11 hours ago · ... Gaussian processes and other methods, mainly to identify rock types. (iii) ... This approach enhances interaction and feedback among models during training.

21 hours ago · Experimental studies on UHPC have proven to be a viable and effective approach to study the creep behavior [7,8,9,10,11,12,13,14,15,16]. However, these methods ...

12 hours ago · Novel hybrid machine learning approach for predicting structural response of RC beams under blast loading ... Gaussian processes for machine learning. vol ...

10 hours ago · Deep neural network methods are useful for large-scale, multidimensional data analysis [47]. Deep Learning (DL) is a special type of machine learning approach ...

1 hour ago · Identifying the origin and conditions of basalt generation is a crucial yet formidable task. To tackle this challenge, we introduce an innovative approach ...

13 hours ago · In this paper, we developed a novel computational approach based on machine learning techniques, an ensemble framework, and fully predicted peptide information ...

10 hours ago · Hello everyone, I am trying to build a fast approach to the traveling salesperson problem ... I have a graph (G) built from real-world data, which means there's a ...

20 hours ago · The purpose of this project is to find the best machine learning approach which can detect the unexpanded sealing of the battery lids of the cars. The data for ...

4 hours ago · The reinforcement learning approach provides an efficient way to learn the optimal control in (2.1)-(2.2) in the unknown environment through the repeated ...

4 hours ago · It plays a crucial role in machine learning and data mining by aiming ... A group incremental approach to feature selection applying rough set technique.