Search Results - (( data processing modified algorithm ) OR ( java data detection algorithm ))
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1
Challenges of hidden data in the unused area two within executable files
Published 2009“…The designed algorithms were intended to help in proposed system aim to hide and retract information (data file) with in unused area 2 of any execution file(exe.file). …”
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2
Optimized clustering with modified K-means algorithm
Published 2021“…Generally, the proposed modified k-means algorithm is able to determine the optimum number of clusters for huge data.…”
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3
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…A GUI is created in a form of JAVA application to display data detected from tag. …”
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5
Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Secondly, a modified πRKM algorithm is proposed to partition the user session data. …”
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8
Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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9
M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Facial features point localization using modified SIFT scale space / Zulfikri Paidi
Published 2020“…The third test on facial expression recognition process showed that the modified SIFT give more stable result than the results of the SIFT algorithm when the tests are performed on two different databases.…”
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11
Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data
Published 2007“…Distortion and convolution noise effectively. Performance of the modified algorithm indicates its effectiveness for signals with dominant Gaussian/color Gaussian noise. …”
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…To validate this algorithm, the modified word vectors are compared with original LLM-generated word vectors to evaluate their reflection of the intended context. …”
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13
An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…This update process may cause the algorithm to fall to local optima especially in the cases where there are many competing local optima. …”
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14
Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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15
A modified approach to improve the performance of AES using feistel structure
Published 2018“…In encryption algorithm design, apart from the security performance, processing performance and the cost of the implementation are very important trade-off parameters. …”
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Improving on the network lifetime of clustered-based wireless sensor network using modified leach algorithm
Published 2012“…Then, the modified LEACH algorithm was proposed where the improvement was done in cluster head selection based on LEACH. …”
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18
Evapotranspiration prediction using system identification and genetic algorithm
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Modified Data Encryption Standard Algorithm for Textbased Applications
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20
Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
Published 2018“…It can be concluded that the modified algorithm decreases the biases, the variances and the mean squared errors of the LTS estimators. …”
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