Results 41 to 50 of about 45,357 (264)
Characteristic analysis and preprocessing of mine gas monitoring data
In view of characteristics of abnormal data, missing data and noisy data of mine gas monitoring data, a preprocessing method of gas monitoring data was proposed. Abnormal data is replaced by use of moving average line processing method or auto regressive
DONG Dingwen, QU Shijia, WANG Honggang
doaj +1 more source
Learning the smoothness of noisy curves with application to online curve estimation [PDF]
Steven Golovkine +2 more
openalex +1 more source
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
The level of firing rate heterogeneity in a population of cortical neurons has consequences for how stimuli are processed. Recent studies have shown that the right amount of firing rate heterogeneity (not too much or too little) is a signature of ...
Kyle Wendling, Cheng Ly
doaj +1 more source
Fast Separation Algorithm for Bounded Mixed Signals [PDF]
In view of the separation for the mixture of bounded signals,this paper proposes a Bounded Component Analysis(BCA) algorithm for detection and removing of steady state fluctuation.The algorithm takes advantage of assumptions of compactness and Cartesian ...
SU Qiao,SHEN Yuehong,XU Pengcheng
doaj +1 more source
We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies +3 more
wiley +1 more source
FGSI: distant supervision for relation extraction method based on fine-grained semantic information
Relation extraction is one of the important steps in building a knowledge graph. Its main objective is to extract semantic relationships from identified entity pairs in sentences, playing a crucial role in semantic understanding and knowledge graph ...
Chenghong Sun +5 more
doaj +1 more source
Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde +3 more
wiley +1 more source
Functional data learning using convolutional neural networks
In this paper, we show how convolutional neural networks (CNNs) can be used in regression and classification learning problems for noisy and non-noisy functional data (FD). The main idea is to transform the FD into a 28 by 28 image. We use a specific but
J Galarza, T Oraby
doaj +1 more source
Mathematical Modeling of Smooth Curve from Sampled Data via the Discrete Biharmonic Equation
Curve reconstruction is the process of estimating a smooth function or curve that fits a given set of data points, either exactly (interpolation) or approximately (fitting).
Samson Seifu Bekele +1 more
doaj +1 more source

