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Artificial Intelligence for Neuroscience and Emotional Systems [electronic resource] : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part I / edited by José Manuel Ferrández Vicente, Mikel Val Calvo, Hojjat Adeli.

Contributor(s): Ferrández Vicente, José Manuel [editor.] | Val Calvo, Mikel [editor.] | Adeli, Hojjat [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 14674Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: XXIX, 543 p. 188 illus., 169 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031611407.Subject(s): Computer science | Computer networks  | Artificial intelligence | Image processing -- Digital techniques | Computer vision | Social sciences -- Data processing | Theory of Computation | Computer Communication Networks | Artificial Intelligence | Computer Imaging, Vision, Pattern Recognition and Graphics | Computer Application in Social and Behavioral SciencesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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