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1 |
A scoping review and quality assessment of machine learning techniques in identifying maternal risk factors during the peripartum phase for adverse child development
Tu, Hsing-Fen. - Reutlingen : Hochschule Reutlingen, 2025
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2 |
Evaluating Recycling Initiatives for Landfill Diversion in Developing Economies Using Integrated Machine Learning Techniques
Adedara, Muyiwa Lawrence. - Kiel : Universitätsbibliothek Kiel, 2025
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3 |
Forecasting of residential unit's heat demands: a comparison of machine learning techniques in a real-world case study
Kemper, Neele. - Augsburg : Universität Augsburg, 2025
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4 |
TiAlNb alloy interatomic potentials: comparing passive and active machine learning techniques with MTP and DeePMD
Chandran, Anju. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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5 |
Modeling density of carbon dioxide-saturated polyethylene glycol using machine learning techniques
Enthalten in Journal of polymer engineering Bd. 45, 2025, Nr. 8: 660-673. 14 S.
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6 |
A comprehensive review of deep learning and machine learning techniques for early-stage skin cancer detection: Challenges and research gaps
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 35 S.
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7 |
Aerosol type classification with machine learning techniques applied to multiwavelength lidar data from EARLINET
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 19: 12549-12567. 19 S.
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8 |
An In-Depth Analysis of Approaches for Forecasting Extreme Rainfall Events Leveraging Artificial Intelligence, Machine Learning, and Deep Learning Techniques
Enthalten in Earth systems and environment 20.9.2025: 1-32
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9 |
Correction to: Advances in Machine Learning and Deep Learning for Hormonal Disorder Diagnosis: An Exhaustive Review on PCOS, Thyroid, and Optimization Techniques
Enthalten in Archives of computational methods in engineering 19.9.2025: 1
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10 |
Enhancing text classification using hybrid embeddings and advanced machine learning techniques
Enthalten in International journal of system assurance engineering and management 15.9.2025: 1-16
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