Preprocessing method

This study proposes a threshold method in the preprocessing stage to improve human activity classification accuracy by determining the region of meaningful information (RMI) on the spectrogram. Initially, a mask function, which is created by a certain threshold value, is applied to the input spectrogram to highlight the RMI from the micro-Doppler (m-D) signatures.

9p visergeyne 18-06-2024 0 0   Download

Ebook "Data mining - Know it all" includes content: What’s it all about, data acquisition and integration, data preprocessing, physical design for decision support, warehousing, and OLAP, algorithms - the basic methods, further techniques in decision analysis, fundamental concepts of genetic algorithms,... and other contents.

477p haojiubujain07 20-09-2023 4 4   Download

In this paper, we propose to use Conformal Geometric Algebra (CGA) to feature extraction and reduce dimensions of the data. First, the action data is preprocessed to normalize the data. Next, use CGA to reduce dimensions of data and create feature vectors. Finally, use the LSTM for training and prediction. The experiment was conducted on the CMU dataset with 8 different actions and the results showed that the proposed method has higher results than the previous methods.

7p visherylsandberg 18-05-2022 17 3   Download

SCANPY is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory networks.

5p vialfrednobel 29-01-2022 6 0   Download

Single-cell RNA-sequencing (scRNA-seq) technologies and associated analysis methods have rapidly developed in recent years. This includes preprocessing methods, which assign sequencing reads to genes to create count matrices for downstream analysis.

32p viarchimedes 26-01-2022 16 0   Download

MAESTRO provides functions for preprocessing, alignment, quality control, expression and chromatin accessibility quantification, clustering, differential analysis, and annotation. By modeling gene regulatory potential from chromatin accessibilities at the single-cell level, MAESTRO outperforms the existing methods for integrating the cell clusters between scRNAseq and scATAC-seq.

28p viarchimedes 26-01-2022 9 0   Download

Single-cell RNA-sequencing (scRNAseq) and the set of attached analysis methods are evolving fast, with more than 560 software tools available to the community, roughly half of which are dedicated to tasks related to data processing such as clustering, ordering, dimension reduction, or normalization.

28p viarchimedes 26-01-2022 10 0   Download

In this paper, for the first time, a novel discretization scheme is proposed aiming at enabling scalability but also at least three other strong challenges. It is based on a Left-to-Right (LR) scanning process, which partitions the input stream into intervals.

22p redemption 20-12-2021 16 6   Download

This paper experiments with the deep learning model convolution neural network (CNN), long short-term memory (LSTM), and the combined model of CNN and LSTM. The training data set comprise reviews of cars in Vietnamese that are pre-processed according to the method of aspect analysis based on an ontology of semantic and sentimental approaches.

7p viaespa2711 31-07-2021 17 1   Download

The need for precise and stable taxonomic classification is highly relevant in modern microbiology. Parallel to the explosion in the amount of sequence data accessible, there has also been a shift in focus for classification methods.

13p vikentucky2711 24-11-2020 9 1   Download

Gene expression data produced on high-throughput platforms such as microarrays is susceptible to much variation that obscures useful biological information. Therefore, preprocessing data with a suitable normalization method is necessary, and has a direct and massive impact on the quality of downstream data analysis.

16p vioklahoma2711 19-11-2020 12 0   Download

Bisulfite sequencing allows base-pair resolution profiling of DNA methylation and has recently been adapted for use in single-cells. Analyzing these data, including making comparisons with existing data, remains challenging due to the scale of the data and differences in preprocessing methods between published datasets.

5p vijisoo2711 27-10-2020 8 0   Download

Feature selection, as a preprocessing stage, is a challenging problem in various sciences such as biology, engineering, computer science, and other fields. For this purpose, some studies have introduced tools and softwares such as WEKA.

17p vijisoo2711 27-10-2020 9 0   Download

RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and even more so transcript counting methods which avoid mapping and quantify gene and transcript expression by evaluating whether a read is compatible with a transcript, have led to significant speed-ups in data analysis.

11p vijisoo2711 27-10-2020 9 0   Download

Advances in single-cell RNA-seq technology have led to great opportunities for the quantitative characterization of cell types, and many clustering algorithms have been developed based on single-cell gene expression.

13p vicolorado2711 22-10-2020 17 0   Download

With modern methods in biotechnology, the search for biomarkers has advanced to a challenging statistical task exploring high dimensional data sets. Feature selection is a widely researched preprocessing step to handle huge numbers of biomarker candidates and has special importance for the analysis of biomedical data. Such data sets often include many input features not related to the diagnostic or therapeutic target variable.

21p vicolorado2711 22-10-2020 17 0   Download

This document focuses on the approach of a computerized motion analysis to structure the preprocessing of a static finite element simulation, used in the design of a transtibial prosthesis for a Paralympic cyclist, and thus evidence the behavior of the proposed prosthesis model under the charges present during competition.

12p cleopatrahuynh 01-06-2020 29 1   Download

The development of the Internet has increased the need for daily online information storage. Finding the correct information that we are interested in takes a lot of time, so the use of techniques for organizing and processing text data are needed. These techniques are called text classification or text categorization. There are many methods of text classification, but for this paper we study and apply the Support Vector Machine (SVM) method and compare its effect with the Naïve Bayes probability method.

17p caothientrangnguyen 01-04-2020 62 2   Download

Remotely-sensed data for urban classification is very diverse in data type, acquisition time, and spatial resolution. Therefore, preprocessing is needed for input data, in which the spatial resolution must be changed by different resampling methods. However, data transformations during resampling have many effects on classification results. In this research, resampling methods were evaluated.

13p vimariecurie2711 30-07-2019 24 1   Download

This paper introduces an approach to Twitter sentiment analysis, with the task of classifying tweets as positive, negative or neutral. In the preprocessing task, we propose a method to deal with two problems: (i) repeated characters in informal expression of words; and (ii) the affect of contrast word in determining sentence polarity.

7p visasuke2711 25-04-2019 13 1   Download