51 to 60 of 3,411 Results
Apr 22, 2026 -
Integration of augmented reality and artificial intelligence in assemblies of do-it-yourself furniture
MS Word - 84.4 KB -
MD5: 011675e4e87f286515860e0b2ef815e4
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Apr 22, 2026 -
Integration of augmented reality and artificial intelligence in assemblies of do-it-yourself furniture
Tabular Data - 5.3 KB - 22 Variables, 50 Observations - UNF:6:Immo9w1+3Ixwm0I/dx4oyA==
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Apr 22, 2026 -
Integration of augmented reality and artificial intelligence in assemblies of do-it-yourself furniture
Tabular Data - 3.4 KB - 7 Variables, 41 Observations - UNF:6:Hxc5kqtalbcjBqajVZykfg==
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Apr 22, 2026 -
Integration of augmented reality and artificial intelligence in assemblies of do-it-yourself furniture
Plain Text - 4.0 KB -
MD5: 57b73ff85d88eb013faf06a5b88e63df
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Apr 22, 2026 -
Integration of augmented reality and artificial intelligence in assemblies of do-it-yourself furniture
Comma Separated Values - 52.8 KB -
MD5: 13384f71ac97184282a332f556f2c396
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Apr 22, 2026 -
Integration of augmented reality and artificial intelligence in assemblies of do-it-yourself furniture
application/x-research-info-systems - 54.3 KB -
MD5: b665b163f46f080888686bfed16a3e47
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Apr 22, 2026 -
Integration of augmented reality and artificial intelligence in assemblies of do-it-yourself furniture
Comma Separated Values - 8.3 KB -
MD5: 32f53fec0f6fb5427d63c5450836bc13
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Apr 17, 2026 -
Python script for CIELab color analysis of food images
Python Source Code - 19.6 KB -
MD5: 52555e379634dcd1629204f95717b307
Updated the color difference calculation function to use the CIEDE2000 (∆E00) method, which is more accurate than the previous CIEDE76 (∆E76) model. |
Apr 17, 2026 -
Eugenia gracillima Kiaersk. (Myrtaceae) pulp: composition, stability, and food application as a natural colorant
Comma Separated Values - 25.0 KB -
MD5: 67d4c2777392bf9b6ab39a6b0b46d626
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Apr 14, 2026 -
Dados de inventário para ACV de edificações e resultados de benchmarks de emissões incorporadas por composição construtiva
MS Excel Spreadsheet - 37.4 KB -
MD5: c3975bd06389e584077ad133b71e6b61
O arquivo contém: Aspectos de modelagem da ACV de edificações; Lista das composições construtivas selecionadas do SINAPI; Informações de inventário; Resultados de emissões incorporadas totais para cada composição construtiva. |
