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Ergebnis der Suche nach: "Machine Learning"
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16041 - 16050 von 16976

	16041	Simulation of liver function enzymes as determinants of thyroidism: a novel ensemble machine learning approach Enthalten in al- Markaz al-Qaumī li-'l-Buḥūṭ (al-Qāhira): Bulletin of the National Research Centre Bd. 46, 21.3.2022, Nr. 1, date:12.2022: 1-10
	16042	Simultaneous assessment and training of an upper-limb amputee using incremental machine-learning-based myocontrol: a single-case experimental design Enthalten in Journal of neuroEngineering and rehabilitation Bd. 20, 7.4.2023, Nr. 1, date:12.2023: 1-20
	16043	Singer identification model using data augmentation and enhanced feature conversion with hybrid feature vector and machine learning Enthalten in European Association for Speech, Signal and Image Processing: EURASIP Journal on audio, speech, and music processing Bd. 2024, 26.2.2024, Nr. 1, date:12.2024: 1-13
	16044	Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients Enthalten in Journal of cancer research and clinical oncology Bd. 150, 23.10.2024, Nr. 10, date:10.2024: 1-20
	16045	Single-cell RNA-sequencing and genome-wide Mendelian randomisation along with abundant machine learning methods identify a novel B cells signature in gastric cancer Enthalten in Discover oncology Bd. 16, 6.1.2025, Nr. 1, date:12.2025: 1-16
	16046	Single classifier vs. ensemble machine learning approaches for mental health prediction Enthalten in Brain Informatics Bd. 10, 3.1.2023, Nr. 1, date:12.2023: 1-10
	16047	Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers Enthalten in BMC medicine Bd. 20, 12.9.2022, Nr. 1, date:12.2022: 1-16
	16048	Single-shot and lensless complex-amplitude imaging with incoherent light based on machine learning Enthalten in Optical review Bd. 25, 31.7.2018, Nr. 5, date:10.2018: 593-597
	16049	Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques Enthalten in Journal of neuroEngineering and rehabilitation Bd. 20, 2.6.2023, Nr. 1, date:12.2023: 1-17
	16050	Six clinical phenotypes with prognostic implications were identified by unsupervised machine learning in children and adolescents with SARS-CoV-2 infection: results from a German nationwide registry Enthalten in Respiratory research Bd. 25, 30.10.2024, Nr. 1, date:12.2024: 1-11

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