Results 51 to 60 of about 35,332 (261)
Data Tarn: A New Approach for Management and Real-Time Analyses of Big Data [PDF]
By increasing the speed of data generation, need to process, store and analyze of Big Data becomes increasing. Related work has been done to create real-time data warehouse, but according to current unstructured data in Big Data, data warehouse with the ...
Saman Keshvari +2 more
doaj +1 more source
U.S. Consumer Preferences for Cage‐Free Eggs and Hen Housing Policies
ABSTRACT Farm animal welfare (FAW) continues to be a divisive issue in the egg industry. In the United States, 10 states and most major retailers have implemented policies or voluntary pledges to transition to 100% cage‐free egg sales. We use best‐worst scaling and discrete choice experiments to evaluate U.S.
Vincenzina Caputo +3 more
wiley +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
THE DEVELOPMENT OF THE APPLICATION OF A DATA WAREHOUSE AT PT JKL
One rapidly evolving technology today is information technology, which can help decision-making in an organization or a company. The data warehouse is one form of information technology that supports those needs, as one of the right solutions for ...
Choirul Huda +3 more
doaj +1 more source
Adaptive Data Warehouse as the Technological basis of the banking Ecosystem
New guidelines of omnichannel and ecosystem are emerging driven by modern digital transformation of the banking business. To improve customer experience of interaction with banking services more banks are switching to the omnichannel model. In this model,
E. V. Vasilieva +2 more
doaj +1 more source
In the early stages of a data warehouse project, the designers/administrators have to come up with a decision concerning the design and deployment of the back-stage architecture. The possible options are (a) the usage of a commercial ETL tool, or (b) the development of an in-house ETL prototype. Both cases have advantages and disadvantages. However, in
Simitsis, Alkis +3 more
openaire +3 more sources
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
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
'Shared-Nothing' Cloud Data Warehouse Architecture [PDF]
Energy management systems from Romania do not have the capabilities of energy specific management due to lack of technology for real-time monitoring. As was the case in many other countries, the advent of smart metering technology will increase the level
Janina POPEANGA
doaj
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source

