An "exact" formula for the m-th Bernoulli number [PDF]
S. Chowla, P. Hartung
openalex +1 more source
We used drone‐based radiotelemetry and multispectral imagery to estimate detection and survival probabilities of blue‐winged teal broods in Saskatchewan, Canada. Weekly brood survival probabilities, estimated via Cormack‐Jolly‐Seber models, increased with age and were comparable between drone methods.
Grant A. Rhodes +5 more
wiley +1 more source
A Fully-Integrated Bayesian Approach for the Imputation and Analysis of Derived Outcome Variables With Missingness. [PDF]
Campbell H, Morris TP, Gustafson P.
europepmc +1 more source
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
FGO-PMB: A Factor Graph Optimized Poisson Multi-Bernoulli Filter for Accurate Online 3D Multi-Object Tracking. [PDF]
Jin J, Zhang J, Wang Y, Liu Y.
europepmc +1 more source
Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning
ABSTRACT Federated learning is a distributed framework that trains a centralised model using data from multiple clients without transferring that data to a central server. Despite rapid progress, federated learning still faces several unsolved challenges. Specifically, communication costs and system heterogeneity, such as nonidentical data distribution,
Jamshid Tursunboev +4 more
wiley +1 more source
Development of a multimodal fully automated ensemble model to predict EGFR mutation and efficacy of EGFR-TKI in non-small cell lung cancer. [PDF]
Xu S +10 more
europepmc +1 more source
The local dimensions of the Bernoulli convolution associated with the golden number [PDF]
Tian-You Hu
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AVCLNet: Multimodal Multispeaker Tracking Network Using Audio‐Visual Contrastive Learning
ABSTRACT Audio‐visual speaker tracking aims to determine the locations of multiple speakers in the scene by leveraging signals captured from multisensor platforms. Multimodal fusion methods can improve both the accuracy and robustness of speaker tracking.
Yihan Li +5 more
wiley +1 more source

