Results 81 to 90 of about 36,481,271 (303)
, 1999 Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are common in many applications.
Villafane, Roy, Hua, Kien A., Tran, Duc
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Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
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The contribution of data mining to information science [PDF]
, 2004 The information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of the solutions to face this challenge.
Liu, X +3 more
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Harnessing Phase Separation for the Development of High‐Performance Hydrogels
Advanced Science, EarlyView.ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
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Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Research on Domain-Driven Time Series Data Mining Techniques
, 2012 計畫編號：NSC100-2221-E032-065 研究期間：20110801~20120731 研究經費：450,000時間序列是指每隔一定時間將所觀察的目標記錄而成的資料。故在日常生活中， 有許多現象都可以視為時間序列資料，因此，在時間序列上亦發展了許多不同的研究 議題與成果。然而，現有的演算法皆屬於資料衍生的時間序列資料探勘技術，而其主 要缺點即是探勘後的資訊皆需經過專家進一步分析後方能運用。所以，近幾年興起了 領域衍生的資料探勘概念。可惜的是，截至目前為止，所有的時間序列探勘文獻都屬 ...
陳俊豪
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Advanced Science, EarlyView.Cross‐disciplinary endeavors are blossoming across the broad chemical sciences. This perspective provides a glimpse into the rewarding interdisciplinary journey taken by the Charles Loh research group in pioneering the σ‐hole based catalytic glycosylation strategy.
Charles C. J. Loh
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Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction
Advanced Science, EarlyView.Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen +5 more
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Unveiling the Taxonomic Diversity and Unprecedented Biosynthetic Treasure of the Phylum Myxococcota
Advanced Science, EarlyView.Natural products remain vital sources of therapeutics, and the phylum Myxococcota constitutes an especially rich reservoir for them. Based on decades of microbiological efforts, we present 154 new Myxococcota genomes and revise taxonomy quadrupling the number of families and genera.
Amay Ajaykumar Agrawal +25 more
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Carbon footprint forecasting using time series data mining methods: the case of Turkey. [PDF]
Environ Sci Pollut Res Int, 2021 Akyol M, Uçar E.
europepmc +1 more source