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Machine Learning Interatomic Potentials to Predict Bond Dissociation Energies
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Machine Learning Interatomic Potentials to Predict Bond Dissociation Energies

Added by Olivia Brown
20
Remote physiological monitoring of the giant panda and red panda using near infrared spectroscopy and machine learning
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Remote physiological monitoring of the giant panda and red panda using near infrared spectroscopy and machine learning

Added by Olivia Brown
13
Optimizing Sales Performance in Creative as a Service (CaaS) Companies - A Machine Learning Approach to Opportunity Time - Series Forecasting
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Optimizing Sales Performance in Creative as a Service (CaaS) Companies - A Machine Learning Approach to Opportunity Time - Series Forecasting

Added by Lucas Martin
13
Market Volatility: Can Machine Learning Methods Enhance Volatility Forecasting? - Dissertation Abstract
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Market Volatility: Can Machine Learning Methods Enhance Volatility Forecasting? - Dissertation Abstract

Added by Lucas Martin
17
Predictive geochemical mapping using machine learning in western Kenya - Article abstract - Random Forest spatial prediction
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Predictive geochemical mapping using machine learning in western Kenya - Article abstract - Random Forest spatial prediction

Added by Lucas Martin
16
Comparative effectiveness of explainable machine learning approaches - Extrauterine growth restriction classification in preterm infants using longitudinal data
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Comparative effectiveness of explainable machine learning approaches - Extrauterine growth restriction classification in preterm infants using longitudinal data

Added by Lucas Martin
15
A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering - Paper Abstract
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A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering - Paper Abstract

Added by Lucas Martin
8
System Usability Prediction Based on Eye-Tracking Data Using Machine Learning - A Case of Text-Entry in Virtual Reality
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System Usability Prediction Based on Eye-Tracking Data Using Machine Learning - A Case of Text-Entry in Virtual Reality

Added by Lucas Martin
27
Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis - population-based study
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Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis - population-based study

Added by Lucas Martin
13
Stress, Strain, or Energy - Which One Is the Superior Parameter to Estimate Fatigue Life of Notched Components? - An Answer by a Novel Machine Learning-Based Framework
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Stress, Strain, or Energy - Which One Is the Superior Parameter to Estimate Fatigue Life of Notched Components? - An Answer by a Novel Machine Learning-Based Framework

Added by Lucas Martin
20
A smart environmental monitoring system for data centres using IoT and machine learning - Project report
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A smart environmental monitoring system for data centres using IoT and machine learning - Project report

Added by Lucas Martin
17
Identification of immune-related genes in diagnosing retinopathy of prematurity with sepsis through bioinformatics analysis and machine learning
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Identification of immune-related genes in diagnosing retinopathy of prematurity with sepsis through bioinformatics analysis and machine learning

Added by Lucas Martin
16
Graph Neural Networks for Temporal Graphs - State of the Art, Open Challenges, and Opportunities
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Graph Neural Networks for Temporal Graphs - State of the Art, Open Challenges, and Opportunities

Added by Lucas Martin
25
Incorporating statistical and machine learning techniques into the optimization of correction factors for software development effort estimation
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Incorporating statistical and machine learning techniques into the optimization of correction factors for software development effort estimation

Added by Lucas Martin
8
An extension ofiStar for Machine Learning requirements by following the PRISE methodology
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An extension ofiStar for Machine Learning requirements by following the PRISE methodology

Added by Lucas Martin
16