Results 191 to 200 of about 288,297 (331)
Newsminer: a data warehouse system based on news websites
Rodrigo do Rosario Nogueira
openalex +1 more source
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
Snowflake Data Warehouse for Large-Scale and Diverse Biological Data Management and Analysis. [PDF]
Koreeda T, Honda H, Onami JI.
europepmc +1 more source
A Clinical Data Warehouse Analysis of Risk Factors for Inpatient Falls in a Tertiary Hospital: A Case-Control Study. [PDF]
Kwon E, Chang SJ, Kwon M.
europepmc +1 more source
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
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse. [PDF]
Baum L +13 more
europepmc +1 more source
Amoxicillin-Induced Neurotoxicity: Contribution of a Healthcare Data Warehouse to the Determination of a Toxic Concentration Threshold. [PDF]
Lalanne S +7 more
europepmc +1 more source
BioDWH: A Data Warehouse Kit for Life Science Data Integration
Thoralf Töpel +3 more
openalex +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
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

