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Showing 1 - 20 results of 225 for search '(( significant clusters based ) OR ( significant ((rates decrease) OR (greatest decrease)) ))', query time: 0.13s Refine Results
  1. 1
    Correlation Clustering via s-Club Cluster Edge Deletion

    Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

    Published 2023
    “…Cluster Editing, a known model for correlation clustering, has garnered significant consideration in the parameterized complexity area and has been utilized in a range of practical contexts. …”
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  2. 2
    Active distribution network type identification method of high proportion new energy power system based on source-load matching

    Active distribution network type identification method of high proportion new energy power system based on source-load matching by Qinlin, Shi

    Published 2023
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  3. 3
    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering

    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

    Published 2022
    “…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”
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  4. 4
    Addition of sphingosine-1-phosphate to human oocyte culture medium decreases embryo fragmentation

    Addition of sphingosine-1-phosphate to human oocyte culture medium decreases embryo fragmentation by Zreik, Tony

    Published 2010
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  5. 5
    Semi-supervised Clustering of Facial Expressions

    Semi-supervised Clustering of Facial Expressions by Jalal, Ahsan

    Published 2017
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  6. 6
    An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering

    An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering by Surjeet Dalal (4906894)

    Published 2023
    “…With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world. This research presents an efficient tumor detection and segmentation technique using an adaptive moving self-organizing map and Fuzzyk-mean clustering (AMSOM-FKM). …”
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  7. 7
    RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments

    RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments by Zain Ul Abideen Tariq (17984107)

    Published 2024
    “…Our work introduces an adaptive UAV swarm formation and dynamic device clustering technique designed for efficient anti-jamming in dynamic multi-user clusters threatened by unknown jammers during critical public events. …”
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  8. 8
    A clustering metaheuristic for large orienteering problems

    A clustering metaheuristic for large orienteering problems by Almiqdad Elzein (13141038)

    Published 2022
    “…Motivated by these limitations, we propose a multi-stage clustering-based metaheuristic for tackling large Orienteering Problems in an effective, strategically controlled amount of computation time. …”
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  9. 9
    Global, regional and national burden of bladder cancer and its attributable risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease study 2019

    Global, regional and national burden of bladder cancer and its attributable risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of... by Saeid Safiri (3713035)

    Published 2021
    “…Bladder cancer accounted for 4.39 million (4.09 to 4.70) DALYs in 2019, and the age-standardised DALY rate decreased significantly by 18.6% (11.2 to 24.3) during the period 1990–2019. …”
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  10. 10
    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique

    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)

    Published 2024
    “…An efficient Cluster Based anonymity model has been proposed to anonymizes the 1:1 dataset with a single sensitive attribute through the introduction of a concept named “Semi-sensitive attribute.” …”
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  11. 11
    Context-Tailored Food-Based Nutrition Education and Counseling for Pregnant Women to Improve Birth Outcomes: A Cluster-Randomized Controlled Trial in Rural Malawi

    Context-Tailored Food-Based Nutrition Education and Counseling for Pregnant Women to Improve Birth Outcomes: A Cluster-Randomized Controlled Trial in Rural Malawi by Kamudoni, Penjani Rhoda

    Published 2024
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  12. 12
    A new approach to record clustering for large databases. (c1997)

    A new approach to record clustering for large databases. (c1997) by Makhoulian, Raffi H.

    Published 1997
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  13. 13
    Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex

    Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex by Wesam S. Ahmed (10170053)

    Published 2022
    “…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”
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  14. 14
    Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19

    Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19 by Farid Kochakkashani (17876918)

    Published 2023
    “…The clustering technique reduced the size of the problem and the time required to solve the model considerably.…”
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  15. 15
    L1-CAM knock-down radiosensitizes neuroblastoma IMR-32 cells by simultaneously decreasing MycN, but increasing PTEN protein expression

    L1-CAM knock-down radiosensitizes neuroblastoma IMR-32 cells by simultaneously decreasing MycN, but increasing PTEN protein expression by Rached, Johnny

    Published 2016
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  16. 16
    Effect of the stretch rate during uniaxial testing on the mechanical properties of prolene

    Effect of the stretch rate during uniaxial testing on the mechanical properties of prolene by Ammouri, A.H.

    Published 2017
    “…No statistically significant dependence of peak load on stretch rate was found. …”
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  17. 17
    Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations

    Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations by Shameem A. Puthiya Parambath (14150997)

    Published 2022
    “…Here we propose a two-stage algorithm based on soft clustering to provide an efficient solution to this problem. …”
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  18. 18
    Y-Chromosome and mtDNA Genetics Reveal Significant Contrasts in Affinities of Modern Middle Eastern Populations with European and African Populations

    Y-Chromosome and mtDNA Genetics Reveal Significant Contrasts in Affinities of Modern Middle Eastern Populations with European and African Populations by Khazen, Georges

    Published 2013
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  19. 19
    Unsupervised knowledge representation of panoramic dental X-ray images using SVG image-and-object clustering

    Unsupervised knowledge representation of panoramic dental X-ray images using SVG image-and-object clustering by Salameh, Khouloud

    Published 2023
    “…We have created a labelled SVG dataset consisting of 22,553 objects from 750 images based on panoramic dental X-ray images. To our knowledge, it is the first significant dataset of labelled SVG objects and images, which we make available online as a benchmark for future research in this area. …”
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  20. 20
    A comprehensive design and rating study of evaporative coolers and condensers. Part I. Performance evaluation

    A comprehensive design and rating study of evaporative coolers and condensers. Part I. Performance evaluation by QURESHI, BILAL AHMED

    Published 2020
    “…It is demonstrated that thermal effectiveness of the evaporative heat exchangers degrades significantly with time indicating that, for a low risk level (pZ0.01), there is about 66.7% decrease in effectiveness for the given fouling model. …”
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