Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yasaman Esfandiari"'
Autor:
Varsha Ravichandra-Mouli, Yasaman Esfandiari, Saeed Arabi, Anuj Sharma, Arya Haghighat, Pranamesh Chakraborty
Publikováno v:
Journal of Big Data Analytics in Transportation. 2:115-145
In recent years, Intelligent Transportation Systems (ITS) have seen efficient and faster development by implementing deep learning techniques in problem domains which were previously addressed using analytical or statistical solutions and also in som
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ce2b49042e27095fbbd2854e56dc46c
https://doi.org/10.1007/s42421-020-00020-1
https://doi.org/10.1007/s42421-020-00020-1
Publikováno v:
ICCPS
Advances in computing resources have resulted in the increasing complexity of cyber-physical systems (CPS). As the complexity of CPS evolved, the focus has shifted to deep reinforcement learning-based (DRL) methods for control of these systems. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33b1f2146f0feb4a3845769da5fa4986
https://doi.org/10.1145/3450267.3450537
https://doi.org/10.1145/3450267.3450537
Recent focus on robustness to adversarial attacks for deep neural networks produced a large variety of algorithms for training robust models. Most of the effective algorithms involve solving the min–max optimization problem for training robust mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e1482820f3af8bd64855c3e445e9c64
