[HTML][HTML] Generate-Paste-Blend-Detect: Synthetic dataset for object detection in the agriculture domain

N Giakoumoglou, EM Pechlivani, D Tzovaras - Smart Agricultural …, 2023 - Elsevier
Object detection is a challenging task, hindered by the scarcity of large annotated datasets.
In agriculture, the lack of annotated insect datasets often results in domain-specific models …

Determining user specific semantics of locations extracted from trajectory data

J Golze, M Sester - Transportation research procedia, 2024 - Elsevier
Abstract Knowledge about people's daily travel behavior is very relevant for transportation
planning, but also for urban and regional planning in general. This information is typically …

Cave-sc: Inferring categories for venues using check-ins

H Xu, R Xu, M Chen, Y Liu, X Yu - Information Sciences, 2022 - Elsevier
The categories of venues are labels, such as Museum and Bar, assigned to geographic
locations. They are often incomplete and new venues may constantly arise, making …

A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering …

X Sun, J Guo, Y Qin, X Zheng, S **ong, J He, Q Sun… - Entropy, 2024 - mdpi.com
Spatiotemporal information on individual trajectories in urban rail transit is important for
operational strategy adjustment, personalized recommendation, and emergency command …

Early Detection of Suspicious Behaviors for Safe Residence from Movement Trajectory Data

J Cheng, X Zhang, X Chen, M Ren, J Huang… - … International Journal of …, 2022 - mdpi.com
Early detection of people's suspicious behaviors can aid in the prevention of crimes and
make the community safer. Existing methods that are focused on identifying abnormal …

Exploring User Semantic Annotation from Trajectories in the Scenario of Shared Locations

J Golze, M Sester, U Feuerhake… - AGILE: GIScience …, 2024 - agile-giss.copernicus.org
Over the past decade (s), collecting spatiotemporal data has become easier due to
technological advancements and more user-friendly collection processes. Additionally …

Classifying pedestrian trajectories by Machine learning using laser sensor data

H Kaneko, T Osaragi - AGILE: GIScience Series, 2022 - agile-giss.copernicus.org
In the field of facility planning, the analysis of pedestrian trajectories using laser sensor-
based behavior monitoring technologies is a proven way to improve our understanding of …

[PDF][PDF] Smart Agricultural Technology

Early detection of economically important plant diseases, such as grey mould caused by
Botrytis cinerea, is of major importance for the timely application of disease management …