The preservation of cultural heritage, as mandated by the United Nations Sustainable Development Goals (SDGs), is integral to sustainable urban development. This paper focuses on the Dragon Boat Festival, a prominent event in Chinese cultural heritage, ...

On-body menus present a novel interaction paradigm within Virtual Reality (VR) environments by embedding virtual interfaces directly onto the user’s body. Unlike traditional screen-based interfaces, on-body menus enable users to interact with virtual ...

Establishing an initial belief rule base (BRB) expert system typically relies on expert knowledge. However, the heterogeneity in knowledge arising from variations in expert cognition directly impacts the accuracy and robustness of BRB. ...

Hyperspectral image (HSI) reconstruction from the compressed measurement captured by the coded aperture snapshot spectral imager system remains a hot topic. Recently, deep-learning-based methods for HSI reconstruction have become the mainstream ...

• Propose a hyperspectral fusion theory for HSI imaging reconstruction.
• HSI imaging reconstruction is distilled to that of subspace reconstruction.
• The subspace distillation prior (SP) can improve any deep learning models.
• ...

Spatiotemporal fusion (STF) methods aim to blend satellite images with different spatial and temporal resolutions to support more frequent and precise monitoring. In the past decades, amounts of STF methods have been developed with remarkable ...

• Propose a diffusion model for STF (STFDiff) with solid theoretical basis.
• STFDiff learns the probability distribution of fine images from historical data.
• Build a benchmark dataset E-SMILE to verify the generalization of STFDiff.

As complex adaptive system involves human and social factors (e.g., changing demands, competition and collaboration among agents), accurately modeling the complex features of adaptive agents and AI society is crucial for the effective analysis and ...

Vectorized execution engines process large datasets by decomposing computations into concise (tight) loops, which can be more efficiently executed by modern hardware. Providing loops that are optimal for execution usually adds burden to the software ...

To improve the efficiency and accuracy of pavement distress detection, this paper utilizes artificial intelligence algorithms to analyze road condition videos. Although traditional detection algorithms (such as YOLO) excel in fast and accurate detection ...

By dint of the advantage of deeply integrating empirical knowledge and monitoring data, the belief rule base (BRB) is widely used to assess the performance of complex systems, including multiagent systems. However, the existing paradigms for ...

In current researches on belief rule base (BRB), input parameters are tended to be expressed in the form of quantitative values through expert knowledge combined with optimization methods. A singular quantitative value fails to capture the ...

How to efficiently train a high-performance autonomous driving agent remains a realistic and challenging issue. Although in the literature, many techniques, especially deep reinforcement learning (DRL) methods, have been developed, they are ...

• A novel pre-training DRL algorithm simplifies the pre-training phase.
• The algorithm reduces the format requirements on the demonstration data.
• The algorithm simplifies the dominance term.
• A novel priority formula fulfills ...

Pedestrian detection in densely populated scenes, particularly in the presence of occlusions, remains a challenging issue in computer vision. Existing approaches often address detection leakage by enhancing model architectures or incorporating ...

Graph Neural Network (GNN) has demonstrated significant application potential in fields such as bioinformatics, social network analysis, and financial risk management. However, explainability issues have limited their widespread adoption. Although ...

Rapid advances in wireless communication services has made limited spectrum resources increasingly scarce. One promising solution for enhancing spectrum utilization is cooperative spectrum sensing (CSS) in cognitive radio networks (CRNs). However ...

The Software Engineering (SE) community has been embracing the open science policy and encouraging researchers to disclose artifacts in their publications. However, the status and trends of artifact practice and quality remain unclear, lacking ...

• An empirical study on artifacts for software engineering publications.
• Uncover the status of 1,487 artifacts across 2,196 top-tier SE publications.
• Provide practical suggestions to different stakeholders based on findings.
• Open-...

Federated Learning (FL) has attracted increasing attention from both academia and industry due to its merit of securely constructing AI models across multiple entities while preserving the privacy of local training data. However, recent research shows ...

As a revolution in the field of transportation, the demand for communication of vehicles is increasing. Therefore, how to improve the success rate of vehicle spectrum access has become a major problem to be solved. The case of a single vehicle ...$$$$$$$$$$$$$$

To prevent adverse consequences for performance deterioration, it is of great importance to evaluate performance promptly and implement precautions at the right time. Therefore, aiming at the performance evaluation problem of complex systems, a ...

At present, in addressing security challenges within 5 G-era Vehicular Ad-Hoc Networks (VANET), a new protocol has been designed in this paper, named V2X-GKA (Dynamic Group Authentication and Key Agreement Protocol based on C-V2X). V2X-GKA ...

The matching of SAR and optical images is crucial for various remote sensing applications, such as monitoring natural disasters and change detection. However, the significant differences in geometric and radiometric properties between these two ...

• Propose novel SAR-optical image matching network.
• Adaptive selection of multi-granularity shared contents for robust matching.
• Introduce multi-granularity matching strategy.
• Flexible fusion strategy for accurate results with ...