Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

Media personalities and online influencers who sow social division for a living, blame the rise of assassination culture on Antifa and MAGA. Meanwhile, tech CEOs gin up fears of an AI apocalypse. But ...

Abstract: This study developed a gradient-based algorithm to synthesize arbitrary power patterns with only element phases. This algorithm does not rely on any general-purpose nonlinear solver and ...

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Every ecosystem runs on balance between stealth and detection. This video explores how animals evolved camouflage using light-bending nanostructures, pigment cells, and body pattern algorithms — and ...

Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...

Sometimes a term is so apt, its meaning so clear and so relevant to our circumstances, that it becomes more than just a useful buzzword and grows to define an entire moment. “Enshittification,” coined ...

ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...