Zobrazeno 1 - 10
of 4 101
pro vyhledávání: '"P Rasouli"'
Trajectory prediction models in autonomous driving are vulnerable to perturbations from non-causal agents whose actions should not affect the ego-agent's behavior. Such perturbations can lead to incorrect predictions of other agents' trajectories, po
Externí odkaz:
http://arxiv.org/abs/2410.07191
Autor:
Saukkoriipi, Mikko, Sahlsten, Jaakko, Jaskari, Joel, Orasmaa, Lotta, Kangas, Jari, Rasouli, Nastaran, Raisamo, Roope, Hirvonen, Jussi, Mehtonen, Helena, Järnstedt, Jorma, Mäkitie, Antti, Naser, Mohamed, Fuller, Clifton, Kann, Benjamin, Kaski, Kimmo
The main treatment modality for oropharyngeal cancer (OPC) is radiotherapy, where accurate segmentation of the primary gross tumor volume (GTVp) is essential. However, accurate GTVp segmentation is challenging due to significant interobserver variabi
Externí odkaz:
http://arxiv.org/abs/2409.06605
Publikováno v:
Fractal Fract. 2024, 8, 281
Considering the Friedmann--Lema\^{i}tre--Robertson--Walker (FLRW) metric and the Einstein scalar field system as an underlying gravitational model to construct fractional cosmological models has interesting implications in both classical and quantum
Externí odkaz:
http://arxiv.org/abs/2407.17747
Autor:
Sabouri, Maziar, Ahamed, Shadab, Asadzadeh, Azin, Avval, Atlas Haddadi, Bagheri, Soroush, Arabi, Mohsen, Zakavi, Seyed Rasoul, Askari, Emran, Rasouli, Ali, Aghaee, Atena, Sehati, Mohaddese, Yousefirizi, Fereshteh, Uribe, Carlos, Hajianfar, Ghasem, Zaidi, Habib, Rahmim, Arman
The objective of this study was to develop an automated pipeline that enhances thyroid disease classification using thyroid scintigraphy images, aiming to decrease assessment time and increase diagnostic accuracy. Anterior thyroid scintigraphy images
Externí odkaz:
http://arxiv.org/abs/2407.10336
Autor:
Rasouli, Amir, Kotseruba, Iuliia
In this paper, we delve into the pedestrian behavior understanding problem from the perspective of three different tasks: intention estimation, action prediction, and event risk assessment. We first define the tasks and discuss how these tasks are re
Externí odkaz:
http://arxiv.org/abs/2407.00446
This paper presents optimization models for electric Mobility-as-a-Service systems, whereby electric vehicles not only provide on-demand mobility, but also perform charging and Vehicle-to-Grid (V2G) operations to enhance the fleet operator profitabil
Externí odkaz:
http://arxiv.org/abs/2405.01916
Autor:
Arledge, Kiernan E., Ellis, Chase T., Sarabi, Nazli Rasouli, Whiteside, Vincent R., Kim, Chul Soo, Kim, Mijin, Ratchford, Daniel C., Meeker, Michael A, Weng, Binbin, Tischler, Joseph G.
Phonon polaritons (PhPs) are hybrid photon-phonon waves which enable strong light-matter interactions and subdiffractional confinement, potentially empowering applications in sensing, nonlinear optics and nanoscale energy manipulation. In this work,
Externí odkaz:
http://arxiv.org/abs/2404.13759
As a safety critical task, autonomous driving requires accurate predictions of road users' future trajectories for safe motion planning, particularly under challenging conditions. Yet, many recent deep learning methods suffer from a degraded performa
Externí odkaz:
http://arxiv.org/abs/2404.12538
This paper explores the concept of \'{e}tal\'{e} spaces associated with residuated lattices. Notions of bundles and \'{e}tal\'{e}s of residuated lattices over a given topological space are introduced and investigated. For a topological space $\mathsc
Externí odkaz:
http://arxiv.org/abs/2402.08945
Accurate prediction of pedestrians' future motions is critical for intelligent driving systems. Developing models for this task requires rich datasets containing diverse sets of samples. However, the existing naturalistic trajectory prediction datase
Externí odkaz:
http://arxiv.org/abs/2402.08698