Integrating Social Dimensions into Urban Digital Twins: A Review and Proposed Framework for Social Digital Twins DOI Creative Commons
Saleh Qanazi, Éric Leclerc, Pauline Bosredon

и другие.

Smart Cities, Год журнала: 2025, Номер 8(1), С. 23 - 23

Опубликована: Фев. 5, 2025

The rapid evolution of smart city technologies has expanded digital twin (DT) applications from industrial to urban contexts. However, current twins (UDTs) remain predominantly focused on the physical aspects environments (“spaces”), often overlooking interwoven social dimensions that shape concept “place”. This limitation restricts their ability fully represent complex interplay between and systems in settings. To address this gap, paper introduces (SDT), which integrates into UDTs bridge divide technological lived experience. Drawing an extensive literature review, study defines key components for transitioning SDTs, including conceptualization modeling human interactions (geo-individuals geo-socials), applications, participatory governance, community engagement. Additionally, it identifies essential analytical tools implementing outlines research gaps practical challenges, proposes a framework integrating dynamics within UDTs. emphasizes importance active participation through governance model offers comprehensive methodology support researchers, technology developers, policymakers advancing SDT applications.

Язык: Английский

Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges DOI Creative Commons
Shen Wang, M. Atif Qureshi, Luis Miralles‐Pechuán

и другие.

IEEE Open Journal of the Communications Society, Год журнала: 2024, Номер 5, С. 2490 - 2540

Опубликована: Янв. 1, 2024

Around 2020, 5G began its commercialization journey, and discussions about the next-generation networks (such as 6G) emerged. Researchers predict that 6G will have higher bandwidth, coverage, reliability, energy efficiency, lower latency, be an integrated "human-centric" network system powered by artificial intelligence (AI). This lead to many real-time automated decisions, ranging from resource allocation collision avoidance for self-driving cars. However, there is a risk of losing control over decision-making due high-speed, data-intensive AI may go beyond designers' users' comprehension. To mitigate this risk, explainable (XAI) methods can used enhance transparency black-box process. paper surveys application XAI towards upcoming age, including technologies intelligent radio zero-touch management) use cases industry 5.0). Additionally, summarizes lessons learned recent attempts outlines important research challenges in applying soon.

Язык: Английский

Процитировано

23

Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions DOI Creative Commons
Dalhatu Muhammed, Ehsan Ahvar, Shohreh Ahvar

и другие.

Journal of Network and Computer Applications, Год журнала: 2024, Номер 228, С. 103905 - 103905

Опубликована: Июнь 1, 2024

The Artificial Intelligence of Things (AIoT), a combination the Internet (IoT) and (AI), plays an increasingly important role in smart agriculture (SA). AIoT has been adopted many applications including agriculture, such as crop yield estimation, soil water conservation, pest disease detection supply chain management. While there are plenty studies on healthcare, cities, manufacturing, transportation, SA still small share reported research. This paper presents comprehensive review existing literature Federated Learning (FL) for SA. It identifies current potential challenges provides research direction future investment both academia industry.

Язык: Английский

Процитировано

21

A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT DOI Creative Commons

Innocent B. Ababio,

Jan Bieniek, Mohamed Rahouti

и другие.

Future Internet, Год журнала: 2025, Номер 17(1), С. 13 - 13

Опубликована: Янв. 3, 2025

Optimizing digital twins in the Industrial Internet of Things (IIoT) requires secure and adaptable AI models. The IIoT enables twins, virtual replicas physical assets, to improve real-time decision-making, but challenges remain trust, data security, model accuracy. This paper presents a novel framework combining blockchain technology federated learning (FL) address these issues. By deploying models on edge devices using FL, privacy is maintained while enabling collaboration across industrial assets. Blockchain ensures management transparency, explainable (XAI) enhances interpretability. improves control, privacy, scalability for self-optimizing IIoT. A real-world evaluation demonstrates framework’s effectiveness enhancing explainability, optimization, offering improved efficiency reliability operations.

Язык: Английский

Процитировано

4

An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing DOI Creative Commons
Vispi Karkaria, Ying-Kuan Tsai, Yi-Ping Chen

и другие.

Engineering Optimization, Год журнала: 2025, Номер unknown, С. 1 - 47

Опубликована: Янв. 3, 2025

Язык: Английский

Процитировано

4

Integrating Social Dimensions into Urban Digital Twins: A Review and Proposed Framework for Social Digital Twins DOI Creative Commons
Saleh Qanazi, Éric Leclerc, Pauline Bosredon

и другие.

Smart Cities, Год журнала: 2025, Номер 8(1), С. 23 - 23

Опубликована: Фев. 5, 2025

The rapid evolution of smart city technologies has expanded digital twin (DT) applications from industrial to urban contexts. However, current twins (UDTs) remain predominantly focused on the physical aspects environments (“spaces”), often overlooking interwoven social dimensions that shape concept “place”. This limitation restricts their ability fully represent complex interplay between and systems in settings. To address this gap, paper introduces (SDT), which integrates into UDTs bridge divide technological lived experience. Drawing an extensive literature review, study defines key components for transitioning SDTs, including conceptualization modeling human interactions (geo-individuals geo-socials), applications, participatory governance, community engagement. Additionally, it identifies essential analytical tools implementing outlines research gaps practical challenges, proposes a framework integrating dynamics within UDTs. emphasizes importance active participation through governance model offers comprehensive methodology support researchers, technology developers, policymakers advancing SDT applications.

Язык: Английский

Процитировано

3