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Ergebnis der Suche nach: "Machine Learning"
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Artikel 671 Flood severity classification in Bangladesh: a comprehensive analysis of historical weather and water level data using machine learning approaches
Enthalten in Natural hazards 12.3.2025: 1-30
Online Ressource
Artikel 672 Graphene Metasurface-Based Surface Plasmon Resonance Biosensor for Rapid COVID-19 Detection with Machine Learning Optimization
Enthalten in Plasmonics 12.3.2025: 1-18
Online Ressource
Artikel 673 Hybrid segmentation-based agricultural leaf disease detection (Hy-SALDD) using black widow optimization for feature selection, and Bayesian-optimized SVM classification
Enthalten in International journal of information technology 12.3.2025: 1-15
Online Ressource
Artikel 674 Advances and Challenges in Perovskite Oxide Design for High‐Performance Zinc–Air Batteries: Integrating Experimental Strategies and Machine Learning
Enthalten in Advanced functional materials 11.03.2025. 25 S.
Online Ressource
Artikel 675 Assessing flood susceptibility in Hanoi using machine learning and remote sensing: implications for urban health and resilience
Enthalten in Natural hazards 11.3.2025: 1-22
Online Ressource
Artikel 676 Enhancing IoT gateway management security: a deep learning based framework for intrusion detection and threat mitigation
Enthalten in International journal of information technology 11.3.2025: 1-11
Online Ressource
Artikel 677 Enhancing sputum image clarity with multi-scale deep analysis and vector median filtering
Enthalten in International journal of information technology 11.3.2025: 1-8
Online Ressource
Artikel 678 Optimizing Hyperparameters for Credit Card Fraud Detection with Nature-Inspired Metaheuristic Algorithms in Machine Learning
Enthalten in Institution of Engineers, India. Karnataka State Centre: Journal of the Institution of Engineers (India) / Series B 11.3.2025: 1-26
Online Ressource
Artikel 679 The Impact of Wealth Inequality on Economic Growth: A Machine Learning Approach
Enthalten in Computational economics 11.3.2025: 1-26
Online Ressource
Artikel 680 A Comprehensive Review of Various Machine Learning and Deep Learning Models for Anti-Cancer Drug Response Prediction: Comparative Analysis With Existing State of the Art Methods
Enthalten in Archives of computational methods in engineering 10.3.2025: 1-25
Online Ressource


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