Physics-informed model creates reconstructions based on experimental data, revealing plasma asymmetries and helping optimize ...

Abstract: This paper proposes a novel and simple multilayer feature learning method for image classification by employing the extreme learning machine (ELM). The proposed algorithm is composed of two ...

Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely ...

stitch *.jpg stitches all jpg files in the current directory stitch img_dir/IMG*.jpg stitches all files in the img_dir directory starting with "IMG" and ending with ".jpg" stitch img1.jpg img2.jpg ...

Abstract: Visible and infrared image fusion (VIF) has attracted a lot of interest ... In addition to conventional VIF methods, an increasing number of deep learning-based VIF methods have been ...

These are not just research projects—they are powering live services ... Recommender systems and multi-task learning platforms have also benefited from MoEs. For instance, YouTube’s recommendation ...

Machine learning models analyze historical demand ... These forecasts enable proactive budget management, allowing teams to intervene early if projects risk exceeding their budgets. Integrated what-if ...