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  1. 15781

    THREE-DIMENSIONAL GIS MODELING OF THE STRELTSOVSKAYA CALDERA’S COVER ON THE BASIS OF SURFACE RELIEF AND THE BASEMENT’S TOP DIGITAL MODELS by I. O. NAFIGIN, S. A. USTINOV, V. A. PETROV

    Published 2018-08-01
    “…The received results allow creating a predictive model of the tectonic and dynamic state of the Streltsovky ore field rock massifs for the deposits development and mine workings design.…”
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    Article
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    Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning by Yusuke Kobayashi, Naoki Fujiwara, Yuki Murakami, Shoichi Ishida, Sho Kinguchi, Tatsuya Haze, Kengo Azushima, Akira Fujiwara, Hiromichi Wakui, Masayoshi Sakakura, Kei Terayama, Nobuhito Hirawa, Tetsuo Isozaki, Hiroaki Yasuzaki, Hajime Takase, Yuichiro Yano, Kouichi Tamura

    Published 2025-06-01
    “…LightGBM, a gradient boosting algorithm, was used for fatigue prediction, and model performance was evaluated using the F1-score, accuracy, and receiver operating characteristic area under the curve using leave-one-out cross-validation. …”
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    Article
  4. 15784

    Efficient and Stable Learning for Distribution Network Operation: A Model-Based Reinforcement Learning Approach by Dong Yan, Zhan Shi, Xinying Wang, Yiying Gao, Tianjiao Pu, Jiye Wang

    Published 2025-01-01
    “…Despite the improved control flexibility, traditional prediction-plus-optimization models struggle to adapt to rapidly shifting demands. …”
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    Article
  5. 15785

    Data-Driven Revolution in Academic Support for Mathematics Underachievers through Random Forest Individual and Hybrid Model by Asadi Srinivasulu, Vanithamani Palanisamy

    Published 2024-09-01
    “…Educational Data Mining, leveraging machine learning and data mining techniques, aims to predict student performance using available datasets. …”
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    Article
  6. 15786

    Artificial intelligence and anti-cancer drugs' response by Xinrui Long, Kai Sun, Sicen Lai, Yuancheng Liu, Juan Su, Wangqing Chen, Ruhan Liu, Xiaoyu He, Shuang Zhao, Kai Huang

    Published 2025-07-01
    “…This review aims to comprehensively summarize the research progress in utilizing AI algorithms to analyze multi-omics data including genomics, transcriptomics, epigenomics, proteomics, metabolomics, radiomics, and histopathology, for predicting cancer drug resistance. …”
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    Article
  7. 15787

    Privacy-Oriented Successive Approximation Image Position Follower Processing by Ying Miao, Danyang Shao, Zhimin Yan

    Published 2021-01-01
    “…The detection of human key points depends on the human pose estimation algorithm, so the research in this paper is based on the bottom-up model in the multiperson pose estimation method; firstly, all the human key points in the image are detected by feature extraction through the convolutional neural network, and then the accurate labelling of human key points is achieved by using the heat map and offset fusion optimization method in the feature point confidence map prediction, and finally, the human body detection results are obtained. …”
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    Article
  8. 15788

    Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data by Zhiwen Yu, Yue Yang, Xingshe Zhou, Yu Zheng, Xing Xie

    Published 2014-02-01
    “…Finally, we conduct link prediction by using the random walk with restart method considering the effect of every node and every edge. …”
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  9. 15789

    Quantum Computation of the Cobb–Douglas Utility Function via the 2D Clairaut Differential Equation by Isabel Cristina Betancur-Hinestroza, Éver Alberto Velásquez-Sierra, Francisco J. Caro-Lopera, Álvaro Hernán Bedoya-Calle

    Published 2024-12-01
    “…Our findings, validated through IBM-Q simulations, align with the predictions, demonstrating the robustness of our approach. …”
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  10. 15790

    A New Method for Camera Auto White Balance for Portrait by Sicong Zhou, Kaida Xiao, Changjun Li, Peihua Lai, Hong Luo, Wenjun Sun

    Published 2025-06-01
    “…Experimental results on difficult skin color reproduction task demonstrate that SCR-AWB significantly outperforms traditional AWB algorithms. It achieves lower reproduction angle errors and more accurate CCT predictions, with deviations below 300 K in most cases. …”
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  11. 15791

    Advances in Breast Cancer Care: The Role of Artificial Intelligence and Digital Pathology in Precision Medicine by Ayşe Hümeyra Dur Karasayar, İbrahim Kulaç, Nilgün Kapucuoğlu

    Published 2025-04-01
    “…The ability of AI to predict molecular markers, including human epidermal growth factor receptor 2 status, BRCA mutations and homologus recombination deficiency, offers substantial potential for the development of personalized treatment strategies. …”
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  12. 15792

    Interpretability in deep learning for finance: A case study for the Heston model by Damiano Brigo, Xiaoshan Huang, Andrea Pallavicini, Haitz Sáez de Ocáriz Borde

    Published 2026-01-01
    “…Our analysis also highlighted that Shapley values may help choose the network architecture, as we found that fully connected neural networks perform better than convolutional neural networks in predicting and interpreting the Heston model prices to parameters’ relationship.…”
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  13. 15793

    The multi-omics analysis identifies a novel endoplasmic reticulum stress and immune related genes signature in lung adenocarcinoma by Danhe Huang, Yuying Liu, Mingyu Yuan, Xiongwei Wang, Lianqing Hong

    Published 2025-07-01
    “…The nomogram demonstrated enhanced predictive accuracy compared to traditional staging systems. …”
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  14. 15794

    Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

    Published 2025-01-01
    “…This optimization aims to boost the model’s predictive precision. Finally, the IPSO-ELM algorithm is subjected to rigorous assessment via simulation, confirming its performance of accuracy and efficiency. …”
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  15. 15795

    Optimal Activity Recognition Framework Based on Improvement of Regularized Neighborhood Component Analysis (RNCA) by Norazman Shahar, Muhammad Amir As'Ari, Tan Tian Swee, Nurul Fathia Ghazali

    Published 2024-01-01
    “…Results demonstrated that RNCA-MRMR could establish an efficient algorithm that can satisfy the model validation tests with significant advantages over feature number and predictive accuracy at 93.5%, 93.7%, and 94.5% for two, three, and all four sensors respectively. …”
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