Results 251 to 260 of about 2,504,885 (377)
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
Modelling of queuing systems using blockchain based on Markov process for smart healthcare systems. [PDF]
Siddiqui S+5 more
europepmc +1 more source
Compacting Transactional Data in Hybrid OLTP & OLAP Databases
Florian Funke+2 more
openalex +2 more sources
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
A hybrid AI-Blockchain security framework for smart grids. [PDF]
Ghadi YY+6 more
europepmc +1 more source
SUSPICIOUS TRANSACTION IDENTIFICATION AND RECOVERY IN CASSANDRA DATABASE
Rupali Chopade+4 more
openalex +2 more sources
Application of Incremental Mining and Apriori Algorithm on Library Transactional Database
Gunjan Mehta, Deepa Sharma, Ekta Chauhan
openalex +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz+2 more
wiley +1 more source
A collaborative data storage with incentive mechanism for blockchain-based IoV. [PDF]
Shi Q, Wang L, Chen C.
europepmc +1 more source