Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Parasuraman, Ramviyas"'
Autor:
Yang, Qin, Parasuraman, Ramviyas
Underlying relationships among Multi-Agent Systems (MAS) in hazardous scenarios can be represented as Game-theoretic models. This paper proposes a new hierarchical network-based model called Game-theoretic Utility Tree (GUT), which decomposes high-le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5117a16b952881c86fd793af8856e93f
Autor:
Yang, Qin, Parasuraman, Ramviyas
Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructured, and dynamic environments to improve the system utility, decrease the overall cost, and increase mission succ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2628ebdd7bc4f0675e2e8b12e88cefe2
This paper introduces Wisture, a new online machine learning solution for recognizing touch-less dynamic hand gestures on a smartphone. Wisture relies on the standard Wi-Fi Received Signal Strength (RSS) using a Long Short-Term Memory (LSTM) Recurren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7f7ca6bedc8b3ad46fe6574d1c095be
http://arxiv.org/abs/1707.08569
http://arxiv.org/abs/1707.08569