Deploying 5G-Technologies in Smart City and Smart Home Wireless Sensor Networks with Interferences. - Per Lynggaard; Knud Erik Skouby (Wirel. Pers. Commun., 2015)

Complex IoT Systems as Enablers for Smart Homes in a Smart City Vision. - Per Lynggaard; Knud Erik Skouby (Sensors, 2016)

Detecting Premature Ventricular Contraction by Using Regulated Discriminant Analysis with Very Sparse Training Data. - Per Lynggaard (Appl. Artif. Intell., 2019)

Smart Home Wireless Sensor Nodes Addressing the Challenges using Smart Objects and Artificial Intelligence. - Per Lynggaard (CoRR, 2019)

Controlling interferences in smart building IoT networks using machine learning. - Per Lynggaard (Int. J. Sens. Networks, 2019)

Using neural networks to reduce sensor cluster interferences and power consumption in smart cities. - Per Lynggaard (Int. J. Sens. Networks, 2020)

LoRaWan Sensitivity Analysis and Prevention Strategies Against Wireless DoS Attacks. - N. Prasad 005; Per Lynggaard (Wirel. Pers. Commun., 2022)