Results 101 to 110 of about 6,064 (288)

MapReduce network enabled algorithms for classification based on association rules

, 2011
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.There is growing evidence that integrating classification and association rule mining can produce more efficient and accurate classifiers than traditional ...
Hammoud, Suhel
core  

Streptavidins Coordinate Biotin Sequestration and Self‐Resistance Within a Biotin‐Pathway Antibiotic Network

Advanced Science, EarlyView.
A conserved genomic region between two streptavidin genes in Streptomyces packages biosynthetic gene clusters for diverse biotin‐pathway antibiotics: acidomycin, stravidin, the new non‐proteinogenic amino acid ANDA, and the new BioA inhibitor α‐methyl‐KAPA.
Sumire Kurosawa, Jingjun Mo, Xiaotong Diao, Feng Xie, Tingting Wang, Haowen Zhao, Dalei Wu, Rolf Müller, Chengzhang Fu   +8 more
wiley   +1 more source

An Adaptive Multi-Agent Framework for Semantic-Aware Process Mining

Computers
With rapid advancements in large language models for natural language processing, their role in semantic-aware process mining is growing. We study semantics-aware process mining, where decisions must reflect both event logs and textual rules.
Xiaohan Su, Bin Liang, Zhidong Li, Yifei Dong, Justin Wang, Fang Chen   +5 more
doaj   +1 more source

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, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Multidimensional Sequential Pattern Mining

, 2014
- Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mining, and sequential pattern mining.
Nitin Shukla, Priyanka Tiwari
core  

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

Advanced 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, Yongqiang Chen, Dong Ding, Xuehai Zhang, Xuxiang Jia, Zhanhui Zhang, Yafei Wang, Weihua Li, Hui Zhang, Jihua Tang   +9 more
wiley   +1 more source

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, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Reconfigurable Spoof Plasmonic Skyrmion Electronics for Deformation‐Invariant Multimode Sensing

Advanced Science, EarlyView.
A flexible multimode sensor based on capacitively loaded spoof plasmonic skyrmions enables deformation‐invariant dielectric sensing with ultra‐compact size and high Q‐factor. Near‐equidistant resonances remain stable under shape change and bending, while capacitor loading improves bending robustness and multimode sensitivity, highlighting strong ...
Zengxiang Wang, Xiangzheng Kong, Xiaojun Huang, Ying Tian, Wang Yao, Xia Xiao, Zhuo Li, Yu Luo   +7 more
wiley   +1 more source

Learning Analytics for Virtual Industrial Labs: Performance Segmentation and Error Pattern Discovery via Sequential Mining

IEEE Access
The widespread adoption of virtual and remote laboratories has transformed practical education by offering scalable, safe, and flexible environments for developing technical skills.
Felipe V. Roque, Luciano Caminha Junior, Cristian Cechinel, Matheus Z. Marcon, Alex Kuhnen, Roberto Munoz, Mateus Grellert   +6 more
doaj   +1 more source

The Third‐Generation Magnetic Super‐Stable Mineralizer: Complete Removal and Separation of Multiple Heavy Metal Pollutants

Advanced 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, Menghan Huang, Ruihua Mao, Xiaohan Zhang, Zhaohui Wu, Xiaofeng Pang, Tong Lin, Dongyuan Cui, Sai An, Yu‐Fei Song   +9 more
wiley   +1 more source