Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Chris Develder"'
Publikováno v:
IEEE Access, Vol 11, Pp 20885-20896 (2023)
Natural language processing technology has made significant progress in recent years, fuelled by increasingly powerful general language models. This has also inspired a sizeable body of work targeted specifically towards the educational domain, where
Externí odkaz:
https://doaj.org/article/457055de5f96461d8f9d34e23452cbe6
Publikováno v:
Energies, Vol 13, Iss 16, p 4211 (2020)
Electric vehicle (EV) charging stations have become prominent in electricity grids in the past few years. Their increased penetration introduces both challenges and opportunities; they contribute to increased load, but also offer flexibility potentia
Externí odkaz:
https://doaj.org/article/132e1c5ddaab41c5a54fb3a06f759de6
Publikováno v:
Energies, Vol 13, Iss 5, p 1183 (2020)
The renewable energy transition has introduced new electricity tariff structures. With the increased penetration of photovoltaic and wind power systems, users are being charged more for their peak demand. Consequently, peak shaving has gained attenti
Externí odkaz:
https://doaj.org/article/88723dadbd9f4acba73384ae80cab1c5
Publikováno v:
APPLIED INTELLIGENCE
This work presents a new dialog dataset, CookDial, that facilitates research on task-oriented dialog systems with procedural knowledge understanding. The corpus contains 260 human-to-human task-oriented dialogs in which an agent, given a recipe docum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f061ddca4cf870cd626d491f2e632272
https://doi.org/10.1007/s10489-022-03692-0
https://doi.org/10.1007/s10489-022-03692-0
Publikováno v:
Energy. 278:127737
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a846bf084390069bf04b39fc86503108
https://doi.org/10.1016/j.energy.2023.127737
https://doi.org/10.1016/j.energy.2023.127737
Publikováno v:
ENERGY
The energy losses and costs associated with faults in photovoltaic (PV) systems significantly limit the efficiency and reliability of solar power. Since existing methods for automatic fault diagnosis require expensive sensors, they are only cost-effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65e6638262c1f34cdbaca31dbf67f968
https://hdl.handle.net/1854/LU-01GRNQKHT2ZP7EJD5ETRC650XW
https://hdl.handle.net/1854/LU-01GRNQKHT2ZP7EJD5ETRC650XW
Publikováno v:
PATTERN RECOGNITION LETTERS
Neural networks have achieved state of the art performance across a wide variety of machine learning tasks, often with large and computation-heavy models. Inducing sparseness as a way to reduce the memory and computation footprint of these models has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6334bf4bc2e4c4d1f79494444965b9a
https://doi.org/10.1016/j.patrec.2021.08.013
https://doi.org/10.1016/j.patrec.2021.08.013
Publikováno v:
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering
This work presents the contribution from the Text-to-Knowledge team of Ghent University (UGent-T2K) to the MultiDoc2Dial shared task on modeling dialogs grounded in multiple documents. We propose a pipeline system, comprising (1) document retrieval,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c50cacba491f7fe7611766c661e0552e
https://doi.org/10.18653/v1/2022.dialdoc-1.12
https://doi.org/10.18653/v1/2022.dialdoc-1.12
Publikováno v:
APPLIED ENERGY
Due to manufacturing defects and wear, faults in photovoltaic (PV) systems are often unavoidable. The effects range from energy losses to risk of fire and electrical shock, making early fault detection and identification crucial. Literature focuses o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47f33a4548559eb87e150eb769c7c000
https://biblio.ugent.be/publication/8723447/file/8723449
https://biblio.ugent.be/publication/8723447/file/8723449
Publikováno v:
BuildSys@SenSys
Over time, photovoltaic (PV) systems become increasingly susceptible to faults. Early fault detection and identification not only limits power losses and increases the systems lifetime, but also prevents more serious consequences, such as risk of fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff838eb0cc9479faac32d7148384c85
https://doi.org/10.1145/3486611.3486656
https://doi.org/10.1145/3486611.3486656