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Bacteria-Specific Feature Selection for Enhanced Antimicrobial Peptide Activity Predictions Using Machine-Learning Methods
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Bacteria-Specific Feature Selection for Enhanced Antimicrobial Peptide Activity Predictions Using Machine-Learning Methods

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Machine Learning-Based Prediction and Classification of Hygrothermal Degradation in Fibre-Reinforced Composites across Multiple Architectures and Ageing Protocols
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Machine Learning-Based Prediction and Classification of Hygrothermal Degradation in Fibre-Reinforced Composites across Multiple Architectures and Ageing Protocols

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Revisiting the Mysterious Origin of FRB 20121102A with Machine-learning Classification
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Revisiting the Mysterious Origin of FRB 20121102A with Machine-learning Classification

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Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods - Towards Robust Metrics
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Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods - Towards Robust Metrics

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Data-driven inverse design of graphene Kirigami with negative Poisson's ratio using machine learning and genetic algorithms
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Data-driven inverse design of graphene Kirigami with negative Poisson's ratio using machine learning and genetic algorithms

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Cross-cultural prediction of marital satisfaction using machine learning algorithms and generic needs
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Cross-cultural prediction of marital satisfaction using machine learning algorithms and generic needs

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Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning
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Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning

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Soil erosion analysis based on machine learning method - Prediction and feature engineering using XGBoost
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Soil erosion analysis based on machine learning method - Prediction and feature engineering using XGBoost

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Predicting first-time anaphylaxis in the elderly using stacked machine learning and population registries
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Predicting first-time anaphylaxis in the elderly using stacked machine learning and population registries

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Using hyperspectral imaging and machine learning to identify food-contaminated compostable and recyclable plastics
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Using hyperspectral imaging and machine learning to identify food-contaminated compostable and recyclable plastics

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SCIENTIFIC MACHINE LEARNING FOR CLOSURE MODELS IN MULTISCALE PROBLEMS - A REVIEW
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SCIENTIFIC MACHINE LEARNING FOR CLOSURE MODELS IN MULTISCALE PROBLEMS - A REVIEW

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Detection and Classification of Twitter Users' Opinions on Drought Crises in Iran Using Machine Learning Techniques
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Detection and Classification of Twitter Users' Opinions on Drought Crises in Iran Using Machine Learning Techniques

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Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning
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Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning

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Machine learning and reaction dynamics - From spectroscopic constants of diatomic molecules to buffer gas experiments - Summary
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Machine learning and reaction dynamics - From spectroscopic constants of diatomic molecules to buffer gas experiments - Summary

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Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification?
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Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification?

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