Unlike other deep learning (DL) models, Transformer has the ability to extract long-range dependency features from hyperspectral image (HSI) data. Masked autoencoder (MAE), which is based on ...

This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available ...

In this paper, a signal-guided masked autoencoder (S-MAE) based semi-supervised learning framework is proposed for high-precision positioning with limited labeled channel impulse response (CIR) ...

Accurate identification of fiducial markers, such as the left pre-auricle (LPA), right pre-auricle (RPA), and nasion, is critical for head localization, source reconstruction, anatomical alignment, ...

Innovation is thriving around the world—and the latest results from the A' Design Award & Competition make that clear. The 2024–2025 edition has recognized 1,823 remarkable designs from 115 ...

At AIA25, AI and architecture software reshape design with 3D scanning, digital twins, and tools advancing sustainable, adaptive building practices.

Its high-quality PBR-files, as demonstrated in a case study with the London-based architecture firm You+Pea, provide architects with precise tools for confident decision-making from concept to ...

Ford’s software Doug Field explains why the company cancelled its FNV4 project, and how to design a software-defined vehicle for gas and hybrid models.