Results 111 to 120 of about 21,629,133 (329)

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

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, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Desain Sistem Semantic Data Warehouse dengan Metode Ontology dan Rule Based untuk Mengolah Data Akademik Universitas XYZ di Bali

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, Made Sudarma, I Nyoman Satya Kumara   +2 more
doaj  

Solutions for decision support in university management [PDF]

The paper proposes an overview of decision support systems in order to define the role of a system to assist decision in university management. The authors present new technologies and the basic concepts of multidimensional data analysis using models of ...
Andrei STANCIU, Cristina RADULESCU, Mihai FLORIN, Ofelia ALECA   +3 more
core  

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, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Improving the performance of lineage tracing in data warehouse [PDF]

, 1999
Satyadeep Patnaik, Marshall Meier, Brian E. Henderson, J. R. Hickman, Brajendra Panda   +4 more
openalex   +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, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Genome Warehouse: A Public Repository Housing Genome-scale Data

bioRxiv, 2021
Meili Chen, Yingke Ma, Song Wu, Xinchang Zheng, Hongen Kang, Jian Sang, Xingjian Xu, Lili Hao, Zhaohua Li, Zheng Gong, Jingfa Xiao, Zhang Zhang, Wenming Zhao, Yīmíng Bào   +13 more
semanticscholar   +1 more source

Data Warehouse

Data Mining and Data Warehousing, 2019
Min-Yuh Day
semanticscholar   +3 more sources

A PROPOSAL OF DATA QUALITY FOR DATA WAREHOUSES ENVIRONMENT

Jurnal Informatika, 2006
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  

DATA WAREHOUSE AND DATA MINING - DATABASES NEXT STEP [PDF]

Annals of the University of Oradea: Economic Science, 2010
Data Warehouses and Data Mining are indispensable and inseparable parts for modern organization. Organizations will create data warehouses in order for them to be used by business executives to take important decisions.
BURTESCU Claudia, BURTESCU Emil
doaj