Zobrazeno 1 - 10
of 359
pro vyhledávání: '"Abbes, Amira"'
Publikováno v:
Data in Brief, Vol 56, Iss , Pp 110769- (2024)
This data article presents a detailed dataset collected as part of the University of Sharjah's (UoS) strategic initiative towards transforming into a smart campus by 2030. Collected from January 1st, 2024, to June 20nd, 2024, from key facilities incl
Externí odkaz:
https://doaj.org/article/1d86fff624164438be3abacfcb3b9e16
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 1, Pp 26-39 (2024)
Abstract Magnetic resonance (MR) imaging is a widely employed medical imaging technique that produces detailed anatomical images of the human body. The segmentation of MR images plays a crucial role in medical image analysis, as it enables accurate d
Externí odkaz:
https://doaj.org/article/9e3fbbe7f8ef4141acb8b260caf0fbbe
Autor:
Oussama Kerdjidj, Yassine Himeur, Shahab Saquib Sohail, Abbes Amira, Fodil Fadli, Shadi Atalla, W. Mansoor, Abigail Copiaco, Amjad Gawanmeh, Sami Miniaoui, Diana W. Dawoud
Publikováno v:
IEEE Access, Vol 12, Pp 73980-74010 (2024)
Indoor localization (IL) is a significant topic of study with several practical applications, particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has evolved greatly in recent years due to the introduction of
Externí odkaz:
https://doaj.org/article/6fe65077f2c64210b7d974004fef56e0
Autor:
Besbes, Amira1,2 besbesemira@yahoo.fr, Abbes, Amira1, Chattu, Vijay Kumar3,4,5, Sioud, Sameh1
Publikováno v:
Cerrahpaşa Medical Journal. Apr2024, Vol. 48 Issue 1, p93-97. 5p.
Publikováno v:
Egyptian Journal of Neurosurgery, Vol 38, Iss 1, Pp 1-14 (2023)
Abstract The computer aided diagnosis (CAD) algorithms are considered crucial during the treatment planning of cerebral aneurysms (CA), where segmentation is the first and foremost step. This paper presents a segmentation algorithm in two-dimensional
Externí odkaz:
https://doaj.org/article/ab316acc0b4b4068ae9384d6f2afea29
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109933- (2024)
User behavior plays a substantial role in shaping household energy use. Nevertheless, the methodologies employed by researchers to examine user behavior exhibit certain limitations in terms of their reach. The present article introduces an openly acc
Externí odkaz:
https://doaj.org/article/06fc0bc02a604ba88cee4f9a8891e715
Publikováno v:
Environmental Challenges, Vol 13, Iss , Pp 100741- (2023)
Recommender systems continually impact multiple verticals by introducing automated intelligence to decision making. When applying such Artificial Intelligence (AI) tools to energy efficiency problems, a number of opportunities and challenges present
Externí odkaz:
https://doaj.org/article/0a4a8f2d54fd47b6902a6c451067e73d
Publikováno v:
Data in Brief, Vol 47, Iss , Pp 108985- (2023)
This data article describes a dataset collected in 2022 in a domestic household in the UK. The data provides appliance-level power consumption data and ambient environmental conditions as a timeseries and as a collection of 2D images created using Gr
Externí odkaz:
https://doaj.org/article/8c2ea2481fb34fb9b5bf3eddd902b59c
Publikováno v:
BioData Mining, Vol 14, Iss 1, Pp 1-17 (2021)
Abstract Background The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorithms over the recent y
Externí odkaz:
https://doaj.org/article/ce3dd4d807684c8c90d1a773f147d717
Publikováno v:
IEEE Access, Vol 8, Pp 37482-37494 (2020)
The predominant application of positron emission tomography (PET) in the field of oncology and radiotherapy and the significance of medical imaging research have led to an urgent need for effective approaches to PET volume analysis and the developmen
Externí odkaz:
https://doaj.org/article/2879f8def50d4b09a6f57dc21a3d94ad