Discover a stunning new flower feature added to our outdoor landscape, bringing vibrant color, texture, and natural beauty to the space. In this video, we showcase the design process, plant selection, ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Prospective and current Express Entry candidates have multiple different avenues to build eligible work experience for a category—and more easily obtain an ITA in the process, since category-based ...

Accurate assessment of soil salinity is critical for sustainable agriculture and food security, yet remains technically challenging at fine spatial scales.

Abstract: Feature selection is a common pre-processing step for high-dimensional datasets. Filter-Based methods rank feature relevance independently of specific classifiers. This work proposes a graph ...

ABSTRACT: This study presents an integrated Multi-Criteria Decision-Making (MCDM) framework for sustainable landfill site selection in Chegutu Municipality, Zimbabwe. Combining the Analytical ...

Abstract: Evolutionary algorithms (EAs) have shown their competitiveness in solving feature selection (FS) problem. However, when facing high-dimensional data with a number of instances, there are two ...

Predicting non-coding RNA-based regulatory networks in cancer metastasis using a heterogeneous hierarchical graph transformer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I.

Global warming caused by climate change causes some problems in agricultural production. One of these problems is the increase in various pest populations. This increase poses a serious threat to ...