Results 141 to 150 of about 459,037 (316)

Resource-aware very fast K-Means for ubiquitous data stream mining [PDF]

, 2005
Developments in data streams, coupled with the growth in mobile and pervasive devices, have led to the emergence of Ubiquitous Data Mining (UDM). UDM aims to perform data stream mining in a ubiquitous environment with resource-constrained and/or mobile ...
Rahul Shah, Shah, R., Shonali Krishnaswamy, Krishnaswamy, S., Mohamed Medhat Gaber, Gaber, M.   +5 more
core  

MEOX1 Coordinates Autocrine‐Paracrine Programs via SPHK1/S1P to Promote Lymph Node Metastasis in Ovarian Cancer

Advanced Science, EarlyView.
In ovarian cancer, MEOX1 activates the SPHK1/S1P pathway to promote both tumor progression and tumor–stroma crosstalk. MEOX1‐dependent signaling drives CAF activation, enhances VEGF‐C expression, and stimulates lymphangiogenesis, ultimately facilitating lymph node metastasis.
Jiajia Li, Xiuling Zhi, Qianhan Lin, Yating Sun, Yihua Sun, Zulimire Abudousalamu, Mengyang Xue, Chang Zheng, Xiaotian Li, Liangqing Yao, Mo Chen   +10 more
wiley   +1 more source

Isosteric Substitution Enables Rational Design of Two‐Dimensional Energetic Crystals

Advanced Science, EarlyView.
Isosteric substitution transforms a classical nitro–amine motif into two‐dimensional aminofurazans with performance beyond TATB. ABSTRACT Two‐dimensional (2D) energetic crystals dissipate mechanical insult via interlayer slip, yet their molecular design space remains narrow.
Linyuan Wen, Wentong Tu, Tao Yu, Chao Chen, Zhixiang Zhang, Zhixiang Xie, Yingzhe Liu   +6 more
wiley   +1 more source

LiteRoadSegNet: A Lightweight Road Segmentation Framework with Semantic–Topological Contrastive Learning in High-Resolution Remote Sensing Imagery

Remote Sensing
Deploying deep learning models for high-resolution remote sensing image segmentation remains challenging in resource-constrained scenarios due to the high computational cost of dense prediction and the structural vulnerability of thin objects such as ...
Tao Wu, Yu Peng, Jianxin Qin, Yiliang Wan, Yaling Hu   +4 more
doaj   +1 more source

Data Mining :  Opportunities and Challenges chapter 1: A Survey of Bayesian Data Mining

, 2003
Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining.
Arnborg, Stefan,
core  

Fast perceptron decision tree learning from evolving data streams

, 2010
Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffding Trees—Hoeffding Trees with naive Bayes models at the leaf nodes—albeit with ...
Pfahringer, Bernhard, Geoff Holmes, Bernhard Pfahringer, Albert Bifet, Bifet, Albert, Eibe Frank, Holmes, Geoffrey, Frank, Eibe   +7 more
core   +1 more source

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

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

Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining [PDF]

An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms.
Alexandru PIRJAN
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