Tech Xplore on MSN9h
Machine learning-based method enhances accuracy of measuring dip angles and directions in rock facetsMachine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering ...
Researchers develop a novel methodology called Roughness-CANUPO-Dip-Facet (R-C-D-F), which leverages machine learning to ...
Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...
The result is a cutting-edge construction material that not only enhances structural ... machine learning model combining the Extra Trees (ET) technique and the Moth-Flame Optimization (MFO ...
Tech Xplore on MSN14h
AI could help overcome the hurdles to making nuclear fusion a practical energy sourceThe pursuit of nuclear fusion as a clean, sustainable energy source represents one of the most challenging scientific and ...
Tech Xplore on MSN6d
Researchers use machine learning to ensure safe structural design of steel columnsIn the quest for stronger, more resilient buildings and infrastructure, engineers are turning to innovative solutions, such as concrete-filled steel tube columns (CFST) strengthened with carbon ...
With new technologies come increased demand for developers with special and niche skills. Find out how to upskill for the future.
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