Results 171 to 180 of about 23,325 (286)

An Explainable Markov Chain-Machine Learning Sequential-Aware Anomaly Detection Framework for Industrial IoT Systems Based on OPC UA. [PDF]

Sensors (Basel)
Ghazi Y, Tabaa M, Ennaji M, Zaz G.
europepmc   +1 more source

On Integral Priors for Multiple Comparison in Bayesian Model Selection

International Statistical Review, EarlyView.
Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón, Juan Antonio Cano, Christian P. Robert   +2 more
wiley   +1 more source

Learning Covariate Relations in Disease Progression Models Using Symbolic Neural Networks. [PDF]

CPT Pharmacometrics Syst Pharmacol
Sundell J, Wahlquist Y, Kjellsson MC, Karlsson MO, Soltesz K.   +4 more
europepmc   +1 more source

Thermal Thresholds and Genetic Sensitivity in Barrel Racing Performance of Quarter Horses Across Temperature–Humidity Indices

Journal of Animal Breeding and Genetics, EarlyView.
ABSTRACT Heat stress is an increasingly important challenge for the performance and welfare of equine athletes, particularly in competitions conducted across diverse climatic conditions. Understanding the genetic basis of performance responses to increasing thermal load is therefore essential to support robust genetic evaluation and sustainable ...
Mário Luiz Santana, Annaiza Braga Bignardi   +1 more
wiley   +1 more source

Conformational Dynamics of Na⁺-Pumping NADH-Quinone Oxidoreductase during Na⁺ Translocation from AlphaFold-Facilitated Markov State Modeling. [PDF]

J Chem Inf Model
Seki T, Ohnuki J, Okazaki KI.
europepmc   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

Coclique level structure for stochastic chemical reaction networks. [PDF]

J Math Biol
Bruno S, Fu Y, Campos FA, Del Vecchio D, Williams RJ.   +4 more
europepmc   +1 more source

Mixing It Up: Inflation at Risk

Journal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source

Addressing lightning and market uncertainties in self-scheduling: A fuzzy-markov approach for smart grids. [PDF]

Sci Rep
Benistan IS, Shahbazzadeh MJ, Eslami M.
europepmc   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source