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Implementation of an AI-based Model for Detecting Speed Variations by Means of Spectrogram Images for New Magnetic Tapes Preservation Strategies - Thesis Summary

Implementation of an AI-based Model for Detecting Speed Variations by Means of Spectrogram Images for New Magnetic Tapes Preservation Strategies - Thesis Summary

Added by Lucas Martin

Women in Leadership, Skilled Workforce, and Firm Performance in Bangladesh - A Machine Learning Analysis on Enterprise Survey Data

Women in Leadership, Skilled Workforce, and Firm Performance in Bangladesh - A Machine Learning Analysis on Enterprise Survey Data

Added by Lucas Martin

Performing Automatic Identiﬁcation and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach

Performing Automatic Identiﬁcation and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach

Added by Lucas Martin

Predicting humoral responses to primary and booster SARS-CoV-2 mRNA vaccination in people living with HIV - a machine learning approach

Predicting humoral responses to primary and booster SARS-CoV-2 mRNA vaccination in people living with HIV - a machine learning approach

Added by Lucas Martin

Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization - A Bicenter Study

Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization - A Bicenter Study

Added by Lucas Martin

COMPARISON OF MACHINE LEARNING TECHNIQUES FOR CLASSIFICATION OF DISTRIBUTED DENIAL OF SERVICE ATTACKS - BASED ON FEATURE ENGINEERING IN SDN-BASED NETWORKS

COMPARISON OF MACHINE LEARNING TECHNIQUES FOR CLASSIFICATION OF DISTRIBUTED DENIAL OF SERVICE ATTACKS - BASED ON FEATURE ENGINEERING IN SDN-BASED NETWORKS

Added by Lucas Martin

From electrons to phase diagrams with classical and machine learning potentials - automated workflows for materials science with pyiron

From electrons to phase diagrams with classical and machine learning potentials - automated workflows for materials science with pyiron

Added by Lucas Martin

NEWTON’S METHOD AND ITS HYBRID WITH MACHINE LEARNING FOR NAVIER-STOKES DARCY MODELS DISCRETIZED BY MIXED ELEMENT METHODS

NEWTON’S METHOD AND ITS HYBRID WITH MACHINE LEARNING FOR NAVIER-STOKES DARCY MODELS DISCRETIZED BY MIXED ELEMENT METHODS

Added by Lucas Martin

Development of a decision-making module in the field of real estate rental using machine learning methods

Development of a decision-making module in the field of real estate rental using machine learning methods

Added by Lucas Martin

A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations - With Associated Prediction Intervals

A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations - With Associated Prediction Intervals

Machine Learning for Predictable Design of Yeast Promoters

Machine Learning for Predictable Design of Yeast Promoters

Added by Lucas Martin

Applying Machine Learning Approach to Explore Childhood Circumstances and Self-Rated Health in Old Age - China and the US, 2020-2021

Applying Machine Learning Approach to Explore Childhood Circumstances and Self-Rated Health in Old Age - China and the US, 2020-2021

Added by Lucas Martin

机器学习平台可能与奶牛养殖师及饲料企业网站关于乳品的表述相矛盾 - 海藻饲料补充对喂养绩效的影响

机器学习平台可能与奶牛养殖师及饲料企业网站关于乳品的表述相矛盾 - 海藻饲料补充对喂养绩效的影响

Added by Lucas Martin

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