Abstract: Feature selection for high-risk disease diagnosis is critical for accurate risk assessment, yet existing methods fail to incorporate medical domain knowledge, potentially leading to ...
Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
Accurate assessment of soil salinity is critical for sustainable agriculture and food security, yet remains technically challenging at fine spatial scales.
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 ...
Long before DNA unraveled the double helix of life, scientists were already tinkering with its inheritance. The idea that traits could be passed from one generation to the next fascinated early ...
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 ...
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