Showing 81 - 100 results of 1,075 for search 'Datchet~', query time: 2.59s Refine Results
  1. 81

    Deteksi Dini Gangguan Jaringan Distributed Denial Of Service (DDOS) Menggunakan Metode Shannon Entropy Pada Software Defined Network (SDN) by Achmad Solichin, Ludi Nugroho

    Published 2024-07-01
    Subjects: “…deteksi dini, Software Defined Networking, teori informasi, distributed denial of service, dataset, lalu lintas.…”
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    Fractional hitting sets for efficient multiset sketching by Timothé Rouzé, Igor Martayan, Camille Marchet, Antoine Limasset

    Published 2025-02-01
    “…Locality-sensitive hashing techniques have successfully transformed large datasets into smaller, more manageable sketches while maintaining comparability using metrics such as Jaccard and containment indices. …”
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  15. 95

    Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java by Hoger Khayrolla Omar, Alaa Khalil Jumaa

    Published 2019-05-01
    Subjects: “…Keywords: Big data, Data analysis, Apache Spark, Hadoop HDFS, Machine learning, Spark MLlib, Resilient Distributed Datasets(RDD).…”
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  18. 98

    Data-driven understanding on soccer team tactics and ranking trends: Elo rating-based trends on European soccer leagues. by Dong Hee Jung, Jason J Jung

    Published 2025-01-01
    “…Predicting strategies from soccer match datasets is a challenging. In our study, we propose methods based on count and rank to address these challenges. …”
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  19. 99

    SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

    Published 2025-01-01
    “…We propose and evaluate the impact of different fine-tuning strategies on pose data using the MPOSE action recognition dataset as a pre-training source. Transfer performance is measured on the BoLD body emotion recognition dataset. …”
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  20. 100

    Squeeze-and-Excitation Vision Transformer for Lung Nodule Classification by Xiaozhong Xue, Yanhe Ma, Weiwei Du, Yahui Peng

    Published 2025-01-01
    “…In this study, the SE-ViT achieves an average accuracy of 0.863, precision of 0.872, recall of 0.876, F1-score of 0.872 and AUC of 0.862 on public dataset LUNA16. This result shows a significant improvement compared to ViT and SE-CNN.…”
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