Results 61 to 70 of about 130,593 (297)
Advanced Intelligent Discovery, EarlyView.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
Advanced Intelligent Discovery, EarlyView.A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque +7 more
wiley +1 more source
Multi-Level Mining of Association Rules from Warehouse Schema
Kuwait Journal of Science, 2017 The integration of data mining techniques with data warehousing is becoming an interesting domain. The reason behind this popularity is the ability to extract knowledge from large data sets.
Muhammad Usman, Muhammad Usman
doaj
The impact of economic and supply chain trends on British warehousing [PDF]
, 2011 Purpose: Warehouses are key nodes in many supply chains and typically represent over 20% of logistics costs. However, other than property market studies, there has been relatively little research on warehousing, particularly as regards how trends in ...
Baker, Peter, Sleeman, Jon
core
A general multivariate latent growth model with applications in student careers Data warehouses
, 2009 The evaluation of the formative process in the University system has been assuming an ever increasing importance in the European countries. Within this context the analysis of student performance and capabilities plays a fundamental role. In this work we
Bartholomew D. J. +6 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Harnessing the Power of Scientific Data Warehouses [PDF]
Journal of Systemics, Cybernetics and Informatics, 2005 Data warehousing architecture should generally protect the confidentiality of data before it can be published, provide sufficient granularity to enable scientists to variously manipulate data, support robust metadata services, and define standardized ...
Kevin Deeb
doaj
Goal oriented requirements engineering in data warehouses: A comparative study
Ingeniería e Investigación, 2014 Data warehouses provide historical information about the organization that needs to be analyzed by the decision makers; therefore, it is essential to develop them in the context of a strategic business plan.
Ania Cravero Leal +4 more
doaj +1 more source
Information Dense and Industry Scalable Accelerated Formation
Advanced Intelligent Discovery, EarlyView.Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 more
wiley +1 more source
Data Science Driven Analysis of the Impact of COVID-19 [PDF]
Database Systems JournalIn the context of a pandemic that emerged with lightning speed, data science has become a cornerstone for governments decision-making processes. By analyzing numerous centralized databases, researchers have been able to identify trends, the spread of the
Serban Gabriel TIMOFTE +4 more
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