Results 71 to 80 of about 271,268 (295)

The IBM data warehouse architecture [PDF]

, 1998
Charles J. Bontempo, George Zagelow
openalex   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
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

Industrial-strength data warehousing [PDF]

, 1998
Arun Sen, Varghese S. Jacob
openalex   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
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, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Solutions for decision support in university management [PDF]

The paper proposes an overview of decision support systems in order to define the role of a system to assist decision in university management. The authors present new technologies and the basic concepts of multidimensional data analysis using models of ...
Andrei STANCIU, Cristina RADULESCU, Mihai FLORIN, Ofelia ALECA   +3 more
core  

Data warehousing alternatives for mobile environments [PDF]

, 1999
Ioana Stanoi, Divyakant Agrawal, Amr El Abbadi, S.H. Phatak, B. R. Badrinath   +4 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
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

Improving the performance of lineage tracing in data warehouse [PDF]

, 1999
Satyadeep Patnaik, Marshall Meier, Brian E. Henderson, J. R. Hickman, Brajendra Panda   +4 more
openalex   +1 more source

Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features

Advanced Intelligent Discovery, EarlyView.
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar, Sophia Buttny, Célia Sahli, Kenry   +3 more
wiley   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
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