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Ergebnis der Suche nach: "Machine Learning"
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27081 - 27090 von 28728
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Artikel 27081 Sign language interpretation using machine learning and artificial intelligence
Enthalten in Neural computing & applications Bd. 37, 18.11.2024, Nr. 2, date:1.2025: 841-857
Online Ressource
Artikel 27082 Sign Language Translator Using Machine Learning
Enthalten in SN Computer Science Bd. 3, 2.11.2021, Nr. 1, date:1.2022: 1-6
Online Ressource
Artikel 27083 Signal processing and machine learning for speech and audio in acoustic sensor networks
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP Journal on audio, speech, and music processing Bd. 2023, 17.12.2023, Nr. 1, date:12.2023: 1-2
Online Ressource
Artikel 27084 Signal processing implementation of low-cost target speed detection of CW radar using FPGA
Enthalten in International journal of information technology Bd. 16, 10.7.2024, Nr. 7, date:10.2024: 4565-4572
Online Ressource
Artikel 27085 Signalverarbeitung - Big Data und Digitale Zwillinge beschleunigen die Erprobungsphase
Enthalten in ATZ-Elektronik Bd. 14, 7.6.2019, Nr. 6, date:6.2019: 38-43
Online Ressource
Artikel 27086 Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection
Enthalten in Journal of grid computing Bd. 22, 23.4.2024, Nr. 2, date:6.2024: 1-15
Online Ressource
Artikel 27087 Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering
Enthalten in Scientific reports Bd. 15, 11.1.2025, Nr. 1, date:12.2025: 1-33
Online Ressource
Artikel 27088 Signatures of paracrystallinity in amorphous silicon from machine-learning-driven molecular dynamics
Enthalten in Nature Communications Bd. 16, 10.3.2025, Nr. 1, date:12.2025: 1-8
Online Ressource
Artikel 27089 Significance of EMHD graphene oxide (GO) water ethylene glycol nanofluid flow in a Darcy–Forchheimer medium by machine learning algorithm
Enthalten in The European physical journal / Plus Bd. 138, 7.3.2023, Nr. 3, date:3.2023: 1-15
Online Ressource
Artikel 27090 Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms
Enthalten in Physical and engineering sciences in medicine Bd. 48, 27.1.2025, Nr. 1, date:3.2025: 391-407
Online Ressource


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