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Estimation of hydrogen solubility in aqueous solutions using machine learning techniques for hydrogen storage in deep saline aquifers

• Authors : Mohammad Rasool Dehghani; Hamed Nikravesh; Maryam Aghel

Subjects: Underground hydrogen storage; Hydrogen solubility; Machine learning

• Source: Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)

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Age Prediction in Healthy Subjects Using RR Intervals and Heart Rate Variability: A Pilot Study Based on Deep Learning

• Authors : Kyung Hyun Lee; Sangwon Byun

Subjects: biological age; age prediction; machine learningagris

• Source: Applied Sciences; Volume 13; Issue 5; Pages: 2932

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Age Prediction in Healthy Subjects Using RR Intervals and Heart Rate Variability: A Pilot Study Based on Deep Learning

• Authors : Kyung Hyun Lee; Sangwon Byun

Subjects: biological age; age prediction; machine learning

• Source: Applied Sciences, Vol 13, Iss 5, p 2932 (2023)

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Predicción de la producción diaria de leche en bovinos Gyr a través de métodos de aprendizaje supervisado

• Authors : Zea, Alberto; Bermúdez, Dagoberto; Jiménez, Ariel

Subjects: machine learning; milk control; cross validation

• Source: Comunicaciones en Estadística; Vol. 15 No. 1 (2022); 35-47 ; Comunicaciones en Estadística; Vol. 15 Núm. 1 (2022); 35-47 ; 2339-3076 ; 2027-3355

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Density Prediction in Powder Bed Fusion Additive Manufacturing: Machine Learning-Based Techniques

• Authors : Meet Gor; Aashutosh Dobriyal; Vishal Wankhede

Subjects: additive manufacturing; mechanical engineering; machine learningagris

• Source: Applied Sciences; Volume 12; Issue 14; Pages: 7271

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Density Prediction in Powder Bed Fusion Additive Manufacturing: Machine Learning-Based Techniques

• Authors : Meet Gor; Aashutosh Dobriyal; Vishal Wankhede

Subjects: additive manufacturing; mechanical engineering; machine learning

• Source: Applied Sciences, Vol 12, Iss 14, p 7271 (2022)

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Deep learning for biometric face recognition: experimental study on benchmark data sets ; Deep Biometrics

• Authors : Selitskaya, Natalya; Sielicki, S.; Jakaite, Livija

Subjects: biometrics; machine learning; Subject Categories::G760 Machine Learning

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Machine Learned Compact Kinetic Models for Combustion

• Authors : Kelly, Mark

Subjects: Chemical Kinetics; Data-intensive; Optimisation

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Machine Learned Compact Kinetic Models for Combustion

• Authors : Kelly, Mark;

Subjects: Chemical Kinetics; Data-intensive; Optimisation

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Unsupervised support vector machines for nonlinear blind equalization in CO-OFDM

• Authors : Giakoumidis, Ilias; Tsokanos, Athanasios; Ghanbarisabagh, Mohammad

Subjects: Optical communication; Machine learning; Signal processing

• Source: Giakoumidis, Ilias, Tsokanos, Athanasios, Ghanbarisabagh, Mohammad, Mhatli, Sofien and Barry, Liam P. orcid:0000-0001-8366-4790 (2018) Unsupervised support vector machines for nonlinear blind

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