№ files_lp_3_process_7_054175
Literature review examining the intersection of ceramics manufacturing and data science, analyzing machine learning, regression, and data extraction approaches to support sustainability and decarbonization in the ceramics industry.
Title: Ceramics Research Done Smartly: Accelerating the Transition to Sustainable Ceramics
Type of document: Literature review
Subject: Sustainable ceramics and data science integration
Keywords: Ceramics, Sustainability, Data Science, Machine Learning, Deep Learning, Large Language Model, Regression, Data Extraction
Industry focus: Ceramics manufacturing industry
Geographical reference: Europe
Referenced organization: European Ceramic Industry Association
Referenced publication: Ceramic Roadmap to 2050
Year of referenced roadmap: 2021
Environmental focus: CO2 emissions and decarbonization
Industrial processes covered: Mining, transportation, milling, mixing, drying, firing, finishing
Technological focus: Database creation, machine learning models, regression methods, data extraction techniques
Scope: Broadly applicable procedures across ceramic materials
Objective: Evaluation of data science approaches to enhance sustainability in ceramics
Target audience: Researchers in data science and sustainable ceramics
Price: 8 / 10 USD
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