Results 101 to 110 of about 13,392 (258)
A Contrastive Study on Travel Costs of Car-Sharing and Taxis Based on GPS Trajectory Data. [PDF]
Hu B, Sun Y, Sun H, Dong X.
europepmc +1 more source
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 +2 more
wiley +1 more source
Bayesian hierarchical spatial count modeling of taxi speeding events based on GPS trajectory data. [PDF]
Liu H +5 more
europepmc +1 more source
Internal Structure, Kinematics, and Prehistory of Frozen Debris Lobe‐A (FDL‐A), Brooks Range, Alaska
ABSTRACT Frozen Debris Lobe‐A (FDL‐A)—one of hundreds of FDLs in the Brooks Range of northern Alaska—is a slow‐moving landslide in permafrost that has been the subject of research since 2008 due to its close proximity to the Dalton Highway. Here, we synthesize more than a decade's worth of climate and surface measurements of monitored FDLs, and the ...
Margaret M. Darrow +2 more
wiley +1 more source
We developed an invasion risk index framework that integrates socioeconomic and environmental data using an entropy‐weighting method. The case study highlights the need for region‐specific biosecurity measures for Chilo suppressalis. Abstract BACKGROUND Biological invasion risk is a multifaceted concept that, according to the Food and Agriculture ...
Jinsol Hong +11 more
wiley +1 more source
GPS-MTM: Capturing Pattern of Normalcy in GPS-Trajectories with self-supervised learning
Foundation models have driven remarkable progress in text, vision, and video understanding, and are now poised to unlock similar breakthroughs in trajectory modeling. We introduce the GPSMasked Trajectory Transformer (GPS-MTM), a foundation model for large-scale mobility data that captures patterns of normalcy in human movement. Unlike prior approaches
Umang Garg +4 more
openaire +2 more sources
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini +3 more
wiley +1 more source
A Novel Map Matching Method Based on Improved Hidden Markov and Conditional Random Fields Model
Aiming at the inherent “labeling bias” problem of Hidden Markov Models (HMMs) in the process of low-frequency sampling rate GPS trajectory map matching, this paper proposes a map matching method that combines HMMs and Conditional Random Field Models ...
Wei Li +4 more
doaj +1 more source
ABSTRACT Marine operations traditionally rely on human intervention, a costly and disruptive method. Autonomous surface vehicles (ASVs) offer a powerful alternative, capable of operating autonomously, for extended periods, and with various sensors for various missions.
Ayman El Qemmah +4 more
wiley +1 more source

