volume 2 (2025), Issue 1

Review Article
Research on cultural experience space design and service innovation in rural tourism

Lei Wen*

As the hustle and bustle of the city gradually fades away, rural tourism shows its unique charm, becoming not only a spiritual home for modern people, but also a living fossil of cultural inheritance. Through comprehensive analyses and case studies, this study explores how to enhance the attractiveness of rural tourism.

www.doi.org/10.52768/3067-7947/1022
Perspective
Perspectives on the potential of generative AI to alleviate human idiosyncratic editorial decision-making: If it is broken, fix it now

Malik Sallam*

The scientific publishing enterprise claims to be a bastion of objectivity and integrity. In theory, it is governed by meritocracy, expertise, and impartial editorial oversight and peer review. However, in practice, it is sustained by a system that has always relied on subjective human judgment which is often compromised by ego, emotion, institutional bias, and cognitive inconsistency.

www.doi.org/10.52768/3067-7947/1021
Research Article
Hierarchical multi-agent reinforcement learning with graph neural networks for cross-scale ecosystem protection

Zhuodong Liu*

We propose a hierarchical Multi-Agent Reinforcement Learning (MARL) framework augmented with Graph Neural Networks (GNNs) to address the challenges of cross-scale ecological interactions in ecosystem protection.

www.doi.org/10.52768/3067-7947/1020
Review Article
HYDRIA - An integrated underwater ROV system for archaeological research

Georgia Peleka*; Georgios Zampokas; Giorgos Giouvanis; Konstantinos Paraskevas; Charalampos Polychroniadis; Thanasis Antamis; Michalis Skoumperdis; Ioannis Mariolis; Dimitrios Giakoumis; Dimitrios Tzovaras

This paper introduces HYDRIA, an advanced underwater Remotely Operated Vehicle (ROV) for archaeological research, featuring modular hardware and sophisticated software for semi-autonomous operations.

www.doi.org/10.52768/3067-7947/1019
Research Article
The current status and challenges of artificial intelligence in the digital preservation of cultural heritage

Qin Yu Fu; Si Han Dong; Chun Hong Yuan*

Artificial Intelligence (AI) technologies are increasingly being applied in the field of digital preservation of cultural heritage, offering new approaches for the documentation, restoration, management, and dissemination of cultural artifacts.

www.doi.org/10.52768/3067-7947/1018