Simulation of the operation of an autonomous wheelchair for patients with amyotrophic lateral sclerosis with deep reinforcement learning algorithms, large language model, and tracking the patient’s iris

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dc.contributor.authorArmando de Jesús Plasencia Salgueiro
dc.contributor.authorIleana Dopico Mateo
dc.contributor.authorAlberto Salazar Peña
dc.contributor.authorBárbara Aymeé Hernández
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:41:01Z
dc.date.available2026-03-22T20:41:01Z
dc.date.issued2026
dc.identifier.doi10.1016/b978-0-443-30106-3.00020-8
dc.identifier.urihttps://doi.org/10.1016/b978-0-443-30106-3.00020-8
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/83456
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofElsevier eBooks
dc.sourceInstituto de Cibernética Matemática y Física
dc.subjectWheelchair
dc.subjectReinforcement learning
dc.subjectRobot
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectTask (project management)
dc.subjectAmyotrophic lateral sclerosis
dc.subjectDeep learning
dc.subjectProcess (computing)
dc.subjectHuman–computer interaction
dc.titleSimulation of the operation of an autonomous wheelchair for patients with amyotrophic lateral sclerosis with deep reinforcement learning algorithms, large language model, and tracking the patient’s iris
dc.typebook-chapter

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