Results 91 to 100 of about 287,004 (330)
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
SISTEM DATA WAREHOUSE PADA RUMAH SAKIT HUSADA [PDF]
SISTEM DATA WAREHOUSE PADA RUMAH SAKIT HUSADA - data warehouse, skema bintang, metadata ...
HAM, KAISAR +2 more
core
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
The purpose of this study is to analyze sales data from warehouse to distributors, identification of distributor status, and extension periods of active distributors.
Gredion Prajena
doaj +1 more source
ANALISIS DAN PERANCANGAN DATA WAREHOUSE PADA PT. HCN [PDF]
ANALISIS DAN PERANCANGAN DATA WAREHOUSE PADA PT.
CHRISTANTY WARDANA, CHRISTY +2 more
core
Using Clinical Data Warehouse to Optimize the Vaccination Strategy Against COVID-19: A Use Case in France [PDF]
Julien Grosjean +4 more
openalex +1 more source
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley +1 more source
Context-based Data Quality Metrics in Data Warehouse Systems
The fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have ...
Flavia Serra, Adriana Marotta
doaj +1 more source

