Results 1 to 10 of about 4,033,844 (218)
Fuel consumption differs between the hybrid electric vehicle (HEV) and the conventional vehicle (CV). However, traditional fuel consumption models developed for CVs are commonly applied to HEVs, which leads to uncertainties in the quantitative evaluation
Fei Peng +5 more
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DTUMOS, digital twin for large-scale urban mobility operating system
The advancement of digital twin technology has significantly impacted the utilization of virtual cities in the realm of smart cities and mobility. Digital twins provide a platform for the development and testing of various mobility systems, algorithms ...
Hyeokju Yeon +3 more
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Background The aim of this study was to determine the prevalence of high-risk human papillomavirus (HR-HPV) and the correlation between multiple infections and cervical lesions.
Qinli Luo +6 more
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In order to tackle the congestion and environmental issues, customized bus services are proposed and deployed in metropolitan areas. As emerging public transportation services, customized bus services bring passengers more convenience and accessibility ...
Shouqiang Xue +4 more
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Variable traffic conditions cause travel time uncertainty and further lead to time-varying accessibility. Most current studies do not fully consider fluctuations in accessibility and use complicated methods that likely overestimate the level of ...
Zhongsheng Xiao +4 more
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regium@Lepidi 2200 is an international project designed with the scope to study and virtually reconstruct the Roman city of Regium Lepidi (Reggio Emilia).
Maurizio Forte, Nevio Danelon
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MCR: Multilayer cross‐fusion with reconstructor for multimodal abstractive summarisation
Multimodal abstractive summarisation (MAS) aims to generate a textual summary from multimodal data collection, such as video‐text pairs. Despite the success of recent work, the existing methods lack a thorough analysis for consistency across multimodal ...
Jingshu Yuan +4 more
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A framework for traffic congestion prediction and visualization based on machine learning and Fuzzy Comprehensive Evaluation named MF-TCPV is proposed in this paper.
Leixiao Li +4 more
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Prediction of high-speed train delay propagation based on causal text information
The delay-causing text data contain valuable information such as the specific reasons for the delay, location and time of the disturbance, which can provide an efficient support for the prediction of train delays and improve the guidance of train control
Qianyi Liu +5 more
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Detection and identification of tea leaf diseases based on AX-RetinaNet
The accurate detection and identification of tea leaf diseases are conducive to its precise prevention and control. Convolutional neural network (CNN) can automatically extract the features of diseased tea leaves in the images.
Wenxia Bao +4 more
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