|
571 |
Machine learning mapping of lattice correlated data
Kim, Jangho. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
|
|
|
|
572 |
Machine learning methods for compound annotation in non‐targeted mass spectrometry—A brief overview of fingerprinting, in silico <i>fragmentation</i> and de novo methods
Russo, Francesco F.. - Berlin : Bundesanstalt für Materialforschung und -prüfung (BAM), 2024
|
|
|
|
573 |
Machine learning methods for credit card fraud detection : a survey
Gosh Dastidar, Kanishka. - Passau : Universität Passau, 2024
|
|
|
|
574 |
Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
López Steinmetz, Lorena Cecilia. - Berlin : Technische Universität Berlin, 2024
|
|
|
|
575 |
Machine Learning Prediction of Treatment Response to Biological Disease-Modifying Antirheumatic Drugs in Rheumatoid Arthritis
Salehi, Fatemeh. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2024
|
|
|
|
576 |
Machine learning reveals correlations between brain age and mechanics
Hoppstädter, Mayra. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2024
|
|
|
|
577 |
Machine Learning Technology for EEG-Forecast of the Blood–Brain Barrier Leakage and the Activation of the Brain’s Drainage System during Isoflurane Anesthesia
Semyachkina-Glushkovskaya, Oxana. - Berlin : Humboldt-Universität zu Berlin, 2024
|
|
|
|
578 |
Machine-learning to predict anharmonic frequencies: a study of models and transferability †
Khanifaev, Jamoliddin. - Jena : Friedrich-Schiller-Universität Jena, 2024
|
|
|
|
579 |
Machine learning uncovers manganese as a key nutrient associated with reduced risk of steatotic liver disease
Schophaus, Simon. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
|
|
|
|
580 |
Machine learning with computer networks: techniques, datasets, and models
Afifi, Haitham. - Augsburg : Universität Augsburg, 2024
|
|
Administration
