Urbanisation presents complex challenges,including optimising land use,managing transportation networks,and ensuring equitable resource distribution.Artificial intelligence(AI)offers transformative solutions that enab...Urbanisation presents complex challenges,including optimising land use,managing transportation networks,and ensuring equitable resource distribution.Artificial intelligence(AI)offers transformative solutions that enable data-driven urban planning to improve efficiency and address system interdependencies.Despite advancements across various domains,fragmented AI implementation has limited the ability to address broader urban challenges.This paper proposes an AI-powered framework for optimising and reshaping urban spaces,underpinned by interdisciplinary integration and human-centered design.The framework combines data-driven decision-making,adaptive technologies,and participatory mechanisms to address current gaps and foster more cohesive urban systems.By prioritising inclusivity,adaptability,and sustainability,this framework offers a path toward creating resilient and inclusive urban environments.Future research should explore multi-dimensional data integration,adaptive systems,and stakeholder engagement in realizing AI’s full potential in shaping the cities of tomorrow.展开更多
With the increasing exploration of oil and gas into deep waters,the necessity for material development increases for lighter conduits such as composite marine risers,in the oil and gas industry.To understand the resea...With the increasing exploration of oil and gas into deep waters,the necessity for material development increases for lighter conduits such as composite marine risers,in the oil and gas industry.To understand the research knowledge on this novel area,there is a need to have a bibliometric analysis on composite marine risers.A research methodology was developed whereby the data retrieval was from SCOPUS database from 1977–2023.Then,VOSviewer was used to visualize the knowledge maps.This study focuses on the progress made by conducting knowledge mapping and scientometric review on composite marine risers.This scientometric analysis on the subject shows current advances,geographical activities by countries,authorship records,collaborations,funders,affiiliations,co‑occurrences,and future research areas.It was observed that the research trends recorded the highest publication volume in the U.S.A.,but less cluster affiiliated,as it was followed by countries like the U.K.,China,Nigeria,Australia and Singapore.Also,thisfiield has more conference papers than journal papers due to the challenge of adaptability,acceptance,qualifiication,and application of composite marine risers in the marine industry.Hence,there is a need for more collaborations on composite marine risers and more funding to enhance the research trend.展开更多
文摘Urbanisation presents complex challenges,including optimising land use,managing transportation networks,and ensuring equitable resource distribution.Artificial intelligence(AI)offers transformative solutions that enable data-driven urban planning to improve efficiency and address system interdependencies.Despite advancements across various domains,fragmented AI implementation has limited the ability to address broader urban challenges.This paper proposes an AI-powered framework for optimising and reshaping urban spaces,underpinned by interdisciplinary integration and human-centered design.The framework combines data-driven decision-making,adaptive technologies,and participatory mechanisms to address current gaps and foster more cohesive urban systems.By prioritising inclusivity,adaptability,and sustainability,this framework offers a path toward creating resilient and inclusive urban environments.Future research should explore multi-dimensional data integration,adaptive systems,and stakeholder engagement in realizing AI’s full potential in shaping the cities of tomorrow.
基金support of the School of Engineering,Lancaster University,UK,for the Engineering Department Studentship as well as the Engineering and Physical Sciences Research Council(EPSRC)’s Doctoral Training Centre(DTC)。
文摘With the increasing exploration of oil and gas into deep waters,the necessity for material development increases for lighter conduits such as composite marine risers,in the oil and gas industry.To understand the research knowledge on this novel area,there is a need to have a bibliometric analysis on composite marine risers.A research methodology was developed whereby the data retrieval was from SCOPUS database from 1977–2023.Then,VOSviewer was used to visualize the knowledge maps.This study focuses on the progress made by conducting knowledge mapping and scientometric review on composite marine risers.This scientometric analysis on the subject shows current advances,geographical activities by countries,authorship records,collaborations,funders,affiiliations,co‑occurrences,and future research areas.It was observed that the research trends recorded the highest publication volume in the U.S.A.,but less cluster affiiliated,as it was followed by countries like the U.K.,China,Nigeria,Australia and Singapore.Also,thisfiield has more conference papers than journal papers due to the challenge of adaptability,acceptance,qualifiication,and application of composite marine risers in the marine industry.Hence,there is a need for more collaborations on composite marine risers and more funding to enhance the research trend.
