Results 191 to 200 of about 282,298 (328)
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data. [PDF]
Cheng-Zarate D +6 more
europepmc +1 more source
Research data warehouse: using electronic health records to conduct population-based observational studies. [PDF]
Chen W +8 more
europepmc +1 more source
Analisis Dan Perancangan Data Warehouse Sebagai Alat Untuk Monitoring Jalannya Proses Bisnis
Sutiyono Sutiyono, Didi Rosiyadi
openalex +2 more sources
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Retrospective analysis of US veterans with inclusion body myositis: initial findings from the Veterans Affairs Corporate Data Warehouse. [PDF]
Liarski VM.
europepmc +1 more source
Accessing and utilizing clinical and genomic data from an electronic health record data warehouse. [PDF]
Arnold CG +8 more
europepmc +1 more source
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source

