Published: Jan. 1, 2024
Language: Английский
Environmental Science and Ecotechnology, Journal Year: 2025, Volume and Issue: 24, P. 100526 - 100526
Published: Jan. 15, 2025
Language: Английский
Citations
4
Smart Cities, Journal Year: 2025, Volume and Issue: 8(1), P. 23 - 23
Published: Feb. 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.
Language: Английский
Citations
3
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 3166 - 3166
Published: March 14, 2025
Generative AI (GenAI) is revolutionizing digital twins (DTs) for fault diagnosis and predictive maintenance in Industry 4.0 5.0 by enabling real-time simulation, data augmentation, improved anomaly detection. DTs, virtual replicas of physical systems, already use generative models to simulate various failure scenarios rare events, improving system resilience prediction accuracy. They create synthetic datasets that improve training quality while addressing scarcity imbalance. The aim this paper was present the current state art perspectives using AI-based DTs 4.0/5.0. With GenAI, enable proactive minimize downtime, their latest implementations combine multimodal sensor generate more realistic actionable insights into performance. This provides operational profiles, identifying potential traditional methods may miss. New area include incorporation Explainable (XAI) increase transparency decision-making reliability key industries such as manufacturing, energy, healthcare. As emphasizes a human-centric approach, DT can seamlessly integrate with human operators support collaboration decision-making. implementation edge computing increases scalability capabilities smart factories industrial Internet Things (IoT) systems. Future advances federated learning ensure privacy exchange between enterprises diagnostics, evolution GenAI alongside ensuring long-term validity. However, challenges remain managing computational complexity, security, ethical issues during implementation.
Language: Английский
Citations
3
Cities, Journal Year: 2025, Volume and Issue: 158, P. 105701 - 105701
Published: Jan. 8, 2025
Language: Английский
Citations
1
Lecture notes in intelligent transportation and infrastructure, Journal Year: 2025, Volume and Issue: unknown, P. 563 - 579
Published: Jan. 1, 2025
Language: Английский
Citations
1
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(7), P. 3434 - 3434
Published: March 21, 2025
The convergence of the Internet Physical–Virtual Things (IoPVT) and Metaverse presents a transformative opportunity for safety health monitoring in outdoor environments. This concept paper explores how integrating human activity recognition (HAR) with IoPVT within can revolutionize public safety, particularly urban settings challenging climates architectures. By seamlessly blending physical sensor networks immersive virtual environments, highlights future where real-time data collection, digital twin modeling, advanced analytics, predictive planning proactively enhance well-being. Specifically, three dimensions humans, technology, environment interact toward measuring health, climate. Three cultural scenarios showcase to utilize HAR–IoPVT sensors external staircases, rural climate, coastal infrastructure. Advanced algorithms analytics would identify potential hazards, enabling timely interventions reducing accidents. also societal benefits, such as proactive monitoring, enhanced emergency response, contributions smart city initiatives. Additionally, we address challenges research directions necessary realize this future, emphasizing AI technical scalability, ethical considerations, importance interdisciplinary collaboration designs policies. articulating an AI-driven HAR vision along required advancements edge-based fusion, responsiveness fog computing, social through cloud aim inspire academic community, industry stakeholders, policymakers collaborate shaping technology profoundly improves enhances enriches quality life.
Language: Английский
Citations
1
Electronics, Journal Year: 2024, Volume and Issue: 13(24), P. 4874 - 4874
Published: Dec. 10, 2024
Rapid urbanisation has intensified the need for sustainable solutions to address challenges in urban infrastructure, climate change, and resource constraints. This study reveals that Artificial Intelligence (AI)-enabled metaverse offers transformative potential developing smart cities. AI techniques, such as machine learning, deep generative (GAI), large language models (LLMs), enhance metaverse’s capabilities data analysis, decision making, personalised user experiences. The further examines how these advanced facilitate key technologies big analytics, natural processing (NLP), computer vision, digital twins, Internet of Things (IoT), Edge AI, 5G/6G networks. Applications across various city domains—environment, mobility, energy, health, governance, economy, real-world use cases virtual cities like Singapore, Seoul, Lisbon are presented, demonstrating AI’s effectiveness However, AI-enabled presents related acquisition management, privacy, security, interoperability, scalability, ethical considerations. These challenges’ societal technological implications discussed, highlighting robust governance frameworks ethics guidelines. Future directions emphasise advancing model architectures algorithms, enhancing privacy security measures, promoting practices, addressing performance fostering stakeholder collaboration. By challenges, full can be harnessed sustainability, adaptability, livability
Language: Английский
Citations
6
Published: April 24, 2025
Play is pivotal in fostering the emotional, social, and cultural dimensions of urban spaces. While generative AI (GAI) potentially supports playful interaction, a balanced critical approach to design opportunities challenges needed. This work develops iWonder, an image-to-image GAI tool engaging fourteen designers explorations identify GAI's features create ideas. Fourteen citizens then evaluated these ideas, providing expectations concerns from bottom-up perspective. Our findings reveal dynamic interplay between users, GAI, contexts, highlighting potential facilitate experiences through agency, meaningful unpredictability, social performativity, associated offensive qualities. We propose considerations address citizen `tourist metaphor' deepen our understanding impact, offering insights enhance cities' socio-cultural fabric. Overall, this research contributes effort harness capabilities for enrichment.
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0
Smart Cities, Journal Year: 2025, Volume and Issue: 8(1), P. 34 - 34
Published: Feb. 17, 2025
Smart cities are Hyper-Connected Digital Environments (HCDEs) that transcend the boundaries of natural, human-made, social, virtual, and artificial environments. Human activities no longer confined to a single environment as our presence interactions represented interconnected across HCDEs. The data streams repositories HCDEs provide opportunities for responsible application Artificial Intelligence (AI) generates unique insights into constituent environments interplay constituents. translation poses several complex challenges originating in generation then propagating through computational layers decision outcomes. To address these challenges, this article presents design development Hyper-Automated AI framework with Generative agents sustainable smart cities. is empirically evaluated living lab setting ‘University City Future’. developed grounded on core capabilities acquisition, preparation, orchestration, dissemination, retrospection, an independent cognitive engine hyper-automation using AI. Hyper-automation output feeds human-in-the-loop process prior decision-making More broadly, aims validated pathway university future take up role prototypes deliver evidence-based guidelines management
Language: Английский
Citations
0