Search Results - (( basic comparing groups algorithm ) OR ( java implication based algorithm ))
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A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features
Published 2023“…Therefore, The paper presented a comparative analysis of IC-MFDs by collect various types of IC-MFDs and group them rely on their features used. …”
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Interval-valued fuzzy soft topology and its applications in group decision-making problems
Published 2022“…In the literature, there are various interval-valued fuzzy soft set-based decision-making algorithms. However, these algorithms are unable to overcome the issue of comparable alternatives, and as a result, they might well be ignored due to a lack of a comprehensive model. …”
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Novel Multi-swarm Approach for Balancing Exploration and Exploitation in Particle Swarm Optimization
Published 2019“…The simulation aspect of the study considered several benchmark functions and compared the performance of the suggested algorithm to that of the standard PSO (SPSO) in terms of efficiency.…”
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Dynamic Feedback Flow Control Algorithms for Unicast and Multicast Available Bit Rate Service in Asynchronous Transfer Mode Networks
Published 2000“…Secondly, the research shifts to the problems of point-to-multipoint algorithms by introducing the basic concept of multicasting ABR servIce and reviewing a group of consolidation schemes, where the compromise between low consolidation nOlse and fast transient response is the main issue. …”
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Development of cell formation algorithm and model for cellular manufacturing system
Published 2011“…The performance of the proposed algorithm is compared with a number of key algorithms that reported in the corresponding scientific literature. …”
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Improved normalization and standardization techniques for higher purity in K-means clustering
Published 2016“…Clustering is basically one of the major sources of primary data mining tools, which make researchers understand the natural grouping of attributes in datasets. …”
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Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension
Published 2015“…The programming performances from the treatment and control group are compared to analyze the effect of using the proposed tool in learning programming. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
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Position-based QoS multicast routing protocol for mobile Ad Hoc Networks
Published 2010“…Also, it achieves a significant reduction in processing overhead compared to flat QoS algorithms.…”
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Proceeding Paper -
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Optimized scheme for efficient and scalable key management in IEEE 802.16e-based networks
Published 2015“…To generate, update and distribute the keys for secure communication over IEEE 802.16e, the MBS applies Multicast and Broadcast Rekeying Algorithm (MBRA) as a basic key management algorithm. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…A Wilcoxon Signed-Rank Test was performed to measure the pair-wise statistical performances of the algorithms and from the results, NPO recorded a better statistical performance compared to the other benchmarking algorithms. …”
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User to user topic recommendation model for student social interaction
Published 2025“…Then, a newly developed algorithm called the Social Recommendation (SAR) algorithm ranked and recommended the best topic for social interaction. …”
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Cluster-based spectrum sensing scheme in heterogeneous network
Published 2014“…The proposed SS scheme adopted the basic model of energy detec-tor and compared with cooperative spectrum sensing scheme. …”
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Composing multi-relations association rules from crowdsourcing remuneration data
Published 2022“…It is suggested that there is a significant pattern showing that the remuneration scheme is determined by five levels of DW, which are expert, advanced, intermediate, novice, and basic. Advance workers are most likely to participate in the crowdsourcing, and the remuneration scale is suggested to be wider compared to others. …”
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Cluster-based spectrum sensing scheme in heterogeneous network
Published 2015“…The proposed SS scheme adopted the basic model of energy detector and compared with cooperative spectrum sensing scheme. …”
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Hybrid Neural Network With K-Means For Forecasting Response Candidate In Direct Marketing
Published 2014“…The data was collected from the Machine Learning Repository Dataset in the University of California Irvine (UCI).This experiment compares hybrid K-Means + NN with basic NN. The result shows the improvement of accuracy from 91.53% to 91.59%, recall 22.15% to 27.7% and F-Measure 44.23% but not to precision from 61.69% to 60.75%.…”
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