Phillips & Associates reports AI algorithms are reshaping hiring practices, raising concerns over bias and legal ...
Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s ...
Copyright: © 2025 The Authors. Published by Elsevier Ltd. SGLT2i (n = 57,749) and DPP4i (n = 87,807) initiations were identified amongst people of White (n = 114,287 ...
Abstract: This paper presents a novel hybrid algorithm combining Ant Colony Optimization (ACO) and multi-model ensemble feature selection techniques to enhance the accuracy of Support Vector ...
Abstract: Selecting optimal deep learning models is often a time-consuming process. To address this challenge, we propose a novel variant of the ant colony optimization (ACO) algorithm. This approach ...
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