Zobrazeno 1 - 10
of 10 522
pro vyhledávání: '"A. Nabavi"'
Publikováno v:
Tulīd va Farāvarī-i Maḥṣūlāt-i Zirā̒ī va Bāghī, Vol 13, Iss 3, Pp 93-107 (2023)
Seed yield in soybean is a complex trait and is influenced by multiple genetic and environmental factors. Safflower is one of the oilseeds adapted to a wide range of soil conditions, but micronutrients deficiencies cause a decrease in its grain yield
Externí odkaz:
https://doaj.org/article/871b57d77d8948d0826af51fd10fb408
Autor:
Nabavi, Shahabedin, Hamedani, Kian Anvari, Moghaddam, Mohsen Ebrahimi, Abin, Ahmad Ali, Frangi, Alejandro F.
This study proposes an attention-based statistical distance-guided unsupervised domain adaptation model for multi-class cardiovascular magnetic resonance (CMR) image quality assessment. The proposed model consists of a feature extractor, a label pred
Externí odkaz:
http://arxiv.org/abs/2409.00375
Ethylene is a crucial chemical in manufacturing numerous consumer products. In recent years, the oxidative dehydrogenation of ethane (ODHE) technique has garnered significant interest as a means for ethylene production due to its high ethylene select
Externí odkaz:
http://arxiv.org/abs/2407.10774
Optimization has found numerous applications in engineering, particularly since 1960s. Many optimization applications in engineering have more than one objective (or performance criterion). Such applications require multi-objective (or multi-criteria
Externí odkaz:
http://arxiv.org/abs/2407.09931
This chapter assesses the sensitivity of multi-criteria decision-making (MCDM) methods to modifications within the decision or objective matrix (DOM) in the context of chemical engineering optimization applications. Employing eight common or recent M
Externí odkaz:
http://arxiv.org/abs/2403.11569
Autor:
Nabavi, Shahabedin, Hamedani, Kian Anvari, Moghaddam, Mohsen Ebrahimi, Abin, Ahmad Ali, Frangi, Alejandro F.
Background: Image classification can be considered one of the key pillars of medical image analysis. Deep learning (DL) faces challenges that prevent its practical applications despite the remarkable improvement in medical image classification. The d
Externí odkaz:
http://arxiv.org/abs/2403.11226
Breast cancer continues to be a significant cause of mortality among women globally. Timely identification and precise diagnosis of breast abnormalities are critical for enhancing patient prognosis. In this study, we focus on improving the early dete
Externí odkaz:
http://arxiv.org/abs/2312.16772
The Health Index (HI) is crucial for evaluating system health, aiding tasks like anomaly detection and predicting remaining useful life for systems demanding high safety and reliability. Tight monitoring is crucial for achieving high precision at a l
Externí odkaz:
http://arxiv.org/abs/2312.02867
Publikováno v:
Journal of Applied and Computational Mechanics, Vol 10, Iss 4, Pp 770-781 (2024)
In the present study, the Multi-Relaxation Time Lattice Boltzmann method (MRT-LBM) was employed to solve the airflow inside a scaled room model with dimensions of 0.914×0.457×0.305 m. This room model is considered a representative space with a 1:10
Externí odkaz:
https://doaj.org/article/f7f0315edb1045df8cc949d8ea40a1a0
Autor:
Seyed Rohollah Abbasi, Elnaz Shariatpanahi, Seyed Rouhollah Nabavi, Shirin Moradkhani, Abbas Moradi, Seyede Faranak Emami
Publikováno v:
پزشکی بالینی ابن سینا, Vol 31, Iss 2, Pp 70-75 (2024)
Background and Objective: Sudden sensorineural hearing loss (SSNHL) is a complication that is usually unilateral and can be accompanied by tinnitus and vertigo. Although various infectious, vascular, and immune etiologies have been proposed for SSNHL
Externí odkaz:
https://doaj.org/article/b4529c99aa3f4a8dae5e78a5a82296f2