Among the key uses of AI in compliance, and in general, is the fight against money laundering. Machine learning algorithms ...

Experienced trader and quantitative strategist, specializing in strategic market analysis, explains how cognitive patterns ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

The global demand for power supplies is expected to exceed USD 46.5 billion by 2031. This growth is fueled by the ...

Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting ...

Quantum researchers have deployed a new algorithm to manage noise in qubits in real time. The method can be applied to a wide range of different qubits, even in large numbers. Noise is the "ghost in ...

Abstract: This article presents two fixed-time (FXT) distributed adaptive algorithms to solve a class of convex optimization problems for multiagent systems. First, a distributed adaptive protocol ...

Abstract: With synthetic aperture radar (SAR) systems being developed with miniaturization, lightweight, low-cost, high-resolution, and real-time capabilities, the scope of their application has ...