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Shapley additive explanation on machine learning predictions of fatigue lifetimes in piston aluminum alloys under different manufacturing and loading conditions - read online free

Shapley additive explanation on machine learning predictions of fatigue lifetimes in piston aluminum alloys under different manufacturing and loading conditions - read online free

As Much Art as Science - Examining the Realization of Business Models Driven by Machine Learning Through a Dynamic Capabilities Perspective

As Much Art as Science - Examining the Realization of Business Models Driven by Machine Learning Through a Dynamic Capabilities Perspective

Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network

Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network

Empowering Medical Imaging with Artificial Intelligence - A Review of Machine Learning Approaches for COVID-19 Detection and Segmentation

Empowering Medical Imaging with Artificial Intelligence - A Review of Machine Learning Approaches for COVID-19 Detection and Segmentation

Inverse Design of Electromagnetic Metasurfaces Utilizing Infinite and Separate Latent Space Yielded by a Machine Learning-Based Generative Model

Inverse Design of Electromagnetic Metasurfaces Utilizing Infinite and Separate Latent Space Yielded by a Machine Learning-Based Generative Model

Uncertainty quantification in the machine-learning inference from neutron star probability distribution to the equation of state

Uncertainty quantification in the machine-learning inference from neutron star probability distribution to the equation of state

Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data - an application to wave energy converters

Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data - an application to wave energy converters

NHANES-GCP - Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning

NHANES-GCP - Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning

Recognizing Sitting Activities of Excavator Operators - Using Multi-Sensor Data Fusion with Machine Learning and Deep Learning Algorithms

Recognizing Sitting Activities of Excavator Operators - Using Multi-Sensor Data Fusion with Machine Learning and Deep Learning Algorithms

Parametric analysis of CO2 hydrogenation via Fischer-Tropsch synthesis - A review based on machine learning for quantitative assessment

Parametric analysis of CO2 hydrogenation via Fischer-Tropsch synthesis - A review based on machine learning for quantitative assessment

Protein Language Representation Learning to predict SARS-CoV-2 Mutational Landscape - Abstract and Thesis Overview

Protein Language Representation Learning to predict SARS-CoV-2 Mutational Landscape - Abstract and Thesis Overview

Enhanced ionic conductivity through crystallization of glass-Li3PS4 by machine learning molecular dynamics simulations

Enhanced ionic conductivity through crystallization of glass-Li3PS4 by machine learning molecular dynamics simulations

Machine learning-assisted extreme value statistics of anomalies in AlSi10Mg manufactured by L-PBF for robust fatigue strength predictions

Machine learning-assisted extreme value statistics of anomalies in AlSi10Mg manufactured by L-PBF for robust fatigue strength predictions

Lightning Location and Peak Current Estimation From Lightning-Induced Voltages on Transmission Lines - With a Machine Learning Approach

Lightning Location and Peak Current Estimation From Lightning-Induced Voltages on Transmission Lines - With a Machine Learning Approach

Inference and Denoise - Causal Inference-Based Neural Speech Enhancement

Inference and Denoise - Causal Inference-Based Neural Speech Enhancement