Search Results - real ((text processing) OR (((pre processing) OR (data processing))))
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1
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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2
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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3
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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4
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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5
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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6
Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
Published 2023“…Clustering, known for its versatility in real-time data stream processing and independence from labeled instances, is a suitable method for analyzing evolving data streams. …”
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7
Improvement of Cepstrum Analysis for the Purpose to Detect Leak, Feature and Its Location in Water Distribution System based on Pressure Transient Analysis / Hanafi.M.Yusop ...[et...
Published 2019“…Therefore, PCA and DWT were recommended as data pre-processing methods to improve cepstrum analysis result.…”
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8
Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin
Published 2011“…There are four major steps in a background subtraction algorithm, which are pre-processing, background modeling, foreground detection, and data validation. …”
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9
A partition based feature selection approach for mixed data clustering / Ashish Dutt
Published 2020“…One such pre-processing algorithm in EDM is clustering. It is a widely used method in data mining to discover unique patterns in underlying data. …”
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10
Data virtualization design model for near real time decision making in business intelligence environment
Published 2017“…ETL operates at pre-defined times and requires time to process and transfer data. …”
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11
Pre-online information searching model of doctoral students: a grounded theory approach / Azree Ahmad
Published 2015“…During the study, the data gathering activity involved a great length of doctoral students pre-searching experiences which were obtained through semistructured interview sessions. …”
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12
Improvement of Cepstrum Analysis for the Purpose to Detect Leak, Feature and Its Location in Water Distribution System based on Pressure Transient Analysis
Published 2017“…Cepstrum analysis is proposed as a method to extract leak and pipe feature information from pressure transient signal by considering this method to analyse non-stationary data. Since in the real test, the originality and pure data are hard to be captured due to noise generated from environment and the noise level ratio is very low, pre-processing method as a filtering technique is implemented to analyse the real signal before the signal goes through cepstrum analysis as post-processing method. …”
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13
Local and global measures for measuring performance of big data analytics process
Published 2019“…BDA process is an end-to-end process which consists of several stages including data acquisition, data preparation (integration and pre-processing), data analysis, visualization, and interpretation. …”
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14
Intelligent Sensor Data Pre-processing Using Continuous Restricted Boltzmann Machine
Published 2007“…The ability ofCRBM to model any given data set is shown by training the CRBM on various data sets reflecting real-world data. …”
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15
Optimized clustering with modified K-means algorithm
Published 2021“…Besides, huge data often face with correlated variables which lead to incorrect clustering process. …”
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Predicting battery health for energy storage and electric vehicles systems by integrating EMD signal processing and machine learning
Published 2025“…This research establishes the two-stage SVM_EMD framework as a robust, low-complexity, and highly effective solution for enhancing the reliability and longevity of batteries in real-world applications, underscoring the vital importance of dedicated signal pre-processing in battery prognostics.…”
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Real time waste material detection using region-based convolutional neural network (RCNN) / Mohammad Aiman Haziq Mohd Hudzir
Published 2019“…Next, the dataset will undergo pre-processing that creates bound box around the images. …”
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18
Predictive Framework for Imbalance Dataset
Published 2012“…The existing data pre-processing and classification methodologies have been adapted in this research. …”
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19
Robust memory-type control charts for monitoring location parameter under non-normal data
Published 2025“…The findings offer practitioners feasible alternative charts for monitoring processes when the underlying data deviate from normality.…”
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20
Real-Time LCD Digit Recognition System
Published 2017“…The system is interfaced with an IP webcam to capture the video frames from the LCD display. The digital data is pre-processed into grayscale and being cropped into a selected region of interest (ROI). …”
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