Users shouldn't be afraid of exploring music or letting their kids choose a song, but since Apple Music lacks manual ...

Abstract: In millimeter-wave ad hoc networks, the challenges of directional neighbor discovery (ND), combined with the emerging integration of reinforcement learning (RL), necessitate algorithms that ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Randomness is incredibly useful. People often draw straws, throw dice or flip coins to make fair choices. Random numbers can enable auditors to make completely unbiased selections. Randomness is also ...

Introduction: Pigmented rice is fascinated by consumers for its abundant phytochemicals and unique aroma. Methods: In this study, GC–MS-based metabolomics of Yangxian colored rice varieties were ...

Abstract: We consider uncoordinated random uplink non-orthogonal multiple access (NOMA) systems using a set of predetermined power levels. We propose to optimize the probabilities of selection of ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

ABSTRACT: In recent years, digital investment portfolios have become a significant area of interest in the field of machine learning. To tackle the issue of neglecting the momentum effect in risk ...

An artificial intelligence (AI)-assisted hardware design platform enables engineers to find the right components for their design projects using machine learning and smart algorithms. It selects the ...