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Artikel 1071 Intelligent Models for Diabetic Prediction Using Conventional Machine Learning Techniques and Ensemble Learning Algorithms
Enthalten in SN Computer Science Bd. 6, 22.12.2024, Nr. 1, date:1.2025: 1-9
Online Ressource
Artikel 1072 Invariant mass reconstruction of heavy gauge bosons decaying to $$\tau $$ τ leptons using machine learning techniques
Enthalten in The European physical journal / C / Particles and fields Bd. 84, 2.3.2024, Nr. 3, date:3.2024: 1-8
Online Ressource
Artikel 1073 Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
Enthalten in Journal of medical systems Bd. 48, 13.5.2024, Nr. 1, date:12.2024: 1-20
Online Ressource
Artikel 1074 Investigating structural metrics for understandability prediction of data warehouse multidimensional schemas using machine learning techniques
Enthalten in Innovations in systems and software engineering Bd. 14, 20.12.2017, Nr. 1, date:3.2018: 59-80
Online Ressource
Artikel 1075 Investigating the Psychological Outcomes Through Yoga for Stress Reduction Using Machine Learning and Statistical Techniques
Enthalten in SN Computer Science Bd. 5, 14.12.2024, Nr. 8, date:12.2024: 1-14
Online Ressource
Artikel 1076 Investigation and classification of fibre deformation using interferometric and machine learning techniques
Enthalten in Applied physics / B / Lasers and optics Bd. 126, 4.3.2020, Nr. 4, date:4.2020: 1-14
Online Ressource
Artikel 1077 IoT-Based Crop Yield Prediction System in Indian Sub-continent Using Machine Learning Techniques
Enthalten in Remote sensing in earth systems sciences Bd. 6, 24.11.2023, Nr. 3-4, date:12.2023: 156-166
Online Ressource
Artikel 1078 IoT-based group size prediction and recommendation system using machine learning and deep learning techniques
Enthalten in SN applied sciences Bd. 3, 20.1.2021, Nr. 2, date:2.2021: 1-18
Online Ressource
Artikel 1079 Kinematic Modeling for Biped Robot Gait Trajectory Using Machine Learning Techniques
Enthalten in Journal of bionic engineering Bd. 19, 19.1.2022, Nr. 2, date:3.2022: 355-369
Online Ressource
Artikel 1080 Kinematic Viscosity Prediction of Nanolubricants Employed in Heavy Earth Moving Machinery Using Machine Learning Techniques
Enthalten in International journal of precision engineering and manufacturing Bd. 21, 28.7.2020, Nr. 10, date:10.2020: 1921-1932
Online Ressource


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