Results 161 to 170 of about 213,557 (258)
IOTA Tangle-based traceability framework for wheat crop supply chain. [PDF]
Ahmed I, Turki M, Baklouti M, Dammak B.
europepmc +1 more source
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
IMFLKD: an incentive mechanism for decentralized federated learning based on knowledge distillation. [PDF]
Ying X, Yan K, Gao X, Huang J.
europepmc +1 more source
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source
Towards a cybersecure and privacy enhanced smart grid: A blockchain enabled federated learning framework. [PDF]
Tariq F +5 more
europepmc +1 more source
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor +3 more
wiley +1 more source
PoPI: A machine learning-based consensus mechanism for blockchain-enabled IoT systems. [PDF]
Dihan MK +5 more
europepmc +1 more source
Blockchain-enabled traceability evaluation framework for mineral resource development and utilization: a fuzzy comprehensive assessment approach. [PDF]
Ma G, Bai H, Zhao W, Yun Q, Zhang Y.
europepmc +1 more source
AI‐driven circular economy optimization in waste management: A review of current evidence
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade +3 more
wiley +1 more source

