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1 |
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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2 |
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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3 |
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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4 |
Unstained Blood Smear Analysis: A Review of Rule‐Based, Machine Learning, and Deep Learning Techniques
Enthalten in Journal of biophotonics 30.06.2025. 22 S.
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5 |
Comparison of machine learning techniques to predict students’ CGPA by using course learning outcomes datasets
Enthalten in Human-intelligent systems integration 28.4.2025: 1-11
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6 |
Predicting Financial Distress Using Machine Learning Techniques
Enthalten in Asia Pacific financial markets 24.4.2025: 1-23
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7 |
Innovative Machine Learning, Isotopic, and Hydrogeochemical Techniques for Groundwater Analysis in Arid Landscapes in Egypt’s Eastern Desert
Enthalten in Earth systems and environment 21.4.2025: 1-25
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8 |
Microstructural Analysis of Ceramic Materials Through Machine Learning Techniques: A Benchmarking Interdisciplinary Review for Ceramic Material Characterization
Enthalten in Institution of Engineers, India. Karnataka State Centre: Journal of the Institution of Engineers (India) / Series D 20.4.2025: 1-19
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9 |
Training and testing of machine learning techniques to aid in prediction of patients requiring adaptive treatments for head and neck radiotherapy
Enthalten in Physical and engineering sciences in medicine 15.4.2025: 1-11
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10 |
Prediction of Urban Surface Water Quality Scenarios Using Water Quality Index (WQI), Multivariate Techniques, and Machine Learning (ML) Models in Water Resources, in Baitarani River Basin, Odisha: Potential Benefits and Associated Challenges
Enthalten in Earth systems and environment 9.4.2025: 1-37
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