Results 111 to 120 of about 16,841 (299)

GNTI: Gaussian noise-based trajectory imputation via self-supervised learning

open access: yesJournal of Highway and Transportation Research and Development
Trajectory imputation aims to reconstruct complete movement sequences from noisy or incomplete GPS data, crucial for intelligent transportation systems (ITS).
Siqi Liu   +5 more
doaj   +1 more source

Geometry of interest (GOI): spatio-temporal destination extraction and partitioning in GPS trajectory data [PDF]

open access: yes, 2017
Nowadays large amounts of GPS trajectory data is continuously collected by GPS-enabled devices such as vehicles navigation systems and mobile phones. GPS trajectory data is useful for applications such as traffic management, location forecasting, and ...
Harwood, A   +3 more
core   +1 more source

Coal Mining as a Driver of Land Use and Land Cover Change and Degradation: A Case in Moatize City, Mozambique

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Coal remains a major global energy source despite ongoing environmental controversies, particularly, regarding climate change and landscape transformation. This study investigates the spatiotemporal dynamics of land use and land cover (LULC) in the Moatize Coal Basin (MCB), Mozambique, between 1990 and 2024, with a specific focus on land ...
Ivan Latinho Naite   +2 more
wiley   +1 more source

Trajectory Segmentation Map-Matching Approach for Large-Scale, High-Resolution GPS Data

open access: yes, 2017
With the development of smartphones and portable GPS devices, large-scale, high-resolution GPS data can be collected. Map matching is a critical step in studying vehicle driving activity and recognizing network traffic conditions from the data.
Jeffrey D. Gonder   +2 more
core   +1 more source

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao   +5 more
wiley   +1 more source

Optimal Point-to-Point Trajectory Tracking of Redundant Manipulators using Generalized Pattern Search

open access: yesInternational Journal of Advanced Robotic Systems, 2008
Optimal point-to-point trajectory planning for planar redundant manipulator is considered in this study. The main objective is to minimize the sum of the position error of the end-effector at each intermediate point along the trajectory so that the end ...
Thi Rein Myo, Atef A. Ata
doaj  

Compression of GPS trajectory data : benchmarking framework and new approach

open access: yes, 2013
GPS-equipped mobile devices such as smart phones and in-car navigation units are collecting enormous amounts of spatial and temporal information that traces a moving object\u27s path.
Muckell, Jonathan
core   +1 more source

Age ratio in groups of a social ungulate affects epizoochorous dispersal and diaspore exchanges

open access: yesOikos, EarlyView.
Animal‐mediated seed dispersal is a key process in plant population dynamics, species distribution and ecosystem functioning. As long‐distance dispersal agents, ungulates help to maintain native plant populations facing abiotic changes in their habitat and habitat fragmentation or habitat loss.
Antoine Roux   +6 more
wiley   +1 more source

A Data-Driven Approach for GPS Trajectory Data Cleaning

open access: yes, 2020
In this paper, we study the problem of GPS trajectory data cleaning, aiming to clean the noises in trajectory data. The noises can be generated due to many factors, such as GPS devices failure, sensor error, transmission error and storage error. Existing
Xiaohang Chen (4470766)   +3 more
core  

Digital surveillance of animals and nature recovery

open access: yesPeople and Nature, EarlyView.
Abstract Digital surveillance technologies (DSTs) are widely applied in nature recovery for their potential to generate novel data on species and ecosystems through digital tracking, automation (e.g. from hazardous locations) and from newly recruited citizen scientists.
William M. Adams
wiley   +1 more source

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