9789815324051 - ai-driven computational engineering for sustainable development di gupta, subir (4 risultati)

- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 87,99
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.

- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 91,18
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 85,76
EUR 5,87 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Lingua: Inglese
Editore: Bentham Science Publishers Singapore Pte. Ltd., 2026
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 91,45
EUR 43,23 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. AI-Driven Computational Engineering for Sustainable Development explores the convergence of Artificial Intelligence (AI), Natural Language Processing (NLP), and computational engineering in shaping the transition toward Industry 5.0. The book focuses on human-centric, sustainable, and data-…driven approaches that enhance collaboration between humans and machines while improving productivity and environmental outcomes. It begins by outlining the evolution from Industry 4.0 to Industry 5.0, followed by core concepts in AI, NLP, and computational engineering. The chapters then examine real-world applications in smart manufacturing, intelligent automation, and sustainable industrial systems. The book also addresses key challenges such as data management, ethics, system integration, and the need for resilient technological frameworks, offering insights into future research and innovation directions. Key Features: -Covers AI, NLP, and computational engineering applications in Industry 5.0-Focuses on sustainable, human-centric, and data-driven industrial systems-Real-world applications and cases in smart manufacturing and intelligent automation-Discusses emerging research trends and future technological directions-Insights into challenges such as data governance, ethics, and system integration This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.