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1
Knowledge-based genetic algorithm for multidimensional data clustering
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Proceeding Paper -
2
Adaptive learning for lemmatization in morphology analysis
Published 2014“…Morphological analysis is used to study the internal structure words by reducing the number of vocabularies used while retaining the semantic meaning of the knowledge in NLP system. …”
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Conference or Workshop Item -
3
A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
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4
Discovering association rules for mining images datasets: a proposal
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5
An Improved Genetic Clustering Algorithm for Categorical Data
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Book Chapter -
6
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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A priority based job scheduling algorithm in cloud computing
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9
Knowledge base tuning using genetic algorithm for fuzzy behavior-based autonomous mobile robot
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10
New Diffie Hellman key exchange primitive based upon binary field
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Article -
11
Combination of GREEN and SHRed AQM for short-lived traffic
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12
A new classification model for online predicting users' future movements
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13
An extended ID3 decision tree algorithm for spatial data
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14
Enhancing generality of meta-heuristic algorithms through adaptive selection and hybridization
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15
Statistical fixed range multiple selection algorithm for peer-to-peer system
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16
Static range multiple selection algorithm for peer-to-peer system
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17
Performance of IF-Postdiffset and R-Eclat Variants in Large Dataset
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Article -
18
Self organizing multi-objective optimization problem
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Recursive least squares-based adaptive control of a biodiesel transesterification reactor
Published 2010“…This scheme demonstrates the powerful integration of an online process modeling tool (recursive least squares, RLS) into a renowned and yet simple model-based controller design method (internal model control, IMC). Two adaptive control loops were designed, in which the sampling time of the RLS algorithm and the IMC closed loop time constant were determined by constrained optimization with the genetic algorithm. …”
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