Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: tit all "Machine Learning Techniques"
im Bestand: Gesamter Bestand

331 - 340 von 1809

	331	Review on Mechanobiological Analysis and Computational Study of Human Tissue (Soft and Hard) Using Machine Learning Techniques: A Mechanical Perspective Enthalten in Archives of computational methods in engineering 18.9.2023: 1-16
	332	Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review Enthalten in Human-centric intelligent systems 11.9.2023: 1-28
	333	Estimation of hourly flood hydrograph from daily flows using machine learning techniques in the Büyük Menderes River Enthalten in Natural hazards 10.9.2023: 1-17
	334	Advancements in hybrid approaches for brain tumor segmentation in MRI: a comprehensive review of machine learning and deep learning techniques Enthalten in Multimedia tools and applications 7.9.2023: 1-35
	335	Automated diagnosis of bipolar depression through Welch periodogram and machine learning techniques Enthalten in Indian National Science Academy: Proceedings of the Indian National Science Academy 7.9.2023: 1-11
	336	Reliability-Based Load and Resistance Factor Design of an Energy Pile with CPT Data Using Machine Learning Techniques Enthalten in The Arabian journal for science and engineering 4.9.2023: 1-30
	337	Establishing a shallow-landslide prediction method by using machine-learning techniques based on the physics-based calculation of soil slope stability Enthalten in Landslides 31.8.2023: 1-16
	338	Potential of Machine learning techniques compared to MIKE-SHE model for drain flow predictions in tile-drained agricultural areas of Denmark Enthalten in EGUsphere 31.08.2023: 1-29. 29 S.
	339	Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review Enthalten in Theoretical and applied climatology 28.8.2023: 1-44
	340	Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques Enthalten in Advanced energy & sustainability research 23.08.2023. 20 S.