Zobrazeno 1 - 10
of 3 999
pro vyhledávání: '"Hadizadeh A"'
Autor:
Abdihaji M, Mirzaei Chegeni M, Hadizadeh A, Farrokhzad N, Kheradmand Z, Fakhrfatemi P, Faress F, Moeinabadi-Bidgoli K, Noorbazargan H, Mostafavi E
Publikováno v:
International Journal of Nanomedicine, Vol Volume 18, Pp 3459-3488 (2023)
Mohammadreza Abdihaji,1,* Masoumeh Mirzaei Chegeni,2,* Alireza Hadizadeh,3 Negar Farrokhzad,4 Zahra Kheradmand,5 Parastoo Fakhrfatemi,6 Fardad Faress,7 Kasra Moeinabadi-Bidgoli,8 Hassan Noorbazargan,9 Ebrahim Mostafavi10,11 1Department of Bio
Externí odkaz:
https://doaj.org/article/e3afaf3e659a4890915a3b4222569f0e
Gene expression profiles obtained through DNA microarray have proven successful in providing critical information for cancer detection classifiers. However, the limited number of samples in these datasets poses a challenge to employ complex methodolo
Externí odkaz:
http://arxiv.org/abs/2408.09635
Autor:
Hadizadeh, Hadi, Bajić, Ivan V.
Autonomous driving sensors generate an enormous amount of data. In this paper, we explore learned multimodal compression for autonomous driving, specifically targeted at 3D object detection. We focus on camera and LiDAR modalities and explore several
Externí odkaz:
http://arxiv.org/abs/2408.08211
Recent advancements in sequential modeling applied to Electronic Health Records (EHR) have greatly influenced prescription recommender systems. While the recent literature on drug recommendation has shown promising performance, the study of discoveri
Externí odkaz:
http://arxiv.org/abs/2408.10259
This paper presents a novel approach for unsupervised video summarization using reinforcement learning. It aims to address the existing limitations of current unsupervised methods, including unstable training of adversarial generator-discriminator ar
Externí odkaz:
http://arxiv.org/abs/2407.04258
In recent years, there has been a significant increase in applications of multimodal signal processing and analysis, largely driven by the increased availability of multimodal datasets and the rapid progress in multimodal learning systems. Well-known
Externí odkaz:
http://arxiv.org/abs/2405.12456
Autor:
Poro, Atila, Baudart, Sabrina, Nourmohammad, Mahshid, Arani, Zahra Sabaghpour, Farhadi, Fatemeh, Salehian, Selda Ranjbar, Sarostad, Ahmad, Olya, Saeideh Ranjbaryan Iri, Hadizadeh, Maryam, Khodaei, AmirHossein
The first photometric light curve investigation of the NSVS 8294044, V1023 Her, and V1397 Her binary systems is presented. We used ground-based observations for the NSVS 8294044 system and Transiting Exoplanet Survey Satellite (TESS) data for V1023 H
Externí odkaz:
http://arxiv.org/abs/2404.01928
Autor:
Poro, Atila, Jafarzadeh, S. Javad, Harzandjadidi, Roghaye, Madani, Mohammad, Bozorgzadeh, Elnaz, Jahangiri, Esfandiar, Sarostad, Ahmad, Alizadehsabegh, Ailar, Hadizadeh, Maryam, EsmaeiliVakilabadi, Mohammad
The Gaia DR3 parallax approach was used to estimate the absolute parameters of 2375 Delta Scuti stars from the ASAS catalog. The selected stars have a variety of observational characteristics, with a higher than 80% probability of being Delta Scuti s
Externí odkaz:
http://arxiv.org/abs/2401.01091
Publikováno v:
Progress of Theoretical and Experimental Physics, Volume 2024, Issue 1, January 2024, 013D03
This paper explores a novel revision of the Faddeev equation for three-body (3B) bound states, as initially proposed in Ref. \cite{golak2013three}. This innovative approach, referred to as \tmatrixfree in this paper, directly incorporates two-body (2
Externí odkaz:
http://arxiv.org/abs/2312.05132
Publikováno v:
Frontiers in Physics 11 (2023)
This study presents a solution to the Yakubovsky equations for four-body bound states in momentum space, bypassing the common use of two-body $t-$matrices. Typically, such solutions are dependent on the fully-off-shell two-body $t-$matrices, which ar
Externí odkaz:
http://arxiv.org/abs/2311.08713