Machine Learning Prediction of Collagen Fiber Orientation and Proteoglycan Content From Multiparametric Quantitative MRI in Articular Cartilage
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28353
Abstract: Machine learning models trained with multiparametric quantitative MRIs (qMRIs) have the potential to provide valuable information about the structural composition of articular cartilage. read more here.
Keywords: learning prediction; machine learning; articular cartilage; multiparametric quantitative ... See more keywords
Machine Learning Prediction of Heat Capacity for Solid Inorganics
Sign Up to like & getrecommendations! Published in 2018 at "Integrating Materials and Manufacturing Innovation"
DOI: 10.1007/s40192-018-0108-9
Abstract: Many thermodynamic calculations and engineering applications require the temperature-dependent heat capacity (Cp) of a material to be known a priori. First-principle calculations of heat capacities can stand in place of experimental information, but these calculations… read more here.
Keywords: heat; learning prediction; heat capacity; machine learning ... See more keywords
Machine learning prediction of landslide deformation behaviour using acoustic emission and rainfall measurements
Sign Up to like & getrecommendations! Published in 2021 at "Engineering Geology"
DOI: 10.1016/j.enggeo.2021.106315
Abstract: Abstract Knowledge of landslide displacement trends is important to understand risks and establish early warning trigger thresholds so that action can be taken to protect people and critical infrastructure. However, the availability of direct continuous… read more here.
Keywords: machine learning; acoustic emission; learning prediction;
Creating opportunities for L2 learning in a prediction activity
Sign Up to like & getrecommendations! Published in 2017 at "System"
DOI: 10.1016/j.system.2017.08.008
Abstract: Abstract In addressing teacher talk and its role in providing opportunities for learning in L2 classrooms, a growing number of studies have investigated different ways teachers manage learner initiatives and demonstrate L2 Classroom Interactional Competence.… read more here.
Keywords: opportunities learning; language learning; learning prediction; prediction activity ... See more keywords
Machine Learning Prediction of H Adsorption Energies on Ag Alloys
Sign Up to like & getrecommendations! Published in 2019 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.8b00657
Abstract: Adsorption energies on surfaces are excellent descriptors of their chemical properties, including their catalytic performance. High-throughput adsorption energy predictions can therefore help accelerate first-principles catalyst design. To this end, we present over 5000 DFT calculations… read more here.
Keywords: adsorption; machine learning; learning prediction; prediction adsorption ... See more keywords
Machine learning prediction of UV–Vis spectra features of organic compounds related to photoreactive potential
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-03070-9
Abstract: Machine learning (ML) algorithms were explored for the classification of the UV–Vis absorption spectrum of organic molecules based on molecular descriptors and fingerprints generated from 2D chemical structures. Training and test data (~ 75 k molecules… read more here.
Keywords: prediction vis; learning prediction; machine learning; related photoreactive ... See more keywords
Deep learning prediction of renal anomalies for prenatal ultrasound diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-59248-4
Abstract: Deep learning algorithms have demonstrated remarkable potential in clinical diagnostics, particularly in the field of medical imaging. In this study, we investigated the application of deep learning models in early detection of fetal kidney anomalies.… read more here.
Keywords: deep learning; learning prediction; kidney anomalies; prenatal ultrasound ... See more keywords
Machine learning in the prediction of human wellbeing
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-024-84137-1
Abstract: Subjective wellbeing data are increasingly used across the social sciences. Yet, despite the widespread use of such data, the predictive power of approaches commonly used to model wellbeing is only limited. In response, we here… read more here.
Keywords: use; human wellbeing; machine; learning prediction ... See more keywords
Deep learning prediction of electrode voltage for metal-ions batteries†
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Materials Chemistry A"
DOI: 10.1039/d5ta01337b
Abstract: The voltage is a critical factor in estimating the energy density of metal-ion batteries. However, the current exploration of electrode materials with ideal voltage through the trial and error is... read more here.
Keywords: deep learning; prediction electrode; voltage; learning prediction ... See more keywords
Performance metrics for tensorial learning: prediction of Li4Ti5O12 nuclear magnetic resonance observables at experimental accuracy
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Materials Chemistry A"
DOI: 10.1039/d5ta05090a
Abstract: Predicting observable quantities from first principles calculations is the next frontier within the field of machine learning (ML) for materials modelling. While ML models have shown success for the prediction... read more here.
Keywords: tensorial learning; performance metrics; metrics tensorial; learning prediction ... See more keywords
Machine Learning Prediction of Groundwater Heights from Passive Seismic Wavefield
Sign Up to like & getrecommendations! Published in 2023 at "Geophysical Journal International"
DOI: 10.1093/gji/ggad160
Abstract: Most of water reservoirs are underground and therefore challenging to monitor. This is particularly the case of karst aquifers which knowledge is mostly based on sparse spatial and temporal observations. In this study, we propose… read more here.
Keywords: learning prediction; machine; machine learning; groundwater heights ... See more keywords