Artificial intelligence for neuroscience and emotional systems
Machine learning in neuroscience.- artificial intelligence in neurophysiology.- neuromotor and cognitive disorders.- intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias.- socio-cognitive, affective and physiological computing....
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2024
|
| Schriftenreihe: | Lecture notes in computer science
14674 |
| Schlagworte: |
Artificial intelligence
> Bildverarbeitung
> Business applications
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Computer Graphics / Image Processing (see also PHOTOGRAPHY / Techniques / Digital)
> COMPUTERS / Computer Science
> COMPUTERS / Computer Vision & Pattern Recognition
> COMPUTERS / Enterprise Applications
> COMPUTERS / Networking / General
> Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften
> Image processing
> Künstliche Intelligenz
> Mathematical theory of computation
> Network hardware
> Netzwerk-Hardware
> Theoretische Informatik
> Konferenzschrift
|
| Online Zugang: | Cover |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Tag hinzufügen 
| Zusammenfassung: | Machine learning in neuroscience.- artificial intelligence in neurophysiology.- neuromotor and cognitive disorders.- intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias.- socio-cognitive, affective and physiological computing.- affective computing and context awareness in ambientintelliigence.- learning tools to lecture. The two volume set LNCS 14674 and 14675 constitutes the proceedings of the 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, which took place in Olhâo, Portugal, during June 4-7, 2024. The 99 full papers presented in these proceedings were carefully reviewed and selected from 193 submissions. They were organized in topical sections as follows: Part I: Machine learning in neuroscience; artificial intelligence in neurophysiology; neuromotor and cognitive disorders; intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias; socio-cognitive, affective and physiological computing; affective computing and context awareness in ambientintelliigence; learning tools to lecture; Part II: Machine learning in computer vision and robotics; bio-inspired computing approaches; social and civil engineering through human AI translations; smart renewable energies: advancing AI algorithms in the renewable energy industry; bioinspired applications |
|---|---|
| Beschreibung: | Enthält Literaturangaben und Index |
| Beschreibung: | xxix, 543 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031611391 978-3-031-61139-1 |