Smart Geospatial Analytics for Maladaptation Hotspot Detection: Integrating Trajectory Classification, Random Forest, and SHAP [PDF]
SensorsFlooding is among the most frequent and damaging natural hazards globally, yet the population dynamics of repeatedly flooded areas remain poorly understood, particularly the phenomenon of maladaptation population growth in hazard-prone zones despite ...
Nutchanat Buasri +4 more
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Trajectory classification to support effective and efficient field-road classification [PDF]
PeerJ Computer ScienceField-road classification, which automatically identifies in-field activities and out-of-field activities in global navigation satellite system (GNSS) recordings, is an important step for the performance evaluation of agricultural machinery.
Ying Chen, Kaiming Kuang, Caicong Wu
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Vessel trajectory classification via transfer learning with Deep Convolutional Neural Networks. [PDF]
PLoS ONEThe classification of vessel trajectories using Automatic Identification System (AIS) data is crucial for ensuring maritime safety and the efficient navigation of ships. The advent of deep learning has brought about more effective classification methods,
Hwan Kim +3 more
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Understanding Multilevel Correlates of Long-Term Physical Activity Trajectories Among Middle-Aged and Older Adults: A Machine-Learning Analysis [PDF]
Behavioral SciencesBackground: Physical activity (PA) in later life is intertwined with complex, multilevel factors and represents an important behavioral science topic. This study examined heterogeneous long-term PA patterns among middle-aged and older adults and explored
Wenjing Liu +3 more
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Trajectory-aware risk stratification of oral lichen planus using a multimodal large language model: a longitudinal diagnostic accuracy study [PDF]
Scientific ReportsTo evaluate the performance of a multimodal large language model (LLM) for longitudinal trajectory classification and risk stratification of oral lichen planus (OLP), compared with expert panel consensus.
Fatma E. A. Hassanein +3 more
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The Design and Development of a Ship Trajectory Data Management and Analysis System Based on AIS
Sensors, 2021 To address the data storage, management, analysis, and mining of ship targets, the object-oriented method was employed to design the overall structure and functional modules of a ship trajectory data management and analysis system (STDMAS).
Chengxu Feng +3 more
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Using deep learning for trajectory classification in imbalanced dataset
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Deep learning has gained much popularity in the past years due to GPU advancements, cloud computing improvements, and its supremacy, considering the accuracy results when trained on massive datasets.
Nicksson Ckayo Arrais de Freitas +3 more
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A New Classification Method for Ship Trajectories Based on AIS Data
Journal of Marine Science and Engineering, 2023 Automatic identification systems (AIS) can record a large amount of navigation information about ships, including abnormal or illegal ship movement information, which plays an important role in ship supervision.
Dan Luo +4 more
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Look at Tempered Subdiffusion in a Conjugate Map: Desire for the Confinement
Entropy, 2020 The Laplace distribution of random processes was observed in numerous situations that include glasses, colloidal suspensions, live cells, and firm growth.
Aleksander Stanislavsky +1 more
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A Trajectory Classification Model Using Grammar Parsing
IEEE Access, 2020 Trajectory classification is a hot topic in the field of spatiotemporal data mining. Existing models exert spatial or temporal computation on trajectory data, which require huge efforts and are often time consuming and lack of efficiency.
Lei Bao
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