The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...

Abstract: Connected vehicle (CV) signal control algorithms are often published as prose, yet deployment requires exact numeric execution; this paper tests whether large language models (LLMs) can ...

Facility allocation plays a crucial role in modern urban planning and design. However, the allocation of various facilities in a reasonable manner is a complex problem involving high-dimensional multi ...

As global energy demand continues to rise and the need to transition from fossil fuels becomes increasingly urgent, integrating solar farms efficiently into power grids presents a significant ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

The aviation industry is one of the most advanced and highly regulated sectors, where precision, safety, and real-time performance are paramount. As technology evolves, the integration of complex ...

The integration of #GenerativeAI (GenAI) models into software development presents unique challenges, primarily stemming from the inherent #probabilistic nature of these models. Unlike traditional, ...

Abstract: Millimeter wave (mmWave) communication is crucial for drones, leading to more being equipped with directional antennas. Consequently, the technology for fast detection of directional antenna ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Background: Quantum image processing is rapidly developing in the field of quantum computing, and it can be successfully implemented on the Noisy Intermediate-Scale Quantum (NISQ) device. Quantum ...