Results 121 to 130 of about 13,128 (278)

Scientific Production on GPS Trajectory Clustering: A Bibliometric Analysis

ISPRS International Journal of Geo-Information
Clustering algorithms or methods for GPS trajectories are in constant evolution due to the interest aroused in part of the scientific community. With the development of clustering algorithms considered traditional, improvements to these algorithms and ...
Gary Reyes, Roberto Tolozano-Benites, Laura Lanzarini, César Estrebou, Aurelio F. Bariviera   +4 more
doaj   +1 more source

RoadRunner: improving the precision of road network inference from GPS trajectories

, 2019
© 2018 Association for Computing Machinery. Current approaches to construct road network maps from GPS trajectories suffer from low precision, especially in dense urban areas and in regions with complex topologies such as overpasses and underpasses ...
Chawla, Sanjay, Alizadeh, Mohammad, Madden, Sam, Bastani, Favyen, He, Songtao, Abbar, Sofiane, Balakrishnan, Hari   +6 more
core   +1 more source

Sharing landscapes with wildlife: Conflict and coexistence between high nature value pastoral systems and large carnivores

People and Nature, EarlyView.
Abstract High nature value (HNV) pastoral systems, that is those maintained by herding, transhumance and extensive grazing practices, are recognised as cornerstones of European biodiversity, cultural heritage and ecosystem service provision. Yet these systems are currently under significant pressure from a range of economic, social and environmental ...
Katrina Marsden, Hanna Pettersson, Tasos Hovardas, Ângela Lomba, Tobias Plieninger, Valeria Salvatori, Camilla Sandström, Juliette Young   +7 more
wiley   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Improving the precision of toad network inference from GPS trajectories

, 2018
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.Cataloged from PDF version of thesis.Includes bibliographical references (pages 45-46).Current approaches to construct road network maps ...
He, Songtao (Scientist in electrical engineering and computer science) Massachusetts Institute of Technology
core  

Tightly coupled GPS/IMU data integration for the estimation of vehicle trajectories

, 2022
Over the past years a software package employing the tightly coupled Kalman filter algorithm has been developed at the Department of Geodesy and Geoinformation (TU-Vienna).
Li, Qing, Weber, Robert
core  

Spatial Variability of Permafrost and Active Layer Thickness in a Forested Hillslope of the Taiga Shield

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Under continued climate warming, understanding present‐day permafrost distribution and the controls on ground thaw are critical for predicting permafrost thaw trajectories and associated implications. This study presents a high‐resolution investigation of permafrost extent and active layer thickness (ALT) across a coniferous forested hillslope
Alana Muenchrath, Christopher Spence, Andrew Ireson   +2 more
wiley   +1 more source

Capturing the Multi‐Decadal Evolution of Glacier–Permafrost Interactions in a High‐Alpine Environment (Ritord, Western Swiss Alps)

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT This study investigates the multi‐decadal evolution of a glacier forefield under permafrost conditions in the Combins Massif (western Swiss Alps). A multi‐method approach based on historical and recent datasets is used to analyze its landform components.
Julie Wee, Hanne Hendrickx, Sebastián Vivero   +2 more
wiley   +1 more source

Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods

, 2020
Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal ...
K Deng (13396380), J He (7713734), GL Huang (14455140)   +2 more
core  

Mining hierarchical semantic periodic patterns from GPS-collected spatio-temporal trajectories

, 2019
A large number of spatio-temporal trajectory data is being generated from GPS enabled devices such as cars, smartphones, and sensors. These trajectory datasets representing objects' movements provide new opportunities for enhanced spatio-temporal ...
Lee, Ickjai, Lee, Kyungmi, Zhang, Dongzhi   +2 more
core   +1 more source