Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gautham Krishna Gudur"'
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91e08c57747843827af31ef7872ee69d
https://doi.org/10.1109/icmla55696.2022.00227
https://doi.org/10.1109/icmla55696.2022.00227
Federated learning is an effective way of extracting insights from different user devices while preserving the privacy of users. However, new classes with completely unseen data distributions can stream across any device in a federated learning setti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f25810d0d10173e38f32ba1d88a31767
http://arxiv.org/abs/2106.10019
http://arxiv.org/abs/2106.10019
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811605741
One of the most significant applications in pervasive computing for modeling user behavior is Human Activity Recognition (HAR). Such applications necessitate us to characterize insights from multiple resource-constrained user devices using machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c800a372cabf022b8b051db33478c10b
https://doi.org/10.1007/978-981-16-0575-8_5
https://doi.org/10.1007/978-981-16-0575-8_5
Autor:
Vineeth Vijayaraghavan, Aashish Kumar Jain, Sharan Sundar S, Sundararaman Venkataramani, Gautham Krishna Gudur, Ateendra Ramesh
Publikováno v:
ICDM Workshops
Demand Forecasting is a primary revenue management strategy in any business model, particularly in the highly volatile entertainment/movie industry wherein, inaccurate forecasting may lead to loss in revenue, improper workforce allocation and food wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7fba5378c8c698eddc62498cdbdfe52
https://doi.org/10.1109/icdmw.2019.00118
https://doi.org/10.1109/icdmw.2019.00118
Publikováno v:
UbiComp/ISWC Adjunct
Intelligent public transportation systems are the cornerstone to any smart city, given the advancements made in the field of self-driving autonomous vehicles - particularly for autonomous buses, where it becomes really difficult to systematize a way
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::361d9774ff4e614ad5ddcca03e3f2bf1
https://doi.org/10.1145/3341162.3349323
https://doi.org/10.1145/3341162.3349323
Publikováno v:
The 3rd International Workshop on Deep Learning for Mobile Systems and Applications.
Various health-care applications such as assisted living, fall detection etc., require modeling of user behavior through Human Activity Recognition (HAR). HAR using mobile- and wearable-based deep learning algorithms have been on the rise owing to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2b75f96baa7ba3a5cdb793a610990cd
https://doi.org/10.1145/3325413.3329790
https://doi.org/10.1145/3325413.3329790
Autor:
Gautham Krishna Gudur, Vineeth Vijayaraghavan, Prahalathan Sundaramoorthy, Manav Rajiv Moorthy, R. Nidhi Bhandari
Publikováno v:
EMDL@MobiSys
Recent advancements in the domain of pervasive computing have seen the incorporation of sensor-based Deep Learning algorithms in Human Activity Recognition (HAR). Contemporary Deep Learning models are engineered to alleviate the difficulties posed by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d8bcef44c8c42a750b0d2b66a3025de
https://doi.org/10.1145/3212725.3212728
https://doi.org/10.1145/3212725.3212728