Results 81 to 90 of about 513,541 (222)
Graph neural network‐based attack prediction for communication‐based train control systems
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 +3 more
wiley +1 more source
Generalized Labeled Multi-Bernoulli Extended Target Tracking Based on Gaussian Process Regression
For the problems that Gamma Gaussian Inverse Wishart Cardinalized Probability Hypothesis Density (GGIW-CPHD) filter cannot accurately estimate the extended target shape and has a bad tracking performance under the condition of low SNR, a new generalized ...
Chi Luo-jia, Feng Xin-xi, Miao Lu
doaj +1 more source
Distributed joint target detection, tracking and classification via Bernoulli filter
This paper aims to solve the problem of distributed joint detection, tracking and classification (D‐JDTC) of a target on a peer‐to‐peer sensor network.
Gaiyou Li +5 more
doaj +1 more source
A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets
A multiple maneuvering target system can be viewed as a Jump Markov System (JMS) in the sense that the target movement can be modeled using different motion models where the transition between the motion models by a particular target follows a Markov chain probability rule.
Yuthika Punchihewa +2 more
openaire +4 more sources
Read the free Plain Language Summary for this article on the Journal blog. Abstract Functional traits are expected to predict vital rates and performance outcomes because they mediate how organisms interact with the environment. However, trait‐based models often have poor predictive power for tree species survival and growth.
Hannah J. Carle +6 more
wiley +1 more source
Novel Bayesian Track-Before-Detection for Drones Based VB-Multi-Bernoulli Filter and a GIGM Implementation [PDF]
Joint detection and tracking of drones is a challenging radar technology; especially estimating their states with unknown measurement variances. The Bayesian track-before-detect (TBD) approach is an efficient way to detect low observable targets. In this
I. M. Salim +2 more
doaj
This study shows how ecological transitions, such as reforestation in Southeast Asia, reshape host–microbe–pathogen dynamics at the wildlife–domestic interface. By integrating long‐read microbiome sequencing, ecological gradients, and statistical and network analysis, we identify host species that disproportionately contribute to pathogen diversity and
Pauline Van Leeuwen +9 more
wiley +1 more source

