Artificial intelligence in mechatronics and civil engineering : bridging the gap / / edited by Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi

• Pubblicazione: Singapore : , : Springer, , [2023]; ©2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (254 pages)
• Disciplina: 060
• Soggetto topico: Artificial intelligence - Engineering applications
• Persona (resp. second.): MomeniEhsan; Jahed ArmaghaniDanial; AziziAydin
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: 1. Optical resistance switch for optical sensing -- 2. Empirical, statistical, and machine learning techniques for predicting surface settlement induced by Tunnelling -- 3. A review on the feasibility of Artificial Intelligence in Mechatronics -- 4. Feasibility of artificial intelligence techniques in rock characterization -- 5. A review on the application of soft computing techniques in Foundation Engineering.
• Sommario/riassunto: Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.
• Titolo autorizzato: Artificial intelligence in mechatronics and civil engineering
• ISBN: 981-19-8790-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910672436003321
• Lo trovi qui: Univ. Federico II
• Serie: Emerging Trends in Mechatronics, . 2731-4863