Results 61 to 70 of about 3,081,373 (191)

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

Trait variation driven by tree size more than environment and shows limited translation to species vital rates

Functional Ecology, EarlyView.
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, Timothée Bonnett, Adrienne B. Nicotra, Elia Godoong, Andrew Hector, Patrick Meir, Michael J. O'Brien   +6 more
wiley   +1 more source

Improved multi-target tracking algorithm based on SMC-CBMeMBer for the airborne Doppler radar

The Journal of Engineering, 2019
To effectively suppress clutter in airborne Doppler radar and improve multi-target tracking (MTT) performance, this study proposes an improved MTT algorithm based on Sequential Monte Carlo Cardinality Balanced Multi-target Multi-Bernoulli (SMC-CBMeMBer ...
Muyang Luo, Hemin Sun, Weihua Wu, Xin Xie, Surong Jiang   +4 more
doaj   +1 more source

Marginal Distribution Multi-Target Bayes Filter With Assignment of Measurements

IEEE Access, 2020
This work proposes a marginal distribution multi-target Bayes filter with assignment of measurements to track multiple targets in the presence of an unknown and variable number of targets, clutter, and missed detections.
Zong-Xiang Liu, Mian Wu, Jie Gan
doaj   +1 more source

Student’s t-Based Robust Poisson Multi-Bernoulli Mixture Filter under Heavy-Tailed Process and Measurement Noises

Remote Sensing, 2023
A novel Student’s t-based robust Poisson multi-Bernoulli mixture (PMBM) filter is proposed to effectively perform multi-target tracking under heavy-tailed process and measurement noises.
Jiangbo Zhu, Weixin Xie, Zongxiang Liu
doaj   +1 more source

Maximizing eDNA detections of rare marine organisms: A case study of a delphinid species

Methods in Ecology and Evolution, EarlyView.
Abstract Environmental DNA (eDNA) is an emerging tool for surveying marine organisms. Advances in molecular assay designs and bioinformatic methods provide new opportunities for detecting rare species; however, overcoming methodological challenges of rare species detection remains an important obstacle for the widespread deployment of eDNA methods for ...
Nastassia V. Patin, Eiren K. Jacobson, Zachary Gold, Amy M. Van Cise, Julie Dinasquet, Bryce Ellman, Robert H. Lampe, Anne Schulberg, Noelle Bowlin, Ryan Freedman, Erin Satterthwaite, Andrew E. Allen, Brice X. Semmens   +12 more
wiley   +1 more source

Multiple Model Multi-Bernoulli Filters for Manoeuvering Targets

IEEE Transactions on Aerospace and Electronic Systems, 2013
The cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter is a recursive, multitarget tracking mechanism based on the random finite set (RFS) theory using the finite set statistics (FISST) framework. It provides an estimate of the number of targets in a given scenario space, along with the most likely locations of those targets.
Darcy Dunne, Thia Kirubarajan
openaire   +2 more sources

Amplitude information based robust tracking method for multiple marine targets

Tongxin xuebao, 2019
A robust multi-Bernoulli filter based on the amplitude information of the target in sea clutter was proposed,in which the amplitude information of the target and sea clutter was exploited to improve the measurement likelihood.Therefore,the proposed ...
Chao LIU, Zhiguo ZHANG, Jinping SUN
doaj   +2 more sources

Novel Bayesian Track-Before-Detection for Drones Based VB-Multi-Bernoulli Filter and a GIGM Implementation [PDF]

Radioengineering, 2020
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, M. Barbary, M. H. Abd El-azeem   +2 more
doaj  

A comparison of clustering approaches to create sites for occupancy models from opportunistic biodiversity surveys

Methods in Ecology and Evolution, EarlyView.
Abstract Opportunistic surveys, such as those archived by citizen science biodiversity inventory programs, can provide species observations over large spans of space and time. Like most biodiversity data, opportunistic reports suffer from imperfect detection of organisms, which can distort species distribution models used for science and natural ...
Nahian Ahmed, Mark Roth, Tyler A. Hallman, W. Douglas Robinson, Rebecca A. Hutchinson   +4 more
wiley   +1 more source