Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Mindmachines.com announces significant enhancements to its RoshiWave IN-SIGHT Mind Machine, incorporating expanded protocols ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...

We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Seth Berkman Seth Berkman ...

Operations research (OR) and machine learning (ML) techniques, when used in isolation, are often inadequate for addressing complex optimization problems. While OR struggles with combinatorial ...

Abstract: In practical applications, the simultaneous optimization of numerous design parameters in time-consuming multi-objective optimization experiments is recognized as a significant bottleneck ...

Abstract: Existing data-driven optimization methods struggle to address composite-merit antenna design problems efficiently. In this paper, an efficient grey box machine-learning-assisted optimization ...

1 Department of Computer Science, University of Technology, Baghdad, Iraq 2 Department of Computer Science and Engineering, Artificial Intelligence and Innovation Centre (AIIC), University of ...

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...

No audio available for this content. High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, ...