Results 101 to 110 of about 288,297 (331)
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
Advanced Intelligent Discovery, EarlyView.A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
Advanced Intelligent Discovery, EarlyView.This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
Advanced Intelligent Discovery, EarlyView.We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
wiley +1 more source
Drilling Material Data Warehouse ETL System Research Based on Crowd-Sourcing
MATEC Web of Conferences, 2018 Drilling material data warehouse is an important platform for assisting drilling engineering decision support and data analysis. The construction of high-efficiency and high-quality enterprise-level data warehouse puts high requirements on data quality ...
Zhou Jie, Fang Ming, Cao Xin-ran
doaj +1 more source
Improving a full-text search engine: the importance of negation detection and family history context to identify cases in a biomedical data warehouse [PDF]
, 2016 Nicolas Garcelon +4 more
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar +3 more
wiley +1 more source
Discussion on Integration of Data Warehouse and Big Data
Dianxin kexue, 2015 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
Majalah Ilmiah Teknologi Elektro, 2016 Data warehouse pada umumnya yang sering dikenal data warehouse tradisional mempunyai beberapa kelemahan yang mengakibatkan kualitas data yang dihasilkan tidak spesifik dan efektif.
Made Pradnyana Ambara +2 more
doaj
Advanced Intelligent Discovery, EarlyView.A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source