Modulation of first-passage time for bursty gene expression via random signals by Qiuying Li, Lifang Huang, Jianshe Yu

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Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

Subjects: “…Random Forest…”
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Enhancing aboveground biomass estimation in Moso bamboo forests: the role of on-year and off-year phenomena in remote sensing by Nan Li, Nan Li, Nan Li, Mengyi Hu, Jingyi Xie, Linjia Wei, Tianzhen Wu, Wei Zhang, Wei Zhang, Wei Zhang, Shuangxi Gu, Shuangxi Gu, Shuangxi Gu, Longwei Li, Longwei Li, Longwei Li, Longwei Li

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Quadratic Forms in Random Matrices with Applications in Spectrum Sensing by Daniel Gaetano Riviello, Giusi Alfano, Roberto Garello

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Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach by Umm-e-Laila Mehdi, Khalid Mahboob, Samar Raza Talpur, Khaliq Ahmed, Mohammad Khurram

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Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea by Carla Cherubini, Giulia Cipriano, Leonardo Saccotelli, Giovanni Dimauro, Giovanni Coppini, Roberto Carlucci, Carmelo Fanizza, Rosalia Maglietta

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Evaluating the impacts of large-scale opencast copper mining on vegetation productivity change in recent thirty years: a case study of Dexing Copper Mine by Duan Huang, Zhiping Chen, Hengkai Li, Hong Chi, Ming Liao

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Brain gliomas new transcriptomic discoveries from differentially expressed genes to therapeutic targets by Shiwen Pei, Zhiquan Jiang, Hongwei Cheng

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Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning by Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen

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The association between serum albumin levels and metabolic syndrome based on the NHANES and two sample Mendelian randomization study by Yile Tang, Yong Fan, Jin Su, Zisen Yang, Zaoling Liu

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A Decomposed-Ensemble Prediction Framework for Gate-In Operations at Container Terminals by Yifan Shen, Beng Xuan, Hongtao Hu, Yansong Wu, Ning Zhao, Zhen Yang

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Machine learning based QSAR and Molecular Dynamics simulations in the structural design and mechanism of action of imidazole derivatives with anti-melanoma activity by Rosalvo Ferreira de Oliveira Neto, Sérgio Ruschi Bergamachi Silva, Cintia Emi Yanaguibashi Leal, Edilson Beserra de Alencar Filho

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A measure of the difference between test sets for generating controlled random tests by V. N. Yarmolik, V. V. Petrovskaya, I. Mrozek

Subjects: “…controlled random tests…”
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Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture by Hemkant Nehete, Sandeep Soni, Tharun Kumar Reddy Bollu, Balasubramanian Raman, Brajesh Kumar Kaushik

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Assessment of relationships between epigenetic age acceleration and multiple sclerosis: a bidirectional mendelian randomization study by Hongwei Liu, Hanqing Zhang, Zhaoxu Yin, Miaomiao Hou

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The combined effectiveness of acoustic indices in measuring bird species richness in biodiverse sites in Cyprus, China, and Australia by Christos Mammides, Pan Wuyuan, Guohualing Huang, Rachakonda Sreekar, Christina Ieronymidou, Aiwu Jiang, Eben Goodale, Harris Papadopoulos

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Genetic association between immune-mediated inflammatory diseases and peripheral artery disease: a Mendelian randomization study by Haichao Wu, Dandan Zheng, Long Zhou, Qiang Wang, Tao Wang, Siyuan Liang

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Development and validation of a machine learning-based prediction model for hepatorenal syndrome in liver cirrhosis patients using MIMIC-IV and eICU databases by Fengwei Yao, Ji Luo, Qian Zhou, Luhua Wang, Zhijun He

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Neurotrophin-3 as a mediator in the link between PM2.5 exposure and psychiatric disorders: A Mendelian randomization study by Yuan Zhang, Wei Wang, Xuening Zhang, Ran Jing, Xin Wen, Peng Xiao, Xinjie Liu, Zengle Zhao, Tongmin Chang, Yufei Li, Wen Liu, Chenxi Sun, Xiaorong Yang, Lejin Yang, Ming Lu

Subjects: “…Mendelian randomization…”
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Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction by Chandan Kumar, Gabriel Walton, Paul Santi, Carlos Luza

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