Name: Artificial Intelligence in Future Mining (Cognitive Data Science in Sustainable Computing) (en Inglés)
SKU: 63656601
Price: 179.55 USD
Availability: InStock
Author: Amir .) Razmjou
ISBN: 9780443289118

portada Artificial Intelligence in Future Mining (Cognitive Data Science in Sustainable Computing) (en Inglés)

Artificial Intelligence in Future Mining (Cognitive Data Science in Sustainable Computing) (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Amir .) Razmjou

Idioma

Inglés

N° páginas

260

Encuadernación

Tapa Blanda

ISBN13

9780443289118

N° edición

Artificial Intelligence in Future Mining (Cognitive Data Science in Sustainable Computing) (en Inglés)

Amir .) Razmjou (Autor) · Academic Press · Tapa Blanda

Libro Nuevo Importado

Envío: 22 a 30 días háb.

$ 299.26$ 179.55

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 179.55

Llega entre el 30 Sep y el 15 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Artificial Intelligence in Future Mining (Cognitive Data Science in Sustainable Computing) (en Inglés)"

Artificial Intelligence in Future Mining explores the latest developments in the use of artificial intelligence (AI) in mining and how it will impact the industry's future. The application of data science and artificial intelligence in future mining involves using advanced technologies to optimize operations, improve decision-making, and enhance safety and sustainability in the industry. After a brief history of AI in mining, the book's editors look closely at different AI techniques used. Chapters explore ocean mining, brine mining, and urban mining. With an eye towards sustainability, the editors then review the future of wastewater mining and green mining. The book wraps up with chapters on safety and risk, resource planning, and a larger discussion of the opportunities and challenges of mining with AI in the future. This book is a must-have for researchers and professionals who find themselves at the intersection of mining, engineering, and data science.