Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Joyjit Chatterjee"'
Autor:
Joyjit Chatterjee, Nina Dethlefs
Publikováno v:
IEEE Access, Vol 10, Pp 84710-84737 (2022)
Intelligent question-answering (QA) systems have witnessed increased interest in recent years, particularly in their ability to facilitate information access, data interpretation or decision support. The wind energy sector is one of the most promisin
Externí odkaz:
https://doaj.org/article/79191c73da0f4d0bab57ccd6b132eab0
Autor:
Joyjit Chatterjee, Maria T. Alvela Nieto, Hannes Gelbhardt, Nina Dethlefs, Jan-Hendrik Ohlendorf, Andreas Greulich, Klaus-Dieter Thoben
Publikováno v:
Environmental Data Science, Vol 2 (2023)
Wind energy’s ability to liberate the world from conventional sources of energy relies on lowering the significant costs associated with the maintenance of wind turbines. Since icing events on turbine rotor blades are a leading cause of operational
Externí odkaz:
https://doaj.org/article/2a0a876c72924847b91bc2f6124d660b
Autor:
Joyjit Chatterjee, Nina Dethlefs
Publikováno v:
Patterns, Vol 3, Iss 6, Pp 100528- (2022)
Artificial intelligence (AI) can help facilitate wider adoption of renewable energy globally. We organized a social event for the AI and renewables community to discuss these aspects at the International Conference on Learning Representations (ICLR),
Externí odkaz:
https://doaj.org/article/3eaba645ef8a4c5c8339243242d1ca13
Autor:
Nina Dethlefs, Joyjit Chatterjee
Publikováno v:
IEEE Access. 10:84710-84737
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a94fabf899434262105879144a4c9094
https://doi.org/10.1109/access.2022.3197167
https://doi.org/10.1109/access.2022.3197167
Autor:
Joyjit Chatterjee, Nina Dethlefs
Publikováno v:
Wind Energy. 23:1693-1710
The last decade has witnessed an increased interest in applying machine learning techniques to predict faults and anomalies in the operation of wind turbines. These efforts have lately been dominated by deep learning techniques which, as in other fie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aaaa11f4be5b8ce2bdc22c4982bda1d
https://doi.org/10.1002/we.2510
https://doi.org/10.1002/we.2510
Autor:
Joyjit Chatterjee, Nina Dethlefs
Wind energy has emerged as a highly promising source of renewable energy in recent times. However, wind turbines regularly suffer from operational inconsistencies, leading to significant costs and challenges in operations and maintenance (O&M). Condi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc9c96c7255e47947a6d605b61005ad
Autor:
Joyjit Chatterjee, Nina Dethlefs
Publikováno v:
Patterns. 4:100676
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::462a82243b06ae96bd4b1070a3242f81
https://doi.org/10.1016/j.patter.2022.100676
https://doi.org/10.1016/j.patter.2022.100676
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789813348929
With the recent advances in the move towards autonomous vehicles, detecting vehicles through computer vision techniques is set to be an area of paramount importance. While existing studies apply artificial intelligence techniques for detecting vehicl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82c54452fb3a25b6f7c9fe5658b6ca90
https://doi.org/10.1007/978-981-33-4893-6_15
https://doi.org/10.1007/978-981-33-4893-6_15
Autor:
Nina Dethlefs, Joyjit Chatterjee
Publikováno v:
Developments in Renewable Energies Offshore ISBN: 9781003134572
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41997a2ef93fb94c60c7433f30893de1
https://doi.org/10.1201/9781003134572-50
https://doi.org/10.1201/9781003134572-50
Autor:
Joyjit Chatterjee, Nina Dethlefs
Publikováno v:
IJCNN
Wind energy is one of the fastest-growing sustainable energy sources in the world but relies crucially on efficient and effective operations and maintenance to generate sufficient amounts of energy and reduce downtime of wind turbines and associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d557671df1e3bb942082b5a60ec6ca05
https://doi.org/10.1109/ijcnn48605.2020.9206839
https://doi.org/10.1109/ijcnn48605.2020.9206839