Results 121 to 130 of about 23,652 (302)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced 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
wiley   +1 more source

Fast frequent pattern mining. [PDF]

open access: yes, 2003
Yabo Xu.Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.Includes bibliographical references (leaves 57-60).Abstracts in English and Chinese.Abstract --- p.iAcknowledgement --- p.iiiChapter 1 --- Introduction --- p.1Chapter 1.1 --- Frequent ...

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Achieving High‐Density and Stress‐Resilient Maize Breeding Via Germplasm Innovation

open access: yesAdvanced Science, EarlyView.
Global population growth and climate change have exacerbated the global food crisis. This perspective presents a conceptual framework focusing on enhancing population advantages. Several novel breeding objectives are proposed to improve density tolerance and stress resistance for yield improvement.
Xinlong Li   +9 more
wiley   +1 more source

Anomaly Detection Based on Frequent Pattern Mining in Smart Home Devices

open access: yesIEEE Access
As the rapid development of the Internet of Things (IoT) continues, smart homes, which install, connect, and monitor smart devices, are becoming increasingly prominent.
Minh-Hoang Ngo   +4 more
doaj   +1 more source

Graph-based discovery of ontology change patterns [PDF]

open access: yes, 2011
Ontologies can support a variety of purposes, ranging from capturing conceptual knowledge to the organisation of digital content and information. However, information systems are always subject to change and ontology change management can pose challenges.
Abgaz, Yalemisew   +3 more
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Harnessing Phase Separation for the Development of High‐Performance Hydrogels

open access: yesAdvanced 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
wiley   +1 more source

Carbon Interlayer with Uniformly Anchored ZnO Nanoparticles: Surface‐Energy‐Driven Coble Creep for Practical Anode‐Free Solid‐State Batteries

open access: yesAdvanced Science, EarlyView.
We used a zinc oxide–carbon composite interlayer (ZnO@C) via the electron‐beam (e‐beam) irradiation method to fabricate a cost‐effective, high‐energy‐density, anode‐free solid‐state battery. Chemical anchoring between the ZnO and carbon enabled uniform nanoscale morphology, mitigating the high surface energy of the ZnO NPs.
Joonhyeok Park   +16 more
wiley   +1 more source

ANALISIS DAN IMPLEMENTASI ALGORITMA SQL BASED FREQUENT PATTERN MINING DENGAN FREQUENT PATTERN – GROWTH (FP-GROWTH) [PDF]

open access: yes, 2006
ABSTRAKSI: Scalable data mining dalam database yang berukuran besar saat ini merupakan tantangan pada penelitian database. Integrasi data mining dengan database system merupakan komponen yang sangat penting untuk aplikasi data mining dengan ukuran yang ...
M.Farhad Al asad
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The Third‐Generation Magnetic Super‐Stable Mineralizer: Complete Removal and Separation of Multiple Heavy Metal Pollutants

open access: yesAdvanced Science, EarlyView.
The 3rd‐generation magnetic super‐stable mineralizer M‐MgAl‐700 features a core‐shell structure, strong superparamagnetism, large surface area, and abundant oxygen defects. It achieves exceptional Cd(II) and As(V) mineralization capacities, reducing both pollutants in co‐contaminated water and soil to meet national standards.
Haoran Wang   +9 more
wiley   +1 more source

Big Data Frequent Pattern Mining

open access: yes, 2014
Frequent pattern mining is an essential data mining task, with a goal of discovering knowledge in the form of repeated patterns. Many efficient pattern mining algorithms have been discovered in the last two decades, yet most do not scale to the type of ...
Karypis, George   +3 more
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