Search Results - (( data replication method algorithm ) OR ( based information method algorithm ))
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…In addition, it can be considered as a data backup method in case of hardware failure, software corruption or even a natural disaster. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
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HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from Text
Published 2021“…Our method works better than other basic and CNN and RNN based hybrid models. …”
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Dynamic replication algorithm in data grid: Survey
Published 2008“…For improving the performance of file accesses and to ease the sharing amongst distributed collaboration, such a system needs replication services. Data replication is a common method used to improve the performance of data access in distributed systems. …”
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Enhanced replication strategy with balanced quorum technique and data center selection method in cloud environment
Published 2022“…In order to mitigate the issues, ‘cloud data replication’ is commonly implemented for better data performance and promising business continuity. …”
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Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
Published 2019“…The proposed BANN model achieved the best training accuracies of (95%) and best prediction accuracies of (92%) based on testing data compared to other employed methods. …”
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Assessment of suitable hospital location using GIS and machine learning
Published 2022“…In this research, site suitability from one study area to another was verified using all the implemented methods. Thus, the proposed approaches would be effectively and easily replicated in other regions. …”
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An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…Density-based method has emerged as a worthwhile class for clustering data streams. …”
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Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
Published 2017“…Both algorithm been illustrated in textbook selection. The proposed methods can be utilized as another option to solve a decision making problem.…”
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Adaptive firefly algorithm for hierarchical text clustering
Published 2016“…In order to refine the obtained clusters, a second algorithm, termed as Weight-based Firefly Algorithm with Relocate (WFAR), is proposed. …”
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A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification
Published 2023“…To address this issue, various data pre-processing methods called Feature Selection (FS) techniques have been presented in the literature. …”
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A Multi-Criteria Recommendation Technique for Personalized Tourism Experiences
Published 2025“…Overall, the proposed method offers a novel and effective solution to the information overload challenge in the tourism industry.…”
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String matching algorithms: to search and compare longest common subsequence strings retrieved from Wagner & Fischer and Hirschberg algorithms on Malay dictionary words / Mohd Razi...
Published 1999“…These are the Wagner & Fischer and Hirschberg algorithms. These methods were chosen because they are based on dynamic programming. …”
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Incorporating stemming algorithm in the Malay information retrieval that employs Thesaurus aproach / Mohd Rosmadi Mokhtar
Published 2001“…It is known as conflation methods. One of well-known conflation methods is stemming algorithms, where it is used to identify morphological variants. …”
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Information Theoretic-based Feature Selection for Machine Learning
Published 2018“…Thus, this thesis has developed and evaluated a filter based Information Theoretic-based Feature Selection (IFS) for machine learning. …”
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