In the quest for stronger, more resilient buildings and infrastructure, engineers ... machine learning model combining the Extra Trees (ET) technique and the Moth-Flame Optimization (MFO) algorithm.
Hosted on MSN22d
Machine learning-based method enhances accuracy of measuring dip angles and directions in rock facetsMachine learning (ML) algorithms are constantly finding ... promising applications across many disciplines of structural and geological engineering. "The R-C-D-F method's integration of ML and ...
Devoted to faculty and students that are interested in developing new machine learning algorithms and techniques ... Machine learning methods are widely used in engineering and natural science fields ...
Machine learning is transforming the control of particle accelerators, enabling "autonomous driving" for these complex systems. Researchers from the Institute of Modern Physics and Xiamen University ...
The Department of Industrial Engineering and Management ... in complex environments through innovation in algorithms, computation, and mathematical modeling. As artificial intelligence and machine ...
Traditional 3D printing relies on trial-and-error methods, manual adjustments, and predefined settings. However, ML ...
Like other passionate developers that take studying and learning ... engineers. The guide consists of several sections, including a machine learning overview, machine learning algorithms, books ...
In the quest for stronger, more resilient buildings and infrastructure, engineers ... machine learning model combining the Extra Trees (ET) technique and the Moth-Flame Optimization (MFO) algorithm.
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 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback