Artificial intelligence in mechatronics and civil Engineering Eshan Momeni

Por: Colaborador(es): Tipo de material: TextoEditor: Sydney, Australia Springer 2023Descripción: 247 páginas; Figuras, tablas; 25.5 cmTipo de contenido:
Tipo de medio:
  • sin mediación
Tipo de soporte:
  • volumen
ISBN:
  • 9789811987892
Clasificación CDD:
  • 21 624.028563 M732 2023
Contenidos:
Optical reistance switch for optical sensing -- Empirical, statistical, and machine learning techniques for predicting surface settlement by tunnelling -- A review on the feasibility of artificial intelligence in mechatronics -- Feasibility of artificial intelligence techniques in rock characterization -- A review on the application of soft computing technique in foundation engineering -- Aplication of a data augmentation techique on blast-induced fly-rock distance predicction -- Forescast of modern concrete properties using machine learning methods --Realibility-based design optimization of detention rockfill dams and investigation of the effect of uncertainty on their performance using meta-heuristic algorithm -- Machine learning in mechatronics and robotics and its application in face-related projects.
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
    Valoración media: 0.0 (0 votos)
Imagen de cubierta Tipo de ítem Biblioteca actual Biblioteca de origen Colección Ubicación en estantería Signatura topográfica Materiales especificados Info Vol URL Copia número Estado Notas Fecha de vencimiento Código de barras Reserva de ítems Prioridad de la cola de reserva de ejemplar Reservas para cursos
Libro Biblioteca Juliaca Sala principal Colección General 624.028563 M732 2023 (Navegar estantería) e1 Disponible FJ13302

Bibliografía en páginas: 246-247

Optical reistance switch for optical sensing -- Empirical, statistical, and machine learning techniques for predicting surface settlement by tunnelling -- A review on the feasibility of artificial intelligence in mechatronics -- Feasibility of artificial intelligence techniques in rock characterization -- A review on the application of soft computing technique in foundation engineering -- Aplication of a data augmentation techique on blast-induced fly-rock distance predicction -- Forescast of modern concrete properties using machine learning methods --Realibility-based design optimization of detention rockfill dams and investigation of the effect of uncertainty on their performance using meta-heuristic algorithm -- Machine learning in mechatronics and robotics and its application in face-related projects.

No hay comentarios en este titulo.

para colocar un comentario.