Results 91 to 100 of about 131,180 (321)
SINTECH (Science and Information Technology) Journal, 2019 This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists.
Rikardo Chandra +2 more
doaj +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
Med Research, EarlyView.The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Expert System for Diagnosing Diseases in Children Using the Bayes Theorem Method
, 2023 Sri Hariani
openalex +2 more sources
Analyzing the ‘Bradykinesia Complex’ in Parkinson's Disease
Movement Disorders, EarlyView.Abstract Background Bradykinesia is the hallmark sign of parkinsonism. We recently proposed redefining bradykinesia as a complex of motor abnormalities, each reflecting separate pathophysiological elements. Objective To analyze the ‘bradykinesia complex’ in Parkinson's disease (PD) and healthy elderly individuals.
Giulia Paparella +9 more
wiley +1 more source
선진국방연구, 2019 This research proposes a new framework on reliability assessments of stored ammunition stocks. Many previous studies on reliability assessments are based on the correlation between the content of residual stabilizer and the year of manufacturing. However,
Namsu Ahn +3 more
doaj +1 more source
Consistency of Bayes factor for nonnested model selection when the model dimension grows
, 2016 Zellner's $g$-prior is a popular prior choice for the model selection problems in the context of normal regression models. Wang and Sun [J. Statist. Plann.
Maruyama, Yuzo, Wang, Min
core +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Bayesian Neural Network Prediction and Uncertainty Analysis of Bio‐Cemented Soil Strength
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT Microbially induced carbonate precipitation (MICP) has emerged as a promising ground improvement technique, with MICP‐treated soils exhibiting substantial enhancements in strength. However, experimental results revealed significant variability in strength outcomes of MICP‐treated soils, even under identical treatment conditions and soil ...
Aoxi Zhang +4 more
wiley +1 more source
NumeracyTom Chivers’ Everything is Predictable: How Bayesian Statistics Explain Our World, is an interesting and wide-ranging narrative on Bayesian thinking, its history, and its applicability to both our everyday lives and the pursuit of scientific truth ...
Michael Catalano
doaj +1 more source
A Web Simulator to Assist in the Teaching of Bayes’ Theorem
Journal of Statistics Education, 2019 Teaching some concepts in statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have written a simulator based on an historical event: the loss in May 22, 1968 ...
M. J. Bárcena +4 more
doaj +1 more source