Leveraging Diverse Cell-Death Patterns to Decipher the Interactive Relation of Unfavorable Outcome and Tumor Microenvironment in Breast Cancer by Yue Li, Ting Ding, Tong Zhang, Shuangyu Liu, Jinhua Wang, Xiaoyan Zhou, Zeqi Guo, Qian He, Shuqun Zhang

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EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis by Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

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VA-Creator—A Virtual Appliance Creator based on adaptive Neural Networks to generate synthetic power consumption patterns by Michael Meiser, Benjamin Duppe, Ingo Zinnikus, Alexander Anisimov

“…With the advent of the Smart Home domain and the increasingly widespread application of Machine Learning (ML), obtaining power consumption data is becoming more and more important. …”
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A Model for Detecting <i>Xanthomonas campestris</i> Using Machine Learning Techniques Enhanced by Optimization Algorithms by Daniel-David Leal-Lara, Julio Barón-Velandia, Lina-María Molina-Parra, Ana-Carolina Cabrera-Blandón

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Hamming Diversification Index: A New Clustering-Based Metric to Understand and Visualize Time Evolution of Patterns in Multi-Dimensional Datasets by Sarthak Pattnaik, Eugene Pinsky

Subjects: “…machine learning…”
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Elucidating the dynamic tumor microenvironment through deep transcriptomic analysis and therapeutic implication of MRE11 expression patterns in hepatocellular carcinoma by Ruiqiu Chen, Chaohui Xiao, Zizheng Wang, Guineng Zeng, Shaoming Song, Gong Zhang, Lin Zhu, Penghui Yang, Rong Liu

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Random forest-driven mortality prediction in critical IBD care: a dual-database model integrating comorbidity patterns and real-time physiometrics by Zhenze Zhang, Zhenze Zhang, Caiqing Zhao, Caiqing Zhao, Yijun Zhou, Ling Yao, Peng Liu, Ziling Fang, Nian Fang, Nian Fang

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Snow depth inversion and mapping at 500 m resolution from 1980 to 2020 in Northeast China using radiative transfer model and machine learning by Yanlin Wei, Xiaofeng Li, Lingjia Gu, Zhaojun Zheng, Xingming Zheng, Tao Jiang

“…Compared to existing SD products, NCSD data effectively avoid mixed pixel issues, improved SD retrieval performance, and reveal more refined snow cover spatiotemporal patterns. Additionally, the NCSD results indicated that the annual average SD in Northeast China exhibited an increasing trend from 1980 to 2020 (0.26 cm/10a, p > 0.05). …”
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Technology and equipment of vertical‑stack molding for the production of castings without pattern drafts by V. V. Fonov, S. N. Grechanik, D. M. Golub

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OHSCR: Benchmarks Dataset for Offline Handwritten Sindhi Character Recognition by Jakhro Abdul Naveed, Mudasar Ahmed Soomro, Leezna Saleem, Muhammad Khalid Shaikh

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Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognition by Ishan Panta, Biplov Paneru, Bishwash Paneru, Bipul Thapa

Subjects: “…Machine learning…”
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Trends of health behaviors among cancer patients in Korea: a cross-sectional time series analysis by Noor Afif Mahmudah, Young-Kwon Park, Minsu Ock

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DNA methylation biomarker analysis from low-survival-rate cancers based on genetic functional approaches by Yi-Hsuan Tsai, Prasenjit Mitra, David Taniar, Tun-Wen Pai, Tun-Wen Pai

Subjects: “…comorbidity pattern…”
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Technical note: Impact of tissue section thickness on accuracy of cell classification with a deep learning network by Ida Skovgaard Christiansen, Rasmus Hartvig, Thomas Hartvig Lindkær Jensen

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Distribution mapping and risk assessment of lead in topsoil across the Tibetan Plateau by Linglong Chen, Ruxia Li, Ru Zhang, Yi Yang, Yonghua Li

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Using a Light Gradient-Boosting Machine–Shapley Additive Explanations Model to Evaluate the Correlation Between Urban Blue–Green Space Landscape Spatial Patterns and Carbon Sequestration by Yuting Wu, Mengya Luo, Shaogang Ding, Qiyao Han

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Optimizing Urban Thermal Environments Through 2D/3D Landscape Pattern Analysis: A Machine Learning-Driven Approach for the Yangtze River Delta Urban Agglomeration by Haoshan Zhou, Ruci Wang, Hao Hou, Bin Xie, Tangao Hu

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Future-Oriented Civil and Private Law: Integrating Artificial Intelligence (AI) and Machine Learning (ML) Technologies by Alawamleh Atef Salem

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Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learnin... by Mahnoosh Moghaddasi, Mansour Moradi, Mehdi Mohammadi Ghaleni, Mehdi Jamei

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A Novel Case Base Reasoning and Frequent Pattern Based Decision Support System for Mitigating Software Risk Factors by Muhammad Asif, Jamil Ahmed

“…Secondly, rule based machine learning approach has been used for mining of associations between risks and mitigations. …”
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