Showing 241 - 260 results of 321 for search 'Be Mine (novel)', query time: 0.06s Refine Results
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    An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

    Published 2024-01-01
    “…This research paper proposes a novel data mining system that combines the ensemble feature selection method and machine learning classifier for the effective identification of COVID-19 infection. …”
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    Article
  3. 243

    Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets by Sedat Korkmaz

    Published 2025-03-01
    “…Class imbalance is a major challenge in machine learning and data mining. Oversampling and undersampling methods are commonly used to address this issue. …”
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    Article
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    Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China by Qing Yang, Hui Zhou, Xingxing Liu, Chen Zuo, Jinmei Wang

    Published 2021-01-01
    “…Through rule-based text mining and complex network analysis, the Entity Relationship (ER) network of MSW-NIMBY crisis is reconstructed. …”
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    Article
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    A Semisupervised Cascade Classification Algorithm by Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos Sgarbas

    Published 2016-01-01
    “…Classification is one of the most important tasks of data mining techniques, which have been adopted by several modern applications. …”
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    Article
  10. 250

    Ignition by Hot Transient Jets in Confined Mixtures of Gaseous Fuels and Air by Abdullah Karimi, M. Razi Nalim

    Published 2016-01-01
    “…Ignition of a combustible mixture by a transient jet of hot reactive gas is important for safety of mines, prechamber ignition in IC engines, detonation initiation, and novel constant-volume combustors. …”
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    Article
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    Mechanical properties and macro–micro failure mechanisms of granite under thermal treatment and inclination by Yue Cao, Xiaowu Zhang, Lei Sun, Yadong Zheng, Chong Li

    Published 2025-01-01
    “…Abstract The coupling effects of inclination angle (θ) and high temperature (T) on rock degradation present significant construction challenges for underground engineering projects, such as underground coal gasification, inclined mining pillars, and nuclear waste repositories. This study is built on a novel combined compression and shear test system, investigating granite’s physical and mechanical properties and macroscopic failure characteristics under varying temperatures and inclination angles. …”
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    Article
  16. 256

    Spectroscopic Study on the Species and Color Differences of Gem-Quality Red Garnets from Malawi by Ming Li

    Published 2022-01-01
    “…This study proposed an innovative spectroscopic approach, particularly the combination of ultraviolet-visible spectroscopy and X-ray photoelectron spectroscopy, thus providing a novel methodology for investigating color differences in red garnets.…”
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    Driving Style Recognition under Connected Circumstance Using a Supervised Hierarchical Bayesian Model by Depeng Chen, Zhijun Chen, Yishi Zhang, Xu Qu, Mingyang Zhang, Chaozhong Wu

    Published 2021-01-01
    “…Therefore, in this study, a supervised method is proposed to understand driving behavioral structure and the latent driving styles by incorporating the prior knowledge. Firstly, a novel method is established for driving behavioral encoding and raw driving data mining. …”
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    Article
  19. 259

    Experimental Investigation on Influencing Factors of Rock Fragmentation Induced by Carbon Dioxide Phase Transition Fracturing by Bo Gao, Youjiang Yang, Weilong Xue, Anhui Guo, Xuedong Luo

    Published 2021-01-01
    “…Carbon dioxide phase transition fracturing is a novel physical blasting technique, which is gradually used in mining and underground space engineering. …”
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    Article
  20. 260

    Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction by Chuanting Zhang, Ke-Ke Shang, Jingping Qiao

    Published 2021-01-01
    “…Then, we propose a novel link prediction framework, AdaSim, by introducing an Adaptive Similarity function using features obtained from network embedding based on random walks. …”
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    Article