Zobrazeno 1 - 10
of 2 077
pro vyhledávání: '"A, Noormohammadi"'
In our previous work, we introduced a method that combines two unsupervised algorithms: DBSCAN and GMM. We applied this method to 12 open clusters based on Gaia EDR3 data, demonstrating its effectiveness in identifying reliable cluster members within
Externí odkaz:
http://arxiv.org/abs/2406.08450
Adaptive task planning is fundamental to ensuring effective and seamless human-robot collaboration. This paper introduces a robot task planning framework that takes into account both human leading/following preferences and performance, specifically f
Externí odkaz:
http://arxiv.org/abs/2401.01483
Publikováno v:
Robotics and Autonomous Systems, Volume 183, January 2025, 104821
Achieving effective and seamless human-robot collaboration requires two key outcomes: enhanced team performance and fostering a positive human perception of both the robot and the collaboration. This paper investigates the capability of the proposed
Externí odkaz:
http://arxiv.org/abs/2401.01466
Autor:
Mansoureh Togha, Morvarid Noormohammadi, Zeinab Ghorbani, Fariba Karimzadeh, S. Zahra Bathaie
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Migraine, a complex disorder, is characterized by recurrent headache episodes. The production of melatonin in the pineal gland, which is crucial for controlling circadian rhythms and sleep–wake cycles, is altered in various conditions, inc
Externí odkaz:
https://doaj.org/article/c8aa9b27eb2a44a19fc8e73730c09745
With the introduction of collaborative robots, humans and robots can now work together in close proximity and share the same workspace. However, this collaboration presents various challenges that need to be addressed to ensure seamless cooperation b
Externí odkaz:
http://arxiv.org/abs/2307.11192
A combination of two unsupervised machine learning algorithms, DBSCAN and GMM are used to find members with a high probability of twelve open clusters, M38, NGC2099, Coma Ber, NGC752, M67, NGC2243, Alessi01, Bochum04, M34, M35, M41, and M48, based on
Externí odkaz:
http://arxiv.org/abs/2305.17728
Autor:
Aynaz Khademian, Morvarid Noormohammadi, Mozhgan Hafizi Moori, Maede Makhtoomi, Sedighe Esmaeilzadeh, Mehran Nouri, Ghazaleh Eslamian
Publikováno v:
Journal of Health, Population and Nutrition, Vol 43, Iss 1, Pp 1-8 (2024)
Abstract Introduction By studying the dietary habits of patients with bacterial vaginosis (BV) and the controls, we aim to find out whether the dietary intakes of phytochemicals could reduce the odds of BV. To the best of our knowledge, no study has
Externí odkaz:
https://doaj.org/article/9efd272ed5f94ca2926d35de0296ec56
Autor:
Mona Montazer, Fateme Haghshenosabet, Ghazaleh Eslamian, Morvarid Noormohammadi, Seyyedeh Neda Kazemi, Bahram Rashidkhani
Publikováno v:
Clinical Nutrition Open Science, Vol 56, Iss , Pp 202-211 (2024)
Summary: Background: Hyperemesis gravidarum (HG) is the most widespread reason for admission to the hospital during the first half of pregnancy. HG etiology is not clear in many cases. However, maternal body composition and pre-pregnancy diet are sug
Externí odkaz:
https://doaj.org/article/e2fd045a0f2940b38f49b66f6f5b1290
Autor:
Soheil Tavakolpour, Zahra Noormohammadi, Maryam Daneshpazhooh, Alireza Gholami, Hamidreza Mahmoudi
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionPemphigus vulgaris (PV) is an autoimmune disease characterized by IgG autoantibodies targeting desmoglein-3 (Dsg3), leading to blistering of mucous membranes and skin. Although commercial ELISA kits effectively diagnose PV, correlation wi
Externí odkaz:
https://doaj.org/article/70637bba5e384d52bcf19363a54680bd
Autor:
Togha, Mansoureh1 (AUTHOR) togha1961@gmail.com, Noormohammadi, Morvarid2 (AUTHOR), Ghorbani, Zeinab3,4,5 (AUTHOR), Karimzadeh, Fariba6 (AUTHOR), Bathaie, S. Zahra7,8 (AUTHOR)
Publikováno v:
Scientific Reports. 10/2/2024, Vol. 14 Issue 1, p1-7. 7p.