https://publikationen.reutlingen-university.de/frontdoor/index/index/year/2026/docId/6342
OPUS 4 | Automated machine learning for fault diagnosis using multimodal mel-spectrogram and...
To ensure the safe and stable operation of rotating machinery, intelligent fault diagnosis methods hold significant research value. However, existing...
automated machine learningfault diagnosisopususingmultimodal
https://medinform.jmir.org/2019/4/e14044/citations
JMIR Medical Informatics - Differential Diagnosis Assessment in Ambulatory Care With an Automated...
Background: Automated medical history–taking devices (AMHTDs) are emerging tools with the potential to increase the quality of medical consultations by...
medical informaticsdifferential diagnosisambulatory carewith anjmir
https://www.kainotera.com/en/faqs/73
KAINOTERA | Legacy System Management with AI: Virtual Assistant and Automated Diagnosis
Integrate AI to centralize documentation, automate diagnostics, and streamline support for obsolete Cobol, Fortran, or Java applications.
legacy systemvirtual assistantautomated diagnosismanagement
https://avesis.atauni.edu.tr/yayin/92a7a7e7-3d2c-47eb-a0a8-bc2f2a4d6b60/a-comparative-analysis-of-deep-convolutional-networks-for-automated-diagnosis-of-retinal-detachment-in-dogs
A Comparative Analysis of Deep Convolutional Networks for Automated Diagnosis of Retinal Detachment...
comparative analysisautomated diagnosisretinal detachmentdeepconvolutional
https://cordis.europa.eu/project/id/886899/reporting/es
Automating what is not automatable Automated defect diagnosis and Machining system for manufactured...
Latest report summary
what isautomatingautomatableautomateddefect