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Distinguishing Methane from Other Hydrocarbons Using Machine Learning and Atmospheric Pressure Plasma Optical Emission Spectroscopy
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Methods of machine learning for the analysis of cosmic rays mass composition with the KASCADE experiment data - research paper
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Assessing Pedestrian Safety on Roads Through Machine Learning Approaches for State Highways in Washington State - Final Project Report
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Using machine learning to identify primary features in choosing electric vehicles based on income levels - Data Science and Management 7 - Issue 1
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Generative adversarial networks for data-scarce radiative heat transfer applications
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First quantum machine learning applications on an on-site room-temperature quantum computer
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Exploring the Intersection of Multi-Omics and Machine Learning in Cancer Research - Inaugural-Dissertation
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FSscore: A Personalized Machine Learning-based Synthetic Feasibility Score - Focused Synthesizability score - Human-in-the-loop
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Predicting Response to Enzalutamide and Abiraterone in Metastatic Prostate Cancer Using Whole-Omics Machine Learning
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Machine Learning Models with Fault Tree Analysis for Explainable Failure Detection in Cloud Computing - Paper
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Machine learning techniques for diagrid building design - Architectural–Structural correlations with feature selection and data augmentation
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Multi-country analysis of the COVID-19 pandemic typology using machine learning and neural network algorithms - paper results for 30 European countries (2020-2022)
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Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach - Journal of Transport Geography 116 (2024) 103828
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Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing - Article summary and key findings
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