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  1. 1

    DBSCAN inspired task scheduling algorithm for cloud infrastructure by S.M.F D Syed Mustapha, Punit Gupta

    Published 2024-01-01
    Subjects: “…Density-based spatial clustering of applications with noise (DBSCAN)…”
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    An Algorithm Using DBSCAN to Solve the Velocity Dealiasing Problem by Wei Zhao, Qinglan Li, Kuifeng Jin

    Published 2021-01-01
    “…In this study, we transform the velocity dealiasing problem into a clustering problem and solve this problem using the density-based spatial clustering of applications with noise (DBSCAN) method. This algorithm is verified with a case study involving radar data on the tropical cyclone Mangkhut in 2018. …”
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    Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

    Published 2025-01-01
    “…Specifically, SVM demonstrates superior performance in detecting point anomalies, while DBSCAN is more effective when the dataset is pre-processed. …”
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    Combined AGADESN with DBSCAN Algorithm for Cluster Target Motion Intention Recognition by Xirui Xue, Shucai Huang, Daozhi Wei

    Published 2022-01-01
    “…In order to solve these problems, a joint algorithm of deep echo state network optimized by adaptive genetic algorithm (AGADESN) and DBSCAN clustering algorithm is proposed in this paper. …”
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    Clustering Gempabumi di Wilayah Regional VII Menggunakan Pendekatan DBSCAN by Ihsan Bagus Fahad Arafat, Mokhamad Amin Hariyadi, Irwan Budi Santoso, Cahyo Crysdian

    Published 2023-08-01
    “…Pada penelitian ini digunakan pendekatan algoritma Unsupervised Learning Clustering berbasis kepadatan yaitu, Density Based Spatial Clustering of Application with Noise atau DBSCAN, algoritma ini membutuhkan parameter input epsilon (ε) dan MinPts. …”
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    Fault aware task scheduling in cloud using min-min and DBSCAN by S.M.F D Syed Mustapha, Punit Gupta

    Published 2024-01-01
    “…Density-based spatial clustering of applications with noise (DBSCAN) is a stochastic approach-based algorithm which has the capability to cluster the resources in a cloud environment. …”
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    Article
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    Cicer arietinum abscisic acid receptor PYL1 and glycine-rich RNA-binding, abscisic acid-inducible protein-like differential expression under induced draught conditions by Slishchuk Heorhii, Volkova Nataliia, Dilafruz Kholmurodova

    Published 2025-01-01
    “…This study focuses on the differential expression of two key drought- responsive genes: abscisic acid receptor PYL1 and glycine-rich RNA- binding abscisic acid-inducible protein-like in two chickpea genotypes, Desi PI598080 (non-drought-tolerant) and Kabuli Flip07 318C (drought- tolerant), under both control and simulated drought stress conditions. …”
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    A Novel DBSCAN Based on Binary Local Sensitive Hashing and Binary-KNN Representation by Qing He, Hai Xia Gu, Qin Wei, Xu Wang

    Published 2017-01-01
    “…We revisit the classic DBSCAN algorithm by proposing a series of strategies to improve its robustness to various densities and its efficiency. …”
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    SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

    Published 2025-01-01
    “…In this paper, we propose SensorDBSCAN, a novel semi-supervised method for anomaly detection and diagnosis. …”
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    Extent of Farm Mechanization in North Bank Plains Zone of Assam, India by Suhail Alam, Haridra Sharma, Ridip Ranjan Saharia, Arunjyoti Sonowal, Amvrin Baruah

    Published 2025-01-01
    “… The study was conducted from April, 2022 to March, 2023 in the North Bank Plains Zone (NBPZ) of Assam, India to assess the extent of mechanization and its impact on crop production. …”
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