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Ergebnis der Suche nach: "Machine Learning"
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27071 - 27080 von 28718
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Artikel 27071 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 27072 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 27073 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 27074 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 27075 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 27076 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 27077 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 27078 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 27079 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 27080 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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