Artificial intelligence in mechatronics and civil Engineering

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Detalles Bibliográficos
Autor principal: Momeni, Ehsan (autor.)
Otros Autores: Danial Jahed Armaghani (Co autor.), Aydin Azizi (Co autor.)
Formato: Libro
Lenguaje:español
Publicado: Sydney, Australia Springer 2023
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100 |e autor.  |a Momeni, Ehsan, 
245 1 0 |a Artificial intelligence in mechatronics and civil Engineering  |c Eshan Momeni 
264 1 |a Sydney, Australia  |b Springer  |c 2023 
300 |a 247 páginas;  |b Figuras, tablas;  |c 25.5 cm. 
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337 |2 rdamedia  |a sin mediación 
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504 |a Bibliografía en páginas: 246-247 
505 |a 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. 
700 |e Co autor.  |a Danial Jahed Armaghani 
700 |e Co autor.  |a Aydin Azizi 
942 |2 Dewey Decimal Classification  |c Libro  |n 0 
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952 |0 No retirado  |1 No perdido  |2 Dewey Decimal Classification  |4 No dañado  |7 Disponible para préstamo  |8 Colección General  |a Biblioteca Juliaca  |b Biblioteca Juliaca  |c Sala principal  |d 2023-12-04  |e COMPRA  |l 0  |o 624.028563 M732 2023  |p FJ13302  |r 2024-01-11 09:56:31  |t e1  |y Libro