Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Philippe Reiter"'
Publikováno v:
IEEE Access, Vol 11, Pp 47994-48006 (2023)
Machine Learning (ML) has made its way into a wide variety of advanced applications, where high accuracies can be achieved when these ML models are evaluated in the same context as they were trained and validated on. However, when these high-accuracy
Externí odkaz:
https://doaj.org/article/e13249e908764d099de1068abc3338ab
Autor:
Thomas Huybrechts, Philippe Reiter, Siegfried Mercelis, Jeroen Famaey, Steven Latré, Peter Hellinckx
Publikováno v:
Energies, Vol 14, Iss 13, p 3914 (2021)
Batteryless Internet-of-Things (IoT) devices need to schedule tasks on very limited energy budgets from intermittent energy harvesting. Creating an energy-aware scheduler allows the device to schedule tasks in an efficient manner to avoid power loss
Externí odkaz:
https://doaj.org/article/e9a2137ae35f4743b17432700b3acc00
Autor:
Justus Anuj, Adnan Sabovic, Burcu Celikkol, Michiel Aernouts, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx, Jeroen Famaey
Publikováno v:
Proceedings of the 8th International Conference on Internet of Things, Big Data and Security.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9844f572585f731acfeaafd50f861bcb
https://doi.org/10.5220/0011839500003482
https://doi.org/10.5220/0011839500003482
Autor:
Henrique Carvalho de Resende, Joao Francisco Nunes Pinheiro, Philippe Reiter, Cristiano Bonato Both, Johann M. Marquez-Barja
Publikováno v:
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 8-11 January, 2022, Las Vegas, USA
Unmanned Aerial Vehicles (UAVs) are being developed and researched to be used in different areas and diverse use cases. The delivery of medical parcels is an emergency service that avails from the air traffic for the fast delivery of critical health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1983c20f041d20e2b066fd325416b08
https://doi.org/10.1109/ccnc49033.2022.9700528
https://doi.org/10.1109/ccnc49033.2022.9700528
Publikováno v:
Internet of Things
This paper explores the use of neural network pruning for transfer learning applications for more resource-efficient inference. The goal is to focus and optimize a neural network on a smaller specialized target task. With the advent of IoT, we have s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1ddfc3c10882572669e1b2eb120acd
https://doi.org/10.2139/ssrn.4158433
https://doi.org/10.2139/ssrn.4158433
Publikováno v:
Proceedings of IEEE Sensors
The use of different modalities improves the perception of the environment in situations where the conventional sensors fail (camera and LiDAR). The inclusion of these modalities, such as sonar or radar, is however difficult as existing methods for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f556666a10a8239c67cc27633482677
https://hdl.handle.net/10067/1863890151162165141
https://hdl.handle.net/10067/1863890151162165141
Autor:
Philippe Reiter, Thomas Huybrechts, Steven Latre, Siegfried Mercelis, Jeroen Famaey, Peter Hellinckx
Publikováno v:
Energies
Energies, Vol 14, Iss 3914, p 3914 (2021)
Energies; Volume 14; Issue 13; Pages: 3914
Energies, Vol 14, Iss 3914, p 3914 (2021)
Energies; Volume 14; Issue 13; Pages: 3914
Batteryless Internet-of-Things (IoT) devices need to schedule tasks on very limited energy budgets from intermittent energy harvesting. Creating an energy-aware scheduler allows the device to schedule tasks in an efficient manner to avoid power loss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a412db4c5d76f4f72852ae2facff68b1
https://hdl.handle.net/10067/1798250151162165141
https://hdl.handle.net/10067/1798250151162165141