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Ergebnis der Suche nach: "Machine Learning"
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Artikel 911 Advancing SERS Applications of 2D Materials through the Interplay of Rational Design and Structure‐Property Relationships
Enthalten in Small Methods 26.02.2025. 26 S.
Online Ressource
Artikel 912 Cross-platform edge deployment of machine learning models: a model-driven approach
Enthalten in Software and systems modeling 26.2.2025: 1-25
Online Ressource
Artikel 913 Human activity recognition using a bagging-based deep learning framework with convolutional capsule networks and spiking neural networks
Enthalten in International journal of information technology 26.2.2025: 1-19
Online Ressource
Artikel 914 Hybrid model of 1D-CNN and LSTM for forecasting Ethereum closing prices: a case study of temporal analysis
Enthalten in International journal of information technology 26.2.2025: 1-13
Online Ressource
Artikel 915 Performance evaluation of various electric vehicle drive systems in energy efficient grid integrated renewable systems
Enthalten in International journal of information technology 26.2.2025: 1-18
Online Ressource
Artikel 916 Machine Learning‐Based High‐Throughput Screening, Molecular Modeling and Quantum Chemical Analysis to Investigate Mycobacterium tuberculosis MetRS Inhibitors
Enthalten in ChemistryOpen 25.02.2025. 15 S.
Online Ressource
Artikel 917 Machine Learning‐Driven Mass Discovery and High‐Throughput Screening of Fluoroether‐Based Electrolytes for High‐Stability Lithium Metal Batteries
Enthalten in Angewandte Chemie 25.02.2025. 13 S.
Online Ressource
Artikel 918 Machine Learning‐Driven Mass Discovery and High‐Throughput Screening of Fluoroether‐Based Electrolytes for High‐Stability Lithium Metal Batteries
Enthalten in Angewandte Chemie / International edition 25.02.2025. 13 S.
Online Ressource
Artikel 919 Revolutionizing the Future of Smart Materials: A Review of 4D Printing, Design, Optimization, and Machine Learning Integration
Enthalten in Advanced Materials Technologies 25.02.2025. 39 S.
Online Ressource
Artikel 920 Machine learning-based analysis of workers' exposure and detection to volatile organic compounds (VOC)
Enthalten in International journal of environmental science and technology 25.2.2025: 1-17
Online Ressource


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