Bioinspired systems for translational applications from robotics to social engineering

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.

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Bibliographische Detailangaben
Körperschaft: International Work-Conference on the Interplay Between Natural and Artificial Computation (VerfasserIn)
Weitere Verfasser: Ferrández, José Manuel (HerausgeberIn), Val Calvo, Mikel (HerausgeberIn), Adeli, Hojjat (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2024
Schriftenreihe:Lecture notes in computer science 14675
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Zusammenfassung: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.
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, 533 Seiten
Illustrationen, Diagramme
ISBN:9783031611360
978-3-031-61136-0