalization and Stable Sparse Embedding Signatures
Ifeanyi Ezuma, Olusiji Medaiyese
Magnification shift is a major obstacle to robust histopathology classification, because models trained on one imaging scale often generalize poorly to another. Here, we evaluated…
Hierarchical Learning Framework for UAV Detection and Identification
Olusiji O Medaiyese, Martins Ezuma, Adrian P Lauf +1
The ubiquity of unmanned aerial vehicles (UAVs) or drones is posing both security and safety risks to the public as UAVs are now used for cybercrimes. To mitigate these risks, it i…
Semi-supervised Learning Framework for UAV Detection
Olusiji O Medaiyese, Martins Ezuma, Adrian P Lauf +1
The use of supervised learning with various sensing techniques such as audio, visual imaging, thermal sensing, RADAR, and radio frequency (RF) have been widely applied in the detec…
Wavelet Transform Analytics for RF-Based UAV Detection and Identification System Using Machine Learning
Olusiji Medaiyese, Martins Ezuma, Adrian P. Lauf +1
In this work, we performed a thorough comparative analysis on a radio frequency (RF) based drone detection and identification system (DDI) under wireless interference, such as WiFi…
FPGA prototyping of synchronized chaotic map for UAV secure communication
Christian Nwachioma, Martins Ezuma, Olusiji . O. Medaiyese
We propose a design that uses the principle of chaos for UAV secure communication. A UAV identified as an aerial base station communicates with a ground base station over an RF cha…
Machine Learning Framework for RF-Based Drone Detection and Identification System
Olusiji O. Medaiyese, Abbas Syed, Adrian P. Lauf
The emergence of drones has added new dimension to privacy and security issues. There are little or no strict regulations on the people that can purchase or own a drone. For this r…