Zobrazeno 1 - 10
of 2 919
pro vyhledávání: '"P, Shahabi"'
Human mobility modeling from GPS-trajectories and synthetic trajectory generation are crucial for various applications, such as urban planning, disaster management and epidemiology. Both of these tasks often require filling gaps in a partially specif
Externí odkaz:
http://arxiv.org/abs/2411.04381
The abundance of vehicle trajectory data offers a new opportunity to compute driving routes between origins and destinations. Current graph-based routing pipelines, while effective, involve substantial costs in constructing, maintaining, and updating
Externí odkaz:
http://arxiv.org/abs/2411.01325
Autor:
Shahabi-Shahmiri, Reza, Tavakkoli-Moghaddam, Reza, Hanzalek, Zdenek, Ghasemi, Mohammad, Mirnezami, Seyed-Ali, Rohaninejad, Mohammad
Identifying appropriate manufacturing systems for products can be considered a pivotal manufacturing task that contributes to the optimization of operational and planning activities. It has gained importance in the food industry due to the distinct c
Externí odkaz:
http://arxiv.org/abs/2410.21844
Autor:
Montero, Mariano Ramírez, Shahabi, Ebrahim, Franzese, Giovanni, Kober, Jens, Mazzolai, Barbara, Della Santina, Cosimo
Soft robots have the potential to revolutionize the use of robotic systems with their capability of establishing safe, robust, and adaptable interactions with their environment, but their precise control remains challenging. In contrast, traditional
Externí odkaz:
http://arxiv.org/abs/2410.07787
This paper investigates the integration of Open Radio Access Network (O-RAN) within non-terrestrial networks (NTN), and optimizing the dynamic functional split between Centralized Units (CU) and Distributed Units (DU) for enhanced energy efficiency i
Externí odkaz:
http://arxiv.org/abs/2409.00466
Poly2Vec: Polymorphic Encoding of Geospatial Objects for Spatial Reasoning with Deep Neural Networks
Encoding geospatial data is crucial for enabling machine learning (ML) models to perform tasks that require spatial reasoning, such as identifying the topological relationships between two different geospatial objects. However, existing encoding meth
Externí odkaz:
http://arxiv.org/abs/2408.14806
Simulating human mobility data is essential for various application domains, including transportation, urban planning, and epidemic control, since real data are often inaccessible to researchers due to expensive costs and privacy issues. Several exis
Externí odkaz:
http://arxiv.org/abs/2408.13918
Smart grids are a valuable data source to study consumer behavior and guide energy policy decisions. In particular, time-series of power consumption over geographical areas are essential in deciding the optimal placement of expensive resources (e.g.,
Externí odkaz:
http://arxiv.org/abs/2408.16017
Autor:
Shahabi, Ali, Ghiassi, Reza
Semi-implicit methods are powerful and efficient tools for the three-dimensional modeling of coastal and oceanic processes. A semi-implicit finite difference method for 3D hydrostatic primitive equations is presented in this paper. The governing equa
Externí odkaz:
http://arxiv.org/abs/2408.00990
Publikováno v:
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'24). Singapore: Springer Nature Singapore, 2024
Diagnosing epilepsy requires accurate seizure detection and classification, but traditional manual EEG signal analysis is resource-intensive. Meanwhile, automated algorithms often overlook EEG's geometric and semantic properties critical for interpre
Externí odkaz:
http://arxiv.org/abs/2405.09568