Search Results - (( java implementation phase algorithm ) OR ( missing process setting algorithm ))
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1
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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2
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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3
Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan
Published 2018“…Soft set binary data may be missing due to communicational errors or viral attacks etc. …”
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4
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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5
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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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. With the right setting and calibration, the proposed algorithm shows superior performance with no miss detection on the test bench. …”
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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 -
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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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9
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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10
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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11
Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.]
Published 2024“…The FP-Growth algorithm was found to be faster and more effective than the Apriori algorithm in extracting frequent item sets and generating association rules. …”
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Article -
12
Optimizing skyline query processing in incomplete data
Published 2019“…Most of the previously proposed skyline algorithms work on a complete database where the data are always present (non-missing). …”
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Article -
13
Design and performance analysis of a fast 4-way set associative cache controller using Tree Pseudo Least Recently Used algorithm
Published 2023“…Operational efficiency was evidenced by the controller's swift processing speeds: read hits were completed in a mere three cycles, read misses in five and a half cycles, and both write hits and misses in three and a half cycles. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Data Mining Analysis Of Chronic Kidney Disease (CKD) Level
Published 2022“…Data classifications are performed at a 10-fold-cross-validation mode using Naïve Bayes (NB), Support Vector Machine (SVM), and J48 Trees. The ZeroR algorithm was set as the baseline There are three levels of classification analyses: before and after handling the missing values, before and after the outliers’ treatment, and adding uncertain classes. …”
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Monograph -
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Development of lung cancer prediction system using meta-heuristic optimized deep learning model
Published 2023“…The algorithm detects the affected region depending on pixel similarity computation process. …”
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18
Artificial neural network model for predicting windstorm intensity and the potential damages / Mohd Fatruz Bachok
Published 2019“…The other 11 prediction processes which utilised ANN model algorithms (fitting tool), gave R-values for all the algorithms higher than 0.900 except one algorithm equal to 0.8661, meanwhile MSE between 0.22 to 116.41. …”
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Dominance relationship-based skyline query framework over dynamic and incomplete database
Published 2020“…Utilising the existing skyline algorithms would require performing the algorithms on the new state of the database. …”
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20
Instance matching framework for heterogeneous semantic web content over linked data environment
Published 2021“…A proposed framework works interactively with the following components: Serialisation and pre-processing, unsupervised training set generation, property alignment and two-fold similarity generation components. …”
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