Results 111 to 120 of about 32,525 (264)

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

Deep Underground Science and Engineering, EarlyView.
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, Danial Jahed Armaghani, Hossein Afrazi, Hadi Fattahi, Pijush Samui   +4 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
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, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

The EU Cities Mission: A Governance Innovation for Stockholm?

Environmental Policy and Governance, EarlyView.
ABSTRACT Acknowledging that cities play a key role in climate change mitigation, the European Union (EU) launched the Cities Mission in 2021 to accelerate urban climate action. Intended as a governance innovation, it seeks to stimulate mission‐oriented governance in cities.
Lisa Sanderink, Alexandra Buylova, César Augusto Casiano Flores   +2 more
wiley   +1 more source

Digital Rights Activism in Multilevel Governance

European Policy Analysis, EarlyView.
ABSTRACT Multilevel governance (MLG) without a clear hierarchical structure can create power imbalances among various actors, particularly in settings with overlapping jurisdictions and policy areas. This dynamic is especially pronounced in Internet governance, which faces a complex interplay of domestic laws, state interdependence, and heightened ...
Alison Harcourt
wiley   +1 more source

Mechanisms of SCN2A loss of function do not predict presence or phenotype of epilepsy

Epilepsia, EarlyView.
Abstract Objective SCN2A loss‐of‐function (LoF) variants are associated with epilepsy (onset age ≥ 3 months), intellectual disability (ID), and autism spectrum disorder (ASD). Despite numerous identified variants and the description of phenotypic subgroups, relationships between Nav1.2 channel dysfunction and clinical phenotypes remain unclear.
Marsha Tan, Beatrice Southby Goad, Meagan Allen, Jill Rodda, Kay L. Richards, Simone L. Ardern‐Holmes, Daniel Bamborschke, Daniel Fritzen, Inna Hughes, Kate Riney, Ana Roche Martinez, Angelo Russo, Adriane Sinclair, Stefano Sartori, Marina Trivisano, Angela De Dominicis, Nicola Specchio, Rikke S. Møller, Ingrid E. Scheffer, Walid Fazeli, Markus Wolff, Steven Petrou, Katherine B. Howell, Géza Berecki   +23 more
wiley   +1 more source

Research on the Impact of Power Industry Agglomeration on the Development of Energy Industry—Empirical Evidence From China's Provincial Panel

Energy Science &Engineering, EarlyView.
ABSTRACT Under the background of Global Climate Governance and “double carbon” goals, power industry agglomeration is an important path to promote the development of energy industry, and its mechanism and impact effect need to be further explored.
Tanbo Zhu, Wei Bu
wiley   +1 more source

Network topology facilitates internet traffic control in autocracies. [PDF]

PNAS Nexus
Keremoğlu E, Weidmann NB, Gamero-Garrido A, Carisimo E, Dainotti A, Snoeren AC.   +5 more
europepmc   +1 more source

POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

Energy Science &Engineering, EarlyView.
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy, Harpreet Kaur Channi, Sita Rani, Aman Kataria, Parveen Bajaj, George Uwadiegwu Alaneme   +5 more
wiley   +1 more source

Multi-Step Internet Traffic Forecasting Models with Variable Forecast Horizons for Proactive Network Management. [PDF]

Sensors (Basel)
Saha S, Haque A, Sidebottom G.
europepmc   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source