Results 61 to 70 of about 24,203,637 (299)

Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion

open access: yesAdvanced 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

Pembentukan Data Mart Menggunakan Metode Generalization

open access: yesLontar Komputer, 2016
Technology today causing the data needs of an agency or company to process the data or analyze data quickly, dense and higher. Companies or institutions want the data analysis process can save time as much as possible.
I Gede Sugita Aryandana   +2 more
doaj   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

open access: yesAdvanced 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

Information Dense and Industry Scalable Accelerated Formation

open access: yesAdvanced 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

Enfoque MDA para el diseño de un data warehouse difuso A model driven approach for fuzzy data warehouse design

open access: yesIngeniare: Revista Chilena de Ingeniería, 2012
Un data warehouse (DW) es un repositorio de datos que provienen de distintas fuentes. Es un sistema para el análisis de datos usado para el apoyo a la toma de decisiones.
Carolina Zambrano Matamala   +2 more
doaj  

Model Basis Data dan Implementasinya Dalam Menunjang Pembuatan Data Warehouse Pada Sistem Manajemen Koleksi Museum

open access: yesJurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 2016
Tujuan penelitian ini adalah untuk menganalisis dan merancang data warehouse pada Sistem Manajemen Koleksi Museum dan membuat laporan yang mendukung penggunaan data warehouse museum di Indonesia.
- Wasino, Bagus Mulyawan, - Indrajani
doaj   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Current data warehousing and OLAP technologies’ status applied to spatial databases

open access: yesIngeniería e Investigación, 2007
Organisations require their information on a timely, dynamic, friendly, centralised and easy-to-access basis for analysing it and taking correct decisions at the right time. Centralisation can be achieved with data warehouse technology.
Diego Orlando Abril Fradel   +1 more
doaj  

'Shared-Nothing' Cloud Data Warehouse Architecture [PDF]

open access: yesDatabase Systems Journal, 2015
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  

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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