AIMC Topic: Transportation
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Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction.
PloS one
Jun 11, 2025
Accurate traffic flow prediction is vital for intelligent transportation systems but presents significant challenges. Existing methods, however, have the following limitations: (1) insufficient exploration of interactions across different temporal sc...
Exploring the drivers of digital transformation in Chinese port and shipping enterprises: A machine learning approach.
PloS one
May 5, 2025
With the transition to a global green low-carbon economy, the urgency for digital transformation in the port and shipping industry has become increasingly prominent in making enterprises more efficient and sustainable. This study focuses on how Chine...
The analysis of rural revitalization serviceplatform in smart city under back propagation neural network.
PloS one
Mar 18, 2025
To achieve rural revitalization and enhance the development of rural tourism, this study employs a back propagation neural network (BPNN) to construct a rural revitalization development model. Additionally, the Grey Relation Analysis (GRA) algorithm ...
Toward a conceptual model to improve the user experience of a sustainable and secure intelligent transport system.
Acta psychologica
Mar 12, 2025
The rapid advancement of automotive technologies has spurred the development of innovative applications within intelligent transportation systems (ITS), aimed at enhancing safety, efficiency and sustainability. These applications, such as advanced dr...
Uncovering soil heavy metal pollution hotspots and influencing mechanisms through machine learning and spatial analysis.
Environmental pollution (Barking, Essex : 1987)
Feb 21, 2025
Soil heavy metal (HM) pollution is a significant and widespread environmental issue in China, highlighting the need to quantify influencing factors and identify priority concern areas for effective prevention and management. Based on published litera...
Subway opening enables urban green development: Evidence from difference-in-differences and double dual machine learning methods.
Journal of environmental management
Jan 22, 2025
Urban rail transport is an important part of transport infrastructure, which is significant in empowering green-oriented urban development. However, few studies in the existing literature explore the effect of subway opening on urban green developmen...
Interpretable machine learning for identifying overweight and obesity risk factors of older adults in China.
Geriatric nursing (New York, N.Y.)
Jan 4, 2025
OBJECTIVE: To estimate the importance of risk factors on overweight/obesity among older adults by comparing different predictive model.
Safety After Dark: A Privacy Compliant and Real-Time Edge Computing Intelligent Video Analytics for Safer Public Transportation.
Sensors (Basel, Switzerland)
Dec 19, 2024
Public transportation systems play a vital role in modern cities, but they face growing security challenges, particularly related to incidents of violence. Detecting and responding to violence in real time is crucial for ensuring passenger safety and...
Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks.
Poultry science
Dec 6, 2024
Dead on arrival (DOA) refers to animals, particularly poultry, that die during the pre-slaughter phase. Elevated rates of DOA frequently signify substandard welfare conditions and might stem from multiple causes, resulting in diminished productivity ...
SE-MAConvLSTM: A deep learning framework for short-term traffic flow prediction combining Squeeze-and-Excitation Network and Multi-Attention Convolutional LSTM Network.
PloS one
Dec 5, 2024
Traffic flow prediction is an important part of transportation management and planning. For example, accurate demand prediction of taxis and online car-hailing can reduce the waste of resources caused by empty cars. The prediction of public bicycle f...
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