Results 141 to 150 of about 63,163 (313)

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

MF-IEKF: A Multiplicative Federated Invariant Extended Kalman Filter for INS/GNSS. [PDF]

Sensors (Basel)
Zhao L, Chen T, Yuan P, Li X, Luo Y.
europepmc   +1 more source

An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries

Yan Li, Min Ye, Qiao Wang, Gaoqi Lian, Baozhou Xia   +4 more
openalex   +1 more source

An Improved Adaptive Kalman Filter Positioning Method Based on OTFS. [PDF]

Sensors (Basel)
Xia S, Liu A, Liang X.
europepmc   +1 more source

State estimation based on nonlinear Kalman filter for fluid systems described by Burgers’ equation

, 2021
Takashi Shimizu, Tomoaki Hashimoto
openalex   +2 more sources

Secure localization of land vehicles under GPS spoofing attack with decomposition Kalman filter. [PDF]

Sci Rep
Zhao M, Han Z, Wang E, Liu J.
europepmc   +1 more source

Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements [PDF]

Samer Sahl, Enbin Song, Dunbiao Niu
openalex   +1 more source

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation

Methods in Ecology and Evolution, EarlyView.
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours ...
Marianna Chimienti, Akiko Kato, Vahid Seydi, Stefan Schoombie, Jefferson T. Hinke, Ruth Joy, Damian C. Lidgard, W. Chris Oosthuizen, Yannis P. Papastamatiou, Yan Ropert‐Coudert, Akinori Takahashi, Jean‐Baptiste Thiebot, Muriel Visani, Mickael Coustaty, Tiphaine Jeanniard‐du‐Dot   +14 more
wiley   +1 more source

Animal geolocation with convolution algorithms in Julia and R via Wahoo.jl

Methods in Ecology and Evolution, EarlyView.
Abstract Animal geolocation is the core of movement ecology. In aquatic ecosystems, electronic tagging and tracking technologies, such as passive acoustic telemetry systems and biologging sensors, are widely deployed. However, statistical estimation of individual locations from these datasets can be challenging and computationally expensive.
Edward Lavender, Carlo Albert, Andreas Scheidegger   +2 more
wiley   +1 more source