Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Amin Sadri"'
Autor:
Maryam Heidarpour, Parastesh Rezvanian, Mohammad Amin Sadri, Parsa Keshavarzrad, Rezvan Zakeri, Omid Vakilbashi, Davood Shafie, Masood Shekarchizadeh, Sonia Zarfeshani, Najmeh Rabbanipour, Jamshid Najafian, Golnaz Vaseghi, Nizal Sarrafzadegan
Publikováno v:
BioMed Research International. 2023:1-5
Previous studies reported a relationship between thyroid-stimulating hormone (TSH) and low-density lipoprotein cholesterol (LDL-C) levels. In this study, we aim to evaluate the impact of TSH levels on lipid profile in patients with familial hyperchol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::021327c33b790f62609adea077029a6c
https://doi.org/10.1155/2023/4711275
https://doi.org/10.1155/2023/4711275
Autor:
Golnaz, Vaseghi, Parastesh, Rezvanian, Marzieh, Taheri, Mohammad Amin, Sadri, Atefeh, Amerizadeh, Shaghayegh Haghjooy, Javanmard, Masoud, Shekarchizadeh, Ramesh, Hosseinkhani, Ali, Pourmoghadas, Jamshid, Najafian, Nizal, Sarrafzadegan
Publikováno v:
Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir. 50(4)
Low-density lipoprotein cholesterol is the mainstay of diagnosis, treatment, and follow-up of patients with familial hypercholesterolemia, the most prevalent autosomal domi- nant disorder among humans. Since the reference measurement method (ultracen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::774efc63ab6146bb23d38dfc9d14f972
https://pubmed.ncbi.nlm.nih.gov/35695363
https://pubmed.ncbi.nlm.nih.gov/35695363
Autor:
Masoomeh Zameni, Amin Sadri, Kotagiri Ramamohanarao, Christopher Leckie, Zahra Ghafoori, Masud Moshtaghi, Flora D. Salim
Publikováno v:
Knowledge and Information Systems. 62:719-750
A critical problem in time series analysis is change point detection, which identifies the times when the underlying distribution of a time series abruptly changes. However, several shortcomings limit the use of some existing techniques in real-world
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81d0dd2ecf7550de334ba3af54c16b2b
https://doi.org/10.1007/s10115-019-01366-x
https://doi.org/10.1007/s10115-019-01366-x
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2:1-26
Understanding and predicting human mobility is vital to a large number of applications, ranging from recommendations to safety and urban service planning. In some travel applications, the ability to accurately predict the user's future trajectory is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1ca50ce37998e2fefdb402ea1d94d0e
https://doi.org/10.1145/3287064
https://doi.org/10.1145/3287064
Publikováno v:
Information Systems. 69:180-193
The ever increasing size of graphs makes them difficult to query and store. In this paper, we present Shrink, a compression method that reduces the size of the graph while preserving the distances between the nodes. The compression is based on the it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d073cac2aba3e25f5c4e7b40b0785cd
https://doi.org/10.1016/j.is.2017.06.001
https://doi.org/10.1016/j.is.2017.06.001
Publikováno v:
Pervasive and Mobile Computing. 38:92-109
This paper aims to observe and recognize transition times, when human activities change. No generic method has been proposed for extracting transition times at different levels of activity granularity. Existing work in human behavior analysis and act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37512a6e140380309f74b3c28fcba8fd
https://doi.org/10.1016/j.pmcj.2017.01.003
https://doi.org/10.1016/j.pmcj.2017.01.003
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783030185893
DASFAA (3)
DASFAA (3)
An important task in analysing high-dimensional time series data generated from sensors in the Internet of Things (IoT) platform is to detect changes in the statistical properties of the time series. Accurate, efficient and near real-time detection o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ce40e4008d691d5c61cf6f46f83782c
https://doi.org/10.1007/978-3-030-18590-9_78
https://doi.org/10.1007/978-3-030-18590-9_78
Publikováno v:
Proceedings of the Knowledge Capture Conference.
Understanding human mobility is the key problem in many applications such as location-based services and recommendation systems. The mobility of a smartphone user can be modeled by a movement graph, in which the nodes represent locations and the edge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8444dbca5891731e1c176a5b5c13e8ad
https://doi.org/10.1145/3148011.3154469
https://doi.org/10.1145/3148011.3154469
Publikováno v:
UbiComp/ISWC Adjunct
Understanding and predicting human mobility is a key problem in different applications. Existing works on human mobility prediction mainly focus on the prediction of the next location (or a set of locations) that will be visited by the user in a spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc2df081bb18928c1f92b49178ba7a90
https://doi.org/10.1145/3123024.3123140
https://doi.org/10.1145/3123024.3123140
Autor:
Kaveh Ostad-Ali-Askari, Omid Vafaei, Fereshteh Zamani, Seyed-Mohamad-Amir Homayouni, Bahareh Navabpour, Amin Sadri, Zahra Ghasemi-Siani, Mohammad Shayannejad, Saeid Eslamian, Zahra Majidifar, Nasrin Shojaei, Hossein Nourozi
Publikováno v:
Handbook of Drought and Water Scarcity ISBN: 9781315226774
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40f0bd28974f8c7cc256753d12011ddc
https://doi.org/10.1201/9781315226774-18
https://doi.org/10.1201/9781315226774-18