Results 111 to 120 of about 23,694,558 (297)
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
PEMAHAMAN TEORI DATA WAREHOUSE BAGI MAHASISWA TAHUN AWAL JENJANG STRATA SATU BIDANG ILMU KOMPUTER
As a Computer scientist, a computer science students should have understanding about database theory as a concept of data maintenance. Database will be needed in every single human real life computer implementation such as information systems ...
Harco Leslie Hendric Spits Warnars +2 more
doaj
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
Discussion on Integration of Data Warehouse and Big Data
In view of the traditional enterprise couldn't use such unstructured data efficiently,a big data solutions based on integration of data warehouse and big data was discussed.Based on the theory of data warehouse construction and architecture of the next ...
Juan Yu
doaj +2 more sources
A PROPOSAL OF DATA QUALITY FOR DATA WAREHOUSES ENVIRONMENT
The quality of the data provided is critical to the success of data warehousing initiatives. There is strong evidence that many organisations have significant data quality problems, and that these have substantial social and economic impacts.
Leo Willyanto Santoso, Kartika Gunadi
doaj
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
DATA WAREHOUSE AND BUSINESS INTELLIGENCE STRATEGIES AND TRENDS [PDF]
In recent decades following the evolution of information technology, decision support systems have played an important role by presenting the necessary information resulted from the operational systems processes.
Ing. Codrin Popa Ph. D Student
core
Solução de Data Warehouse para possibilitar a análise estratégica integrada e distribuída dos indicadores de desempenho (IDS) do Estado de SC [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Produção.Os indicadores de desenvolvimento social, desenvolvidos pela Durb, visam oferecer uma visão da realidade local ...
Fanderuff, Damaris
core
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source

