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1211 |
Parkinson’s disease prediction and drug personalization using machine learning techniques
Enthalten in Soft computing Bd. 27, 2.7.2023, Nr. 17, date:9.2023: 12669-12675
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1212 |
Patient classification and attribute assessment based on machine learning techniques in the qualification process for surgical treatment of adrenal tumours
Enthalten in Scientific reports Bd. 14, 16.5.2024, Nr. 1, date:12.2024: 1-11
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1213 |
Performance Analysis of Anomaly-Based Network Intrusion Detection Using Feature Selection and Machine Learning Techniques
Enthalten in Wireless personal communications Bd. 138, 4.10.2024, Nr. 4, date:10.2024: 2321-2351
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1214 |
Performance analysis of attributes selection and discretization of Parkinson’s disease dataset using machine learning techniques: a comprehensive approach
Enthalten in International journal of system assurance engineering and management Bd. 14, 6.6.2023, Nr. 4, date:8.2023: 1523-1529
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1215 |
Performance evaluation of machine learning and statistical techniques for modelling landslide susceptibility with limited field data
Enthalten in Earth science informatics Bd. 16, 15.12.2022, Nr. 1, date:3.2023: 1025-1039
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1216 |
Performance evaluation of software defect prediction with NASA dataset using machine learning techniques
Enthalten in International journal of information technology Bd. 15, 4.10.2023, Nr. 8, date:12.2023: 4131-4139
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1217 |
PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection
Enthalten in Scientific reports Bd. 14, 10.5.2024, Nr. 1, date:12.2024: 1-38
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1218 |
Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials
Enthalten in CABI agriculture and bioscience Bd. 5, 14.4.2024, Nr. 1, date:12.2024: 1-12
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1219 |
Poverty Mapping in India using Machine Learning and Deep Learning Techniques
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4-2024, 2024: 319-326. 8 S.
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1220 |
Practical big data techniques for end-to-end machine learning deployment: a comprehensive review
Enthalten in Discover data Bd. 3, 15.4.2025, Nr. 1, date:12.2025: 1-18
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