|
1171 |
Modeling the gasification process in producing raw gases and solids using machine learning techniques in combination with optimization algorithms
Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 26.11.2024, Nr. 1, date:1.2025: 1-22
|
|
|
|
1172 |
Modeling the spatial variation of calcium carbonate equivalent to depth using machine learning techniques
Enthalten in Environmental monitoring and assessment Bd. 195, 25.4.2023, Nr. 5, date:5.2023: 1-16
|
|
|
|
1173 |
Modelling of land use land cover changes using machine learning and GIS techniques: a case study in El-Fayoum Governorate, Egypt
Enthalten in Environmental monitoring and assessment Bd. 195, 3.5.2023, Nr. 6, date:6.2023: 1-15
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|
|
|
1174 |
Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques
Enthalten in Computational urban science Bd. 5, 8.4.2025, Nr. 1, date:12.2025: 1-12
|
|
|
|
1175 |
Moisture Content Prediction Model for Pharmaceutical Granules Using Machine Learning Techniques
Enthalten in Journal of pharmaceutical innovation Bd. 20, 16.1.2025, Nr. 1, date:2.2025: 1-13
|
|
|
|
1176 |
Mood detection and prediction using conventional machine learning techniques on COVID19 data
Enthalten in Social network analysis and mining Bd. 12, 21.9.2022, Nr. 1, date:12.2022: 1-23
|
|
|
|
1177 |
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
Enthalten in BMC medical informatics and decision making Bd. 23, 23.1.2023, Nr. 1, date:12.2023: 1-17
|
|
|
|
1178 |
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
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|
|
|
1179 |
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
|
|
|
|
1180 |
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
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