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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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