Results 161 to 170 of about 125,648 (258)

Bayesian and non-Bayesian estimation of the bivariate inverse Weibull distribution parameters using ranked set sampling with concomitant variable. [PDF]

Sci Rep
Muhammed HZ, Shaaban M.
europepmc   +1 more source

Linking microscopy to diffusion MRI with degenerate biophysical models: An application of the Bayesian EstimatioN of CHange (BENCH) framework. [PDF]

Imaging Neurosci (Camb)
Kor DZL, Rafipoor H, Huszar IN, Smart A, Daubney G, Jbabdi S, Cottaar M, Miller KL, Howard AFD.   +8 more
europepmc   +2 more sources

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Bayesian Estimation of Partial Functional Tobit Censored Quantile Regression Model. [PDF]

Stat Med
Wang C, Lu Z, Wang C, Song X.
europepmc   +1 more source

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

Advanced Electronic Materials, EarlyView.
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti, K. Nikiruy, A.S. Demirkol, Alon Ascoli, M. Ziegler, R. Tetzlaff, Fernando Corinto   +6 more
wiley   +1 more source

Comparing Bayesian estimation and structural-after-measurement approaches for structural equation models with latent interactions and complex data structures. [PDF]

Behav Res Methods
Cox K, Kelcey B.
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

The dynamic growth of bacterial cultures: real-time Bayesian estimation of substrate uptake rates in fed-batch fermentations of E. coli. [PDF]

Bioprocess Biosyst Eng
Ibaceta M, Neudert MR, Marques N, Kahrer S, Herwig C, Steinboeck A.   +5 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Bayesian Estimation of True Prevalence and Associated Risk Factors for Leptospira spp. Among Slaughterhouse Workers and Slaughtered Cattle in the Bahr El Ghazal Region of South Sudan. [PDF]

Zoonoses Public Health
Onafruo D, Klein J, Kostoulas P, Erume J, Kokas I, Jubara A, Sánchez Romano J, Odoch T, Kitale E, Marin P, Sabbath E, Kankya C.   +11 more
europepmc   +1 more source