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Human motion prediction is essential for the safe and smooth operation of mobile service robots and intelligent vehicles around people. Commonly used neural network-based approaches often require large amounts of complete trajectories to…

Robotics · Computer Science 2023-06-07 Yufei Zhu , Andrey Rudenko , Tomasz P. Kucner , Achim J. Lilienthal , Martin Magnusson

This article explores the dynamics of savanna ecosystems with grazing, browsing, and migration effects. Covering over one-eighth of the Earth's land area and supporting about one-fifth of the global population, the savanna is an ecological…

Populations and Evolution · Quantitative Biology 2026-01-21 Chiun-Chuan Chen , Ting-Yang Hsiao , Shun-Chieh Wang

Surveys of the local and distant Universe are the means to test and improve our models of galaxy formation. Substantial successes in the models are evident, while there is also considerable recent progress in identifying what remains to be…

Astrophysics · Physics 2007-05-23 Gerry Gilmore

Urban regions are complicated functional systems that are closely associated with and reshaped by human activities. The propagation of online geographic information-sharing platforms and mobile devices equipped with Global Positioning…

Computer Vision and Pattern Recognition · Computer Science 2021-03-23 Zhinan Qiao , Xiaohui Yuan

Remote sensing has proven to be a powerful tool for the monitoring of the Earth surface to improve our perception of our surroundings has led to unprecedented developments in sensor and information technologies. However, technologies for…

Computer Vision and Pattern Recognition · Computer Science 2013-07-10 Firouz A. Al-Wassai , N. V. Kalyankar

The archives of meteorological satellites permit to find around the world dry sites well adapted to astronomical observations (in the visible, IR, and millimetric ranges), as a pre-selection of sites. The GSM (Grating Scale Monitor)…

Astrophysics · Physics 2007-05-23 F. R. Querci , M. Querci

With the rise of GPS-enabled smartphones and other similar mobile devices, massive amounts of location data are available. However, no scalable solutions for soft real-time spatial queries on large sets of moving objects have yet emerged.…

Databases · Computer Science 2012-11-20 Joaquín Keller , Raluca Diaconu , Mathieu Valero

The speed of response by search and rescue teams at sea is of vital importance, as survival may depend on it. Recent technological advancements have led to the development of more efficient systems for locating individuals involved in a…

Computer Vision and Pattern Recognition · Computer Science 2025-02-17 Juan P. Martinez-Esteso , Francisco J. Castellanos , Jorge Calvo-Zaragoza , Antonio Javier Gallego

Barchans are isolated mobile dunes often organized in large dune fields. Dune fields seem to present a characteristic dune size and spacing, which suggests a cooperative behavior based on dune interaction. In Duran et al. (2009), we propose…

Soft Condensed Matter · Physics 2011-05-20 Orencio Durán , Veit Schwämmle , Pedro G. Lind , Hans J. Herrmann

In the globalized economic world, it has become important to understand the purpose behind infrastructural and construction initiatives occurring within developing regions of the earth. This is critical when the financing for such projects…

Computer Vision and Pattern Recognition · Computer Science 2020-09-02 Kyle McCullough , Andrew Feng , Meida Chen , Ryan McAlinden

We review the main processes that drive the morphodynamics of dunes, i.e. their growth in height, migration and elongation, and emphasise the contribution of experiments to the understanding of these mechanisms. The main control parameters…

Fluid Dynamics · Physics 2025-07-08 P. Claudin , S. Courrech du Pont , C. Narteau

Earthquakes and tropical cyclones cause the suffering of millions of people around the world every year. The resulting landslides exacerbate the effects of these disasters. Landslide detection is, therefore, a critical task for the…

Computer Vision and Pattern Recognition · Computer Science 2019-10-17 Masanari Kimura

The steady growth of digitized historical information is continuously stimulating new different approaches to the fields of Digital Humanities and Computational Social Science. In this work, we use Natural Language Processing techniques to…

Social and Information Networks · Computer Science 2019-12-17 Lorenzo Lucchini , Sara Tonelli , Bruno Lepri

Monitoring urban structure and development requires high-quality data at high spatiotemporal resolution. While traditional censuses have provided foundational insights into demographic and socioeconomic aspects of urban life, their pace may…

Physics and Society · Physics 2024-03-20 Gezhi Xiu , Jianying Wang , Thilo Gross , Mei-Po Kwan , Xia Peng , Yu Liu

The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more. The proliferation of digital mobility data, such as phone records, GPS…

Machine Learning · Computer Science 2022-05-02 Massimiliano Luca , Gianni Barlacchi , Bruno Lepri , Luca Pappalardo

Understanding the spatiotemporal distribution of people within a city is crucial to many planning applications. Obtaining data to create required knowledge, currently involves costly survey methods. At the same time ubiquitous mobile…

Machine Learning · Statistics 2012-07-06 Jameson L. Toole , Michael Ulm , Dietmar Bauer , Marta C. Gonzalez

Understanding human mobility patterns -- how people move in their everyday lives -- is an interdisciplinary research field. It is a question with roots back to the 19th century that has been dramatically revitalized with the recent increase…

Physics and Society · Physics 2017-02-08 Minjin Lee , Petter Holme

Advancements in technology and reduction in it's cost have led to a substantial growth in the quality & quantity of imagery captured by Earth Observation (EO) satellites. This has presented a challenge to the efficacy of the traditional…

Machine Learning · Computer Science 2025-01-22 Aidan Duggan , Bruno Andrade , Haithem Afli

Landslides are one of the most critical and destructive geohazards. Widespread development of human activities and settlements combined with the effects of climate change on weather are resulting in a high increase in the frequency and…

Computer Vision and Pattern Recognition · Computer Science 2024-05-31 Tommaso Monopoli , Fabio Montello , Claudio Rossi

Sand patches are one of the precursors to early-stage protodunes and occur widely in both desert and coastal aeolian environments. Here we show field evidence of a mechanism to explain the initiation of sand patches on non-erodible…