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1
Detection Of Misplaced And Missing Regions In Image Using Neural Network
Published 2017“…The neural network uses the RGB value from the image processing phase and analyzes the regions to check whether there is misplaced or missing jigsaw puzzle. …”
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Thesis -
2
Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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3
Systematic review on missing data imputation techniques with machine learning algorithms for healthcare
Published 2022“…Many machine learning algorithms have been applied to impute missing data with plausible values. …”
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4
Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…This problem inspires the idea to develop a prediction algorithm to predict the missing values in the dataset, where Support vector regression (SVR) has been proposed as a prediction method to predict missing values in several academic types of researches. …”
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5
Missing values imputation tool using imputex algorithm
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Real time power quality event detection using continuous wavelet transform
Published 2023“…A test bench setup with voltage sag generator is used to test the performance of the proposed algorithm. …”
Conference paper -
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Development of an imputation technique - INI for software metric database with incomplete data
Published 2007“…This technique was used for estimating missing data in a software engineering database (PROMISE). …”
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Book Section -
8
Missing point on the corner by using extension cases of advancing front mesh method
Published 2020“…The holes focused was on the missing point on the corner of the object. In the algorithm, object was chosen and two procedure used to achieved the results. …”
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9
Intelligent imputation method for mix data-type missing values to improve data quality
Published 2024“…A common challenge is the occurrence of missing data during the data input process. Numerous studies have proposed methods to impute missing values for data across multiple fields. …”
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10
Estimating Missing Precipitation to Optimize Parameters for Prediction of Daily Water Level Using Artificial Neural Network
Published 2006“…Bedup station located in Batang Sadong Basin, Sarawak.ANN is undoubtedly a strong tool for forecasting various non- linear hydrologic processes, including the missing precipitation and water level prediction. …”
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Final Year Project Report / IMRAD -
11
Tangible interaction learning model to enhance learning activity processes among children with dyslexia
Published 2024“…A common challenge is the occurrence of missing data during the data input process. Numerous studies have proposed methods to impute missing values for data across multiple fields. …”
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12
Crown counting and mapping of missing oil palm tree using airborne imaging system
Published 2019“…The total number of existing oil palm trees and the number of missing trees together with its individual coordinates can be obtained using this graphical interface.…”
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13
A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts
Published 2026thesis::master thesis -
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…Data incomplete is happened when some of data to process is missing so it failed to record it. Problem of the size of data happen when data cannot be process because of it too complex. …”
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Undergraduates Project Papers -
16
An enhanced robust association rules method for missing values imputation in Arabic language data set
Published 2023“…This method deals with high missing value rates by adjusting the support threshold in every iteration of the algorithm. …”
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17
Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan
Published 2018“…Uncertain data cannot be processed by using the regular tools and techniques of clear data. …”
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18
An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title
Published 2019“…Searches within a group can be done using a half-searching algorithm to improve the response time for data retrieval. …”
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19
Super resolution imaging using modified lanr based on separable filtering
Published 2019“…Reaching super resolution has been a challenge in image processing practices, because of their under-constrained nature that requires the missing HR image details to be reconstructed. …”
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20
Neural Network with Genetic Algorithm Prediction Model of Energy Consumption for Billing Integrity in Gas Pipeline
Published 2012“…Along the development of oil and gas industry, missing data is one of the contributors that restrains in analyzing and processing data task in database. …”
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Final Year Project
