|
1511 |
MSLP: mRNA subcellular localization predictor based on machine learning techniques
Enthalten in BMC bioinformatics Bd. 24, 22.3.2023, Nr. 1, date:12.2023: 1-23
|
|
|
|
1512 |
Multi-output machine learning techniques to predict strength characteristics of nano graphene oxide reinforced cement composites
Enthalten in Asian journal of civil engineering Bd. 26, 29.7.2025, Nr. 11, date:11.2025: 4517-4533
|
|
|
|
1513 |
Multi-resource potentiality and multi-hazard susceptibility assessments of the central west coast of India applying machine learning and geospatial techniques
Enthalten in Environmental earth sciences Bd. 82, 25.4.2023, Nr. 9, date:5.2023: 1-22
|
|
|
|
1514 |
Multiband THz MIMO antenna with regression machine learning techniques for isolation prediction in IoT applications
Enthalten in Scientific reports Bd. 15, 5.3.2025, Nr. 1, date:12.2025: 1-23
|
|
|
|
1515 |
Multidimensional binary layered model for census prediction using machine learning techniques
Enthalten in Asian journal of civil engineering Bd. 25, 24.6.2024, Nr. 6, date:9.2024: 4877-4891
|
|
|
|
1516 |
Multidisciplinary approaches to microstructural impacts on strength and fracture: from fundamental equations to machine learning techniques
Enthalten in Applied physics / A / Materials science & processing Bd. 131, 14.8.2025, Nr. 9, date:9.2025: 1-34
|
|
|
|
1517 |
Multiple sclerosis classification and segmentation in neuroimaging MRI using different machine and deep learning techniques: a review
Enthalten in Artificial intelligence review Bd. 58, 28.5.2025, Nr. 8, date:8.2025: 1-49
|
|
|
|
1518 |
MUMAL: Multivariate analysis in shotgun proteomics using machine learning techniques
Enthalten in BMC genomics Bd. 13, 19.10.2012, Nr. 5, date:10.2012: 1-13
|
|
|
|
1519 |
Muon identification in a compact single-layered water Cherenkov detector and gamma/hadron discrimination using machine learning techniques
Enthalten in The European physical journal / C / Particles and fields Bd. 81, 24.6.2021, Nr. 6, date:6.2021: 1-9
|
|
|
|
1520 |
Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques
Enthalten in Medical & biological engineering & computing Bd. 60, 14.1.2022, Nr. 3, date:3.2022: 683-699
|
|
Administration
