Results 141 to 150 of about 523,565 (314)

Bayesian networks

, 2011
Antonino Freno, Edmondo Trentin
openaire   +4 more sources

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Correction: Minimum uncertainty as Bayesian network model selection principle. [PDF]

BMC Bioinformatics
Gogoshin G, Rodin AS.
europepmc   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

Comparative Efficacy of Exercise Interventions for Anxiety Disorders: A Bayesian Network Meta-Analysis. [PDF]

Psychol Res Behav Manag
Liu J, Wang H, Lan Y, Yuan D, Du B, Zhou Y, Zhang W, Ke XW, Jiang Q, Wang F, Cao S, Sun J.   +11 more
europepmc   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

BCTI: a Bayesian network-based method for revealing critical transitions in complex biological systems. [PDF]

PeerJ
Tong Y, Hong R, Yang N, Chen P, Peng H, Tang H, Liu R.   +6 more
europepmc   +1 more source

The Water Deficits Prediction of SC and NC by Bayesian Network [PDF]

, 2016
Yilin Li
openalex   +1 more source

Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting [PDF]

, 2020
Adam D. Cobb, Brian Jalaian
openalex   +1 more source