activity
20202024
most citedMachine Learning Framework for RF-Based Drone Detection and Identification System

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2024

Assessing wind energy's potential for Kentucky

Abbas Shah Syed, Aron Patrick, Adrian Lauf +1

Recently, there has been a push by countries to diversify their energy mix considering various factors. In this regard, there have been several studies conducted to assess the pote…

eess.SP2021

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…

eess.SP2021

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…

eess.SP2021

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…

eess.SP2020★ 2 cited

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…