activity
20182022
most citedUsing Machine Learning Methods to Forecast If Solar Flares Will Be Associated with CMEs and SEPs

53 citations · 104 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2022★ 7 cited

Towards Data-Driven Precision Agriculture using Open Data and Open Source Software

Jacob Høxbroe Jeppesen, Rune Hylsberg Jacobsen, Rasmus Nyholm Jørgensen +1

Information and communications technology (ICT) within the agricultural sector is characterized by a widespread use of proprietary data formats, a strong lack of interoperability s…

cs.NI2021★ 40 cited

A Review on Communication Protocols for Autonomous Unmanned Aerial Vehicles for Inspection Application

Liping Shi, Néstor J. Hernández Marcano, Rune Hylsberg Jacobsen

The communication system is a critical part of the system design for the autonomous UAV. It has to address different considerations, including efficiency, reliability and mobility…

astro-ph.HE2020★ 4 cited

A General Overview for Localizing Short Gamma-ray Bursts with a CubeSat Mega-Constellation

Fadil Inceoglu, Nestor J. Hernandez Marcano, Rune H. Jacobsen +1

The Gamma-Ray Burst Monitor (GBM) on the {\it Fermi Gamma-Ray Space Telescope}, for the first time, detected a short gamma ray burst (SGRB) signal that accompanies a gravitational…

astro-ph.SR2018★ 53 cited

Using Machine Learning Methods to Forecast If Solar Flares Will Be Associated with CMEs and SEPs

Fadil Inceoglu, Jacob H. Jeppesen, Peter Kongstad +3

Among the eruptive activity phenomena observed on the Sun, the most technology threatening ones are flares with associated coronal mass ejections (CMEs) and solar energetic particl…

cs.OH2018

A Framework for Detecting and Translating User Behavior from Smart Meter Data

Egon Kidmose, Emad Ebeid, Rune Hylsberg Jacobsen

The European adoption of smart electricity meters triggers the developments of new value-added service for smart energy and optimal consumption. Recently, several algorithms and to…