Seismic Shifts In Commodity Markets Raise Sprott Copper Miners ETF's Investment Profile

In addition, the COPP ETF distinguishes itself through direct exposure to physical copper. With this framework, Sprott is ...
Michigan Technological University

Michigan Tech Researchers Bring Forgotten Underground Mines into a 3D Future

What began as a stack of fragile, century-old mine maps is being transformed into an immersive 3D window into the past by ...
financefeeds

China Quietly Rebuilds Its Bitcoin Mining Industry Despite 2021 Ban

Why Is Bitcoin Mining Returning to China After a Nationwide Ban? Bitcoin mining is quietly resurging in China four years after Beijing banned all cryptocurrency mining and trading, according to miners ...
Scientific Research Publishing

Alamdari, S., Basiri, M., Mousavi, A. and Soofastaei, A. (2022) Application of Machine Learning Techniques to Predict Haul Truck Fuel Consumption in Open-Pit Mines. Journal of ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Purdue University

Master of Science in Data Science

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...
IEEE

Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning

Abstract: Unsupervised feature selection is an important tool in data mining, machine learning, and pattern recognition. Although data labels are often missing, the number of data classes can be known ...
Scientific Research Publishing

Baker, R.S. and Inventado, P.S. (2014) Educational Data Mining and Learning Analytics. In: Larusson, J. and White, B., Eds., Learning Analytics, Springer, 61-75.

ABSTRACT: The 2018 General Education Program in Vietnam emphasizes personalized learning and the application of technology in teaching. This study proposes a customized learning system integrating ...
Frontiers

A hybrid machine learning model combining association rule mining and classification algorithms to predict differentiated thyroid cancer recurrence

Background: Differentiated thyroid cancer (DTC) is the most prevalent endocrine malignancy with a recurrence rate of about 20%, necessitating better predictive methods for patient management. This ...
Business Wire

Palantir Ranked No. 1 Vendor in AI, Data Science, and Machine Learning

DENVER--(BUSINESS WIRE)--Palantir Technologies Inc. (NYSE: PLTR), a leading provider of AI systems, today announced it had been recognized as a top performer by Dresner Advisory Services in the 2024 ...