|
15951 |
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
|
|
|
|
15952 |
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
|
|
|
|
15953 |
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
|
|
|
|
15954 |
Skillful seasonal prediction of Afro-Asian summer monsoon precipitation with a merged machine learning and large ensemble approach
Enthalten in npj climate and atmospheric science Bd. 7, 18.6.2024, Nr. 1, date:12.2024: 1-8
|
|
|
|
15955 |
Skin cancer classification using machine learning
Enthalten in Multimedia tools and applications Bd. 84, 14.1.2025, Nr. 6, date:2.2025: 3239-3256
|
|
|
|
15956 |
Skin lesion classification of dermoscopic images using machine learning and convolutional neural network
Enthalten in Scientific reports Bd. 12, 28.10.2022, Nr. 1, date:12.2022: 1-11
|
|
|
|
15957 |
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning
Enthalten in npj digital medicine Bd. 6, 18.8.2023, Nr. 1, date:12.2023: 1-10
|
|
|
|
15958 |
Slicing of radial functions: a dimension walk in the Fourier space
Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 21.2.2025, Nr. 1, date:6.2025: 1-40
|
|
|
|
15959 |
Small dataset machine-learning approach for efficient design space exploration: engineering ZnTe-based high-entropy alloys for water splitting
Enthalten in npj computational materials Bd. 10, 30.7.2024, Nr. 1, date:12.2024: 1-7
|
|
|
|
15960 |
Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops
Enthalten in Scientific reports Bd. 14, 3.12.2024, Nr. 1, date:12.2024: 1-16
|
|
Administration
