How artificial intelligence challenges tailorable technology design
Pascal Fechner, Fabian König, Jannik Lockl, Maximilian Röglinger
| Year of publication: |
2024
|
|---|---|
| Authors: | Fechner, Pascal ; König, Fabian ; Lockl, Jannik ; Röglinger, Maximilian |
| Published in: |
Business & information systems engineering. - Atlanta, Georgia : AIS, ISSN 1867-0202, ZDB-ID 2478345-6. - Vol. 66.2024, 3, p. 357-376
|
| Subject: | Bladder monitoring | Deep transfer learning | Individualization | Neurogenic lower urinary tract dysfunction | Smart wearables | Theory of tailorable technology design |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s12599-024-00872-9 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014582618