Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Srikanth Chandar"'
Publikováno v:
AI, Machine Learning and Applications.
Federated Learning allows training of data stored in distributed devices without the need for centralizing training-data, thereby maintaining data-privacy. Addressing the ability to handle data heterogeneity (non-identical and independent distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93188c77461d012fe1a77c69fd98645f
https://doi.org/10.5121/csit.2021.111302
https://doi.org/10.5121/csit.2021.111302
Publikováno v:
ICMLA
In this paper, we present a novel approach to identify the Spatio-temporal and environmental features that influence the safety of a road and predict its accident proneness based on these features. A total of 14 features were compiled based on Time,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b90624f180e6ef7b719f64bf1c9b4fd
https://doi.org/10.1109/icmla51294.2020.00235
https://doi.org/10.1109/icmla51294.2020.00235
Autor:
Harsha Sunder, Srikanth Chandar
Publikováno v:
Modeling, Machine Learning and Astronomy ISBN: 9789813364622
In this paper, we introduce a novel architecture to connecting adaptive learning and neural networks into an arbitrary machine’s control system paradigm. Two consecutive Recurrent Neural Networks (RNNs) are used together to accurately model the dyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82d5f34b8ed49f0c6426ad691e5c4293
https://doi.org/10.1007/978-981-33-6463-9_8
https://doi.org/10.1007/978-981-33-6463-9_8
