Search Results - ((((good processing) OR (pre processing))) OR (data processing))
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1
A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles
Published 2022“…To begin, the technique collects multiple datasets from diverse sources, which are then input into the data pre-processing step by utilizing some text pre-processing processes. …”
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2
Safety aspect in installation industrialized building system (IBS) component
Published 2009“…Returned questionnaire were analyses with used average index and frequency analysis method to identify safety aspect using pre-cast construction. The results indicate that the safety aspect implemented by company involved in precast construction process is at a good level at safety aspect during bracing, propping, welding and grouting process and very good level at safety in general aspect and safety aspect during lifting process. …”
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Undergraduates Project Papers -
3
Development of text extraction and recognition prototype using Adaptive Resonance Theory 1 (ART1) neural network / Iffarini Idris
Published 2008“…During the pre-processing stage, images were converted to binary image. …”
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4
The Australian Electricity Market's pre-dispatch process: Some observations on its efficiency using ordered probit model
Published 2024“…Many market participants in Australia Electricity Market had cast doubts on whether the pre-dispatch process in the electricity market is able to give them good and timely quantity and price information. …”
Proceedings Paper -
5
Data Pre-Processing Techniques For Improving River Water Level Prediction: A Case Study Of The Dungun River, Terengganu, Malaysia
Published 2019“…This study adopted the data pre-processing techniques to first improve the observed rainfall series. …”
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Final Year Project / Dissertation / Thesis -
6
An evaluation of various data pre-processing techniques with machine learning models for water level prediction
Published 2023“…artificial neural network; data processing; decomposition analysis; machine learning; prediction; river water; support vector machine; water level; Dungun Basin; Malaysia; Terengganu; West Malaysia…”
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7
Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons
Published 2018“…The hybrid RMGM-ERNN was found to provide better results than the hybrid RMGM-BP model. Relatively good performance of the proposed hybrid models with a data pre-processing approach provides a successful alternative to achieve better accuracy in streamflow forecasting compared to the traditional artificial neural network approach without a data pre-processing scheme.…”
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8
Computational Morphological Resources Management System
Published 2014“…The automated way combines the manual pre-processing and automatic file management system as the solution to obtain a wordlist and segmented data. …”
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Final Year Project Report / IMRAD -
9
Training process reduction based on potential weights linear analysis to accelerate back propagation network.
Published 2009“…One good data preprocessing technique for accelerating BPN classification is dimension reduction technique but it has problem of missing data. …”
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10
The Australian electricity market's pre-dispatch process: Some observations on its efficiency using ordered probit model
Published 2024Conference Paper -
11
Pre School selection system using Analytic Hierarchy Process (AHP): Implementation and Usability Study
Published 2017“…In this research, two sets of questionnaires were distributed to the parents in order to gather data pertaining their perceptions. The results of the questionnaire were used in the system development process in which the Analytic Hierarchy Process (AHP) technique is integrated. …”
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Conference or Workshop Item -
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Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
Published 2022“…Exploratory research was conducted to propose a robust computer vision approach to classify paddy seedlings density and defected paddy seedlings detection using pre-trained CNN model with transfer learning. Data augmentation, image pre-processing and hyperparameter tuning were applied to achieve the desirable performance. …”
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Thesis -
13
Identification of Adolescent Idiopathic Scoliosis using image processing / Aisyah Afifah Mohd Hanip
Published 2020“…The pre-processing technique used are converting to grayscale image, implementing sharpening filter and median filter. …”
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14
K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata
Published 2018“…K Nearest Neighbor Joins (KNN join) are regarded as highly primitive and expensive operations in the data mining.The efficient use of KNN join has proven good results in finding the objects from two data sets prevailed in the huge databases.This has been achieved with the combination of K-Nearest Neighbor query and join operation to find the distinct objects from different data sets.MapReduce is a newly introduced program with the combination of Map Procedure method and Reduce Method widely used in BigData.MapReduce is enriched with parallel distributed algorithm to find the results on a cluster of data sets in BigData.In this paper,the combination of KNN join and MapReduce methods are utilized on the cluster of data sets in BigData for knowledge discovery.Exploring the pinpoint data from huge data sets stored in Big Data demands the distributed large scale data processing.The present research paper is focusing on generic steps for KNN joins exploration operations on MapReduce.The operations of KNN Join are targeted to perform the data partitioning and data pre-processing and necessary calculations.By utilizing the combination of KNN joins with MapReduce methods on BigData data sets will demonstrate a solution for complex computational analysis. …”
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15
The development of computerised accounting system in goods and services tax in Malaysia: client and vendor perspectives / Nor Hafizah Abd Mansor
Published 2022“…Importantly, GST mapping (designing process) during pre-GST implementation is a critical system development activity from both client and vendor perspectives. …”
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16
User interestingness for pre-fetching in mobile environment
Published 2011“…Due to this complication, new method is introduced where it requires data mining technique to improve the pre-fetching process. …”
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Conference or Workshop Item -
17
Mind-mapping strategy in process writing approach: Idea extension evidence for introductory paragraph
Published 2023“…Process writing activities were designed as a treatment after the survey, and pre-test scores supported the necessity to employ the mind-mapping strategy to the experimental group. …”
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18
University entry selection framework using rule-based and back-propagation
Published 2015“…In this work, a student selection framework using rule-based and backpropagation neural network is presented. Two processes are involved in this work; the first phase known as pre-processing uses rule-based for checking the university requirements, merit calculation and data conversion to serve as input for the next phase. …”
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19
The impact of Nigeria's corporate affairs commission reform and re-organization on corporate governance and service delivery
Published 2014“…The pre-reforms period of the Nigeria’s Corporate Affairs Commission (CAC) was characterized by lack of standing system of tracking of companies’ compliance and general gross inefficiency in the delivery of services by the Commission.In 2001 CAC experienced reform and re-organization processes; meant to make it more responsive to discharging its regulatory role and achieving good corporate governance practices and efficiency in service delivery.The question is, has these processes strengthened the quality of services delivered by the Commission? …”
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Conference or Workshop Item -
20
Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling
Published 2010“…But, they do not have the ability of pre-processing before model development. In this study, the Gamma Test (GT) technique is applied to find the best input combination and number of sufficient data points for evapotranspiration modeling under humid and arid conditions. …”
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