Results 61 to 70 of about 131,054 (221)

Dried biofluid droplet morphologies for automated and scalable disease classification

Droplet, EarlyView.
For the first time, disease‐specific fingerprints of diabetes and influenza are revealed from dried biofluid droplet morphologies. Using automated droplet detection, texture analysis, and interpretable machine learning, this scalable workflow transforms endpoint droplet patterns into diagnostic biomarkers for point‐of‐care healthcare applications ...
Anusuya Pal, Piyush Thakur, Amalesh Gope, Ryuta Uraki, Kawaoka Yoshihiro, Miho Yanagisawa   +5 more
wiley   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Probabilistic Machine Learning Using Bayesian Inference

Undergraduate Journal of Mathematical Modeling: One + Two, 2020
Machine Learning is a branch of AI (Artificial Intelligence) which expands on the idea of a computational system extending its knowledge about set methodical behaviors from the data that is fed to it to essentially develop analytical skills that can help
Mayank Pandey
doaj   +1 more source

Bayesian Probabilities and the Histories Algebra

, 2006
We attempt a justification of a generalisation of the consistent histories programme using a notion of probability that is valid for all complete sets of history propositions.
A. Caticha, A. Caticha, C. Anastopoulos, C. J. Isham, J. B. Hartle, P. G. L. Mana, R. B. Griffiths, R. Omnés, S. Goldstein, S. Youssef, Thomas Marlow   +10 more
core   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization

Mathematics
The effective resolution of constrained multi-objective optimization problems (CMOPs) requires a delicate balance between maximizing objectives and satisfying constraints.
Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi   +3 more
doaj   +1 more source

An application of Bayes’ theorem to a problem of Cultural astronomy interest [PDF]

Cultural Heritage and Modern Technologies
In this paper, an elliptical enclosure, found at Piani d’Avaro (Bergamo Province, Lombardy, Northern Italy) was examined from an astronomical point of view.
Adriano Gaspani, Stefano Spagocci
doaj   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Bayesian Learning and Autoregressive Persistence: Adaptive Forecasting of the Dow Jones Industrial Average (2022–2025) [PDF]

Revista de Studii Financiare
Financial markets operate as dynamic systems in which information and volatility interact continuously, challenging traditional forecasting models based on fixed historical patterns.
George Cristian Gruia, Ioana Duca, Anca Postole   +2 more
doaj   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

Geological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi, Ting Liu, Toshiro Hata, Rebecca Muenich   +3 more
wiley   +1 more source