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1731 |
Unveiling the Cutting Edge: A Comprehensive Survey of Localization Techniques in WSN, Leveraging Optimization and Machine Learning Approaches
Enthalten in Wireless personal communications Bd. 132, 29.9.2023, Nr. 4, date:10.2023: 2293-2362
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1732 |
Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study
Enthalten in European journal of medical research Bd. 29, 3.1.2024, Nr. 1, date:12.2024: 1-9
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1733 |
Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa
Enthalten in BMC medical research methodology Bd. 21, 31.7.2021, Nr. 1, date:12.2021: 1-11
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1734 |
USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-3/W4, 2018: 549-554
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1735 |
Using edge detection techniques and machine learning classifications for accurate lithological discrimination and structure lineaments extraction: a comparative case study from Gattar area, Northern Eastern Desert of Egypt
Enthalten in Arabian journal of geosciences Bd. 16, 26.10.2023, Nr. 11, date:11.2023: 1-25
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1736 |
Using Machine Learning Techniques for Rainfall Estimation Based on Microwave Links of Mobile Telecommunication Networks
Enthalten in SN Computer Science Bd. 4, 9.11.2022, Nr. 1, date:1.2023: 1-17
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1737 |
Using machine learning techniques for rationalising phenotypic readouts from a rat sleeping model
Enthalten in Journal of cheminformatics Bd. 5, 22.3.2013, Nr. 1, date:3.2013: 1
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1738 |
Using machine learning techniques for the classification of ultra-low concentrations of cannabis in biological fluids
Enthalten in Neural computing & applications Bd. 36, 7.8.2024, Nr. 31, date:11.2024: 19691-19705
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1739 |
Using machine learning techniques in multi-hazards assessment of Golestan National Park, Iran
Enthalten in Natural hazards Bd. 117, 11.6.2023, Nr. 3, date:7.2023: 3231-3255
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1740 |
Using Machine Learning techniques in phenomenological studies on flavour physics
Enthalten in Journal of high energy physics Bd. 2022, 19.7.2022, Nr. 7, date:7.2022: 1-43
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