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Ergebnis der Suche nach: "Machine Learning"
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Artikel 671 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 672 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
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Artikel 673 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 674 The Impact of Wealth Inequality on Economic Growth: A Machine Learning Approach
Enthalten in Computational economics 11.3.2025: 1-26
Online Ressource
Artikel 675 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
Artikel 676 A multimodal approach to depression diagnosis: insights from machine learning algorithm development in primary care
Enthalten in European archives of psychiatry and clinical neuroscience 10.3.2025: 1-14
Online Ressource
Artikel 677 An inertial Hestenes-Stiefel algorithm for nonsmooth convex optimization and its applications in machine learning
Enthalten in Numerical algorithms 10.3.2025: 1-31
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Artikel 678 Enhancing Unsteady Reynolds-Averaged Navier–Stokes Modelling from Sparse Data Through Sequential Data Assimilation and Machine Learning
Enthalten in Flow, turbulence and combustion 10.3.2025: 1-39
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Artikel 679 Ensemble machine learning for predicting surface roughness improvement in chemo-mechanical post-processing of additive manufacturing dental parts
Enthalten in Progress in additive manufacturing 10.3.2025: 1-15
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Artikel 680 Machine learning approach to predict the thermal performance and friction factor of cylindrical heat exchangers with perforated conical ring turbulators
Enthalten in Journal of thermal analysis and calorimetry 10.3.2025: 1-14
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