Zobrazeno 1 - 10
of 55 780
pro vyhledávání: '"Behzad, A"'
Autor:
Delfan, Niloufar, Moghadam, Pardis Ketabi, Khoshnevisan, Mohammad, Chagahi, Mehdi Hosseini, Hatami, Behzad, Asgharzadeh, Melika, Zali, Mohammadreza, Moshiri, Behzad, Moghaddam, Amin Momeni, Khalafi, Mohammad Amin, Dehnad, Khosrow
Non-alcoholic fatty liver disease (NAFLD) is one of the most widespread liver disorders on a global scale, posing a significant threat of progressing to more severe conditions like nonalcoholic steatohepatitis (NASH), liver fibrosis, cirrhosis, and h
Externí odkaz:
http://arxiv.org/abs/2412.04884
Autor:
Chagahi, Mehdi Hosseini, Piran, Md. Jalil, Delfan, Niloufar, Moshiri, Behzad, Parikhan, Jaber Hatam
Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, which occurs due to the rupture of blood vessels in or around the brain. If this condition is not diagnosed in a timely manner and appropriately treated, i
Externí odkaz:
http://arxiv.org/abs/2412.14869
We address unsupervised dependency parsing by building an ensemble of diverse existing models through post hoc aggregation of their output dependency parse structures. We observe that these ensembles often suffer from low robustness against weak ense
Externí odkaz:
http://arxiv.org/abs/2412.11543
Autor:
Ousat, Behzad, Shariatnasab, Mahshad, Schafir, Esteban, Chaharsooghi, Farhad Shirani, Kharraz, Amin
Web traffic has evolved to include both human users and automated agents, ranging from benign web crawlers to adversarial scanners such as those capable of credential stuffing, command injection, and account hijacking at the web scale. The estimated
Externí odkaz:
http://arxiv.org/abs/2412.07005
Intracranial EEG (iEEG) recording, characterized by high spatial and temporal resolution and superior signal-to-noise ratio (SNR), enables the development of precise brain-computer interface (BCI) systems for neural decoding. However, the invasive na
Externí odkaz:
http://arxiv.org/abs/2412.06336
Autor:
Mobarakeh, Niloufar Saeidi, Khamidehi, Behzad, Li, Chunlin, Mirkhani, Hamidreza, Arasteh, Fazel, Elmahgiubi, Mohammed, Zhang, Weize, Rezaee, Kasra, Poupart, Pascal
The primary goal of motion planning is to generate safe and efficient trajectories for vehicles. Traditionally, motion planning models are trained using imitation learning to mimic the behavior of human experts. However, these models often lack inter
Externí odkaz:
http://arxiv.org/abs/2412.05717
Vision-language models (VLMs) are capable of recognizing unseen actions. However, existing VLMs lack intrinsic understanding of procedural action concepts. Hence, they overfit to fixed labels and are not invariant to unseen action synonyms. To addres
Externí odkaz:
http://arxiv.org/abs/2411.15628
Autor:
Senevirathna, Shaluka, Zemlyanova, Anna, Kelly, Shaina A., Hu, Qinhong, Zhang, Yong, Ghanbarian, Behzad
Spontaneous imbibition (SI) is a process by which liquid is drawn into partially saturated porous media by capillary forces, relevant for subsurface processes like underground fluid storage and withdrawal. Accurate modeling and scaling of counter-cur
Externí odkaz:
http://arxiv.org/abs/2411.08002
Improving hydrocarbon production with hydraulic fracturing from unconventional reservoirs requires investigating transport phenomena at the single fracture level. In this study, we simulated geomechanical deformation, fluid flow, and reactive transpo
Externí odkaz:
http://arxiv.org/abs/2411.07992
The driver warning system that alerts the human driver about potential risks during driving is a key feature of an advanced driver assistance system. Existing driver warning technologies, mainly the forward collision warning and unsafe lane change wa
Externí odkaz:
http://arxiv.org/abs/2411.06306