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B01=Amir Razmjou
B01=Mohsen Asadnia
Category1=Non-Fiction
Category=KNAT
Category=RBG
Category=UYQ
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Artificial Intelligence in Future Mining

★★★★★
★★★★★

English

Artificial Intelligence in Future Mining explores the latest developments in the use of artificial intelligence (AI) in mining and how it will impact the industrys 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. See more
€121.49
€134.99
Save 10%
Age Group_Uncategorizedautomatic-updateB01=Amir RazmjouB01=Mohsen AsadniaCategory1=Non-FictionCategory=KNATCategory=RBGCategory=UYQCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 01 Jan 2025

Product Details
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Jan 2025
  • Publisher: Elsevier Science Publishing Co Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780443289118

About

Amir Razmjou is an Associate Professor at Edith Cowan University and the Leader of the Mineral Recovery Research Centre (MRRC). Associate Professor Amir Razmjou (PhD from the University of New South Wales (UNSW) Sydney Australia 2012) is an experienced academic and industry professional with over 20 years of expertise in desalination water treatment membrane technology and mineral processing. As a Board Director of the Membrane Society of Australasia (MSA) and Founder of the Mineral Recovery Research Centre (MRRC) at Edith Cowan University (ECU) Western Australia Associate Professor Razmjou has made significant contributions to the fields of mining and resource extraction particularly in lithium processing. He has published over 200 peer-reviewed articles and secured research funding exceeding $9.2 million AUD. Dr. Razmjou has received awards such as the 2024 WA FHRI Fund Innovation Fellow the 2023 MSA Industry Innovation Award and the 2021 UTS Chancellor Research Fellow. He has supervised more than 40 masters and Ph.D. candidates and serves in editorial roles for journals such as Desalination DWT and JWPE. At MRRC he has established a DLE line including various processes such as membranes ion exchange and adsorption at laboratory and pilot scales. His research also includes developing and implementing advanced technologies for DLEs pretreatment and posttreatment to enhance the Li/TDS ratio and purify the final product to battery-grade quality Mohsen Asadnia is a Professor and group lader in Mechatronics-biomechanics and at Macquarie University Australia. He received his PhD degree in Mechanical Engineering from Nanyang Technological University Singapore. Prior to joining Macquarie University Mohsen had several teaching and research roles with the University of Western Australia Massachusetts Institute of Technology and Nanyang Technological University. His research interest lies in environmental/ biomedical sensors Artificial Intelligence and bio-inspired sensing.

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