A unified framework for stochastic optimization
WB Powell - European Journal of Operational Research, 2019 - Elsevier
Stochastic optimization is an umbrella term that includes over a dozen fragmented
communities, using a patchwork of sometimes overlapping notational systems with …
communities, using a patchwork of sometimes overlapping notational systems with …
Device fingerprinting in wireless networks: Challenges and opportunities
Node forgery or impersonation, in which legitimate cryptographic credentials are captured
by an adversary, constitutes one major security threat facing wireless networks. The fact that …
by an adversary, constitutes one major security threat facing wireless networks. The fact that …
Sequential (quickest) change detection: Classical results and new directions
Online detection of changes in stochastic systems, referred to as sequential change
detection or quickest change detection, is an important research topic in statistics, signal …
detection or quickest change detection, is an important research topic in statistics, signal …
[图书][B] Partially observed Markov decision processes
V Krishnamurthy - 2016 - books.google.com
Covering formulation, algorithms, and structural results, and linking theory to real-world
applications in controlled sensing (including social learning, adaptive radars and sequential …
applications in controlled sensing (including social learning, adaptive radars and sequential …
Online cyber-attack detection in smart grid: A reinforcement learning approach
Early detection of cyber-attacks is crucial for a safe and reliable operation of the smart grid.
In the literature, outlier detection schemes making sample-by-sample decisions and online …
In the literature, outlier detection schemes making sample-by-sample decisions and online …
Spectrum sensing for cognitive radio: State-of-the-art and recent advances
The ever-increasing demand for higher data rates in wireless communications in the face of
limited or underutilized spectral resources has motivated the introduction of cognitive radio …
limited or underutilized spectral resources has motivated the introduction of cognitive radio …
[图书][B] Algorithmic learning in a random world
Vladimir Vovk Alexander Gammerman Glenn Shafer Second Edition Page 1 Vladimir Vovk
Alexander Gammerman Glenn Shafer Algorithmic Learning in a Random World Second …
Alexander Gammerman Glenn Shafer Algorithmic Learning in a Random World Second …
Distributed quickest detection of cyber-attacks in smart grid
In this paper, online detection of false data injection attacks and denial of service attacks in
the smart grid is studied. The system is modeled as a discrete-time linear dynamic system …
the smart grid is studied. The system is modeled as a discrete-time linear dynamic system …
Real-time detection of hybrid and stealthy cyber-attacks in smart grid
For a safe and reliable operation of the smart grid, timely detection of cyber-attacks is of
critical importance. Moreover, considering smarter and more capable attackers, robust …
critical importance. Moreover, considering smarter and more capable attackers, robust …
Detection of false data injection attacks in cyber–physical systems using graph convolutional network
Smart grids comprise numerous related units based on intelligent communication and
information-oriented technologies. The advanced network communication technologies are …
information-oriented technologies. The advanced network communication technologies are …