Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...

What if urban air taxis could, like birds, vary the configuration of their wings in flight? The answer to such questions could soon become reality through morphing wing technology assisted by ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Abstract: As electronic systems increasingly take on safety-critical tasks, establishing strong and dependable communication becomes crucial for their correct operation. Any malfunction, potentially ...

Abstract: This paper reviews representative non-Bayesian and Bayesian cooperative localization algorithms and evaluates their performance in high, medium, and low-density networks with nodes ...

The study, titled Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function ...

ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...