Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

The final, formatted version of the article will be published soon. In this study, a ternary blended geopolymer mortar was optimised by incorporating GGBS, metakaolin, and paper sludge ash using the ...

FOSDEM 2026 Amid growing interest in digital sovereignty and getting data out of the corporate cloud and into organizations' ownership, the Matrix open communication protocol is thriving. The project ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Feb 1 (Reuters) - Elon Musk said on Sunday that moves by his SpaceX company to stop the 'unauthorized' use by Russia of its internet system Starlink seemed to have worked, while Kyiv's defence chief ...

Abstract: This paper introduces a Real Estate Development Evaluation Model that integrates advanced predictive and evaluative techniques to prioritize areas for real estate development. Initially, ...