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Online Ressourcen 1 AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice
Russe, Maximilian Frederik. - Freiburg : Universität, 2024
Online Ressource
Artikel 2 Green AI‐Driven Concept for the Development of Cost‐Effective and Energy‐Efficient Deep Learning Method: Application in the Detection of Eimeria Parasites as a Case Study
Enthalten in Advanced intelligent systems 12.06.2024. 12 S.
Online Ressource
Artikel 3 Privacy-preserving collaborative AI for distributed deep learning with cross-sectional data
Enthalten in Multimedia tools and applications 7.11.2023: 1-23
Online Ressource
Artikel 4 Using deep learning techniques for solving AI planning problems specified through graph transformations
Enthalten in Soft computing 6.4.2022: 1-18
Online Ressource
Online Ressourcen 5 Machine Learning and AI Application for Shovel Loading Operation
Ali, Danish. - Saarbrücken : LAP LAMBERT Academic Publishing, 2021, 1. Auflage
Online Ressource
Artikel 6 AI for Online Customer Service: Intent Recognition and Slot Filling Based on Deep Learning Technology
Enthalten in Mobile networks and applications 23.7.2021: 1-13
Online Ressource
Artikel 7 Explainable AI for domain experts: a post Hoc analysis of deep learning for defect classification of TFT–LCD panels
Enthalten in Journal of intelligent manufacturing 26.3.2021: 1-13
Online Ressource
Artikel 8 Highly sensitive lab-on-chip with deep learning AI for detection of bacteria in water
Enthalten in International journal of information technology 16.9.2019: 1-7
Online Ressource
Artikel 9 AI-Dentify: deep learning for proximal caries detection on bitewing x-ray - HUNT4 Oral Health Study
Enthalten in BMC oral health Bd. 24, 18.3.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 10 Deep-learning-based AI for evaluating estimated nonperfusion areas requiring further examination in ultra-widefield fundus images
Enthalten in Scientific reports Bd. 12, 17.12.2022, Nr. 1, date:12.2022: 1-9
Online Ressource


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