Results 151 to 160 of about 139,337 (213)
An Explainable Markov Chain-Machine Learning Sequential-Aware Anomaly Detection Framework for Industrial IoT Systems Based on OPC UA. [PDF]
Ghazi Y, Tabaa M, Ennaji M, Zaz G.
europepmc +1 more source
Mortality Forecasting Using Variational Inference
ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley +1 more source
Bayesian Image Analysis in Fourier Space. [PDF]
Kornak J, Young K, Friedman E, Bakas K.
europepmc +1 more source
ABSTRACT Fungal pathogens pose a growing threat to vertebrate biodiversity. In snakes, Ophidiomyces ophidiicola (Oo) has garnered particular concern, although its impact in Europe remains poorly understood. We conducted a season‐long, standardized survey of dice snakes (Natrix tessellata) along the northern shore of Lake Como (Italy) to quantify Oo and
Matteo Riccardo Di Nicola +8 more
wiley +1 more source
Dynamic Functional Connectivity, Major Depression, and Suicidal Ideation in Children. [PDF]
Wanger TJ +11 more
europepmc +1 more source
ABSTRACT Percutaneous transhepatic biliary drainage (PTBD) catheter placement is known to have a high readmission rate. This work focuses on monitoring the change in readmission rate after a new clinical paradigm for post‐procedural care is implemented for the PTBD procedures.
Muhammed Aljifri +2 more
wiley +1 more source
Testing Hypotheses of Covariate Effects on Topics of Discourse
ABSTRACT We introduce an approach to topic modeling with document‐level covariates that remains tractable in the face of large text corpora. This is achieved by de‐emphasizing the role of parameter estimation in an underlying probabilistic model, assuming instead that the data come from a fixed but unknown distribution whose statistical functionals are
Gabriel Phelan, David A. Campbell
wiley +1 more source
Power Control in Wireless Body Area Networks: A Review of Mechanisms, Challenges, and Future Directions. [PDF]
Su H, Zhao Z, Gu B, Lin S.
europepmc +1 more source
Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification
ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry +2 more
wiley +1 more source

