Results 101 to 110 of about 751,571 (292)
Study on Visual Techniques of Potential Pattern Discovery for Time Series Data
Sequential pattern mining is always a very important branch of time series data mining. The pattern mining with visual means can be used to extract the knowledge of time series data more intuitively. Based on the research content, this paper analyzes the
Xu Dalin, Wei Yingmei
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This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao +14 more
wiley +1 more source
Cytokine‐engineered CAR‐T cells represent a promising immunotherapy against malignancies due to direct tumor killing and potent immunity response. However, significant toxicities, including CRS and ICANS, have restricted clinical applications. How to keep the risk‐benefit balance of the advanced therapy is of great importance for maximizing the benefit
Xinru Zhang +7 more
wiley +1 more source
Time series data mining methods
Today, real world time series data sets can take a size up to a trillion observations and even more. Data miners’ task is it to detect new information that is hidden in this massive amount of data. While well known techniques for data mining in cross sections have been developed, time series data mining methods are not as sophisticated and established ...
openaire +1 more source
A defect‐engineered pyrene‐based covalent organic framework (TP‐PYTO‐SA) is developed via strategic salicylaldehyde incorporation. This approach simultaneously enhances hydrophilicity and introduces uranyl coordination sites, while optimized defect density significantly improves charge separation.
Weikun Yao +5 more
wiley +1 more source
This study identifies a conserved CsdA‐LaeB hub in Aspergillus fumigatus that regulates secondary metabolite fumiquinazoline C (FqC). Disrupting this hub enhances FqC production and virulence, shedding new light on the post‐transcriptional regulatory logic linking secondary metabolism to pathogenicity and offering alternative strategies for diagnostic ...
Zili Song +14 more
wiley +1 more source
Communication network security situation analysis based on time series data mining technology
Communication network security situation analysis prevents unauthorized users from accessing and stealing sensitive information. Network security analysis aims to monitor, discover, and eradicate security flaws by carefully examining the network’s ...
Jiang Qingjian
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Time Series Mining Approaches for Malaria Vector Prediction on Mid-Infrared Spectroscopy Data
Malaria is an infectious disease caused by the Plasmodium parasite transmitted to humans by the bite of infected female Anopheles mosquitoes. The disease remains a major cause of child mortality globally and caused more than 600,000 deaths in 85 ...
Lucas G. M. Castro +2 more
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Trojan Horse Strategy: How Biomimetic Nanomedicine Remodels the Tumor Microenvironment
This review focuses on biomimetic nanomedicines for tumor microenvironment (TME) remodeling, covering their diverse biomimetic types, design principles, and mechanisms of immune cell reprogramming and reversal of immunosuppressive microenvironments, with particular emphasis on their application in synergistic immunotherapy.
Wanrong Wang +7 more
wiley +1 more source
TIME SERIES ANALYSIS USING A UNIQUE MODEL OF TRANSFORMATION
REFII1 model is an authorial mathematical model for time series data mining. The main purpose of that model is to automate time series analysis, through a unique transformation model of time series.
Goran Klepac
doaj

