Results 91 to 100 of about 24,203,637 (299)
Advanced Intelligent Discovery, EarlyView.A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen +2 more
wiley +1 more source
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
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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
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
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
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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
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Advanced Intelligent Discovery, EarlyView.Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 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