Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Saber FA"'
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9528 (2024)
There has been very limited research conducted to predict rental prices in the German real estate market using an AI-based approach. From a general perspective, conventional approaches struggle to handle large amounts of data and fail to consider the
Externí odkaz:
https://doaj.org/article/f642dab4b3004e28885d1ae7e19d96f6
Publikováno v:
Vascular Health and Risk Management, Vol 2015, Iss default, Pp 149-155 (2015)
Charles Saab,1 Feryal A Al-Saber,2 Jihad Haddad,3 Mahir Khalil Jallo,4 Habib Steitieh,5 Giovanni Bader,6 Mohamed Ibrahim,7 1Department of Endocrinology and Metabolism, Sacre Coeur University Hospital, Baabda, Lebanon; 2Endocrine Department, Bahrain D
Autor:
Saber Falahati, Seyed Abbas Taher
Publikováno v:
هوش محاسباتی در مهندسی برق, Vol 13, Iss 2, Pp 39-50 (2022)
The Automatic Voltage Regulator (AVR) system is one of the important systems in power grids. Proportional – Integral (PI) controller is usually used in industries to control the AVR system. However, to increase the flexibility or improving the perf
Externí odkaz:
https://doaj.org/article/cfce692987e24208bfb315ab37465297
Publikováno v:
IEEE Access, Vol 10, Pp 107913-107928 (2022)
Driving energy consumption plays an important role in the navigation of autonomous mobile robots in off-road scenarios. However, the accuracy of the driving energy predictions is often affected by a high degree of uncertainty due to unknown and const
Externí odkaz:
https://doaj.org/article/c457c15bd69f482fb85df7366c55646b
Publikováno v:
IEEE Access, Vol 10, Pp 30055-30068 (2022)
This paper presents an adaptive energy-aware prediction and planning framework for vehicles navigating over terrains with varying and unknown properties. A novel feature of the method is the use of a deep meta-learning framework to learn a prior ener
Externí odkaz:
https://doaj.org/article/04ab89791fea464099ab82b94940117b
Publikováno v:
IEEE Access, Vol 10, Pp 81699-81712 (2022)
Devising planning algorithms for autonomous driving is non-trivial due to the presence of complex and uncertain interaction dynamics between road users. In this paper, we introduce a planning framework encompassing multiple action policies that are l
Externí odkaz:
https://doaj.org/article/62c37cc0f0754d709df58395dc453288
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
The use of manipulators in space missions has become popular, as their applications can be extended to various space missions such as on-orbit servicing, assembly, and debris removal. Due to space reachability limitations, such robots must accomplish
Externí odkaz:
https://doaj.org/article/ef384b02646a44faacad9f455dda59a1
Publikováno v:
Journal of Ecological Engineering, Vol 22, Iss 8, Pp 200-208 (2021)
This experiment was carried out to study the effect of adding compost tea and humic acid on the growth and active ingredient of chive (Allium schoenoprasum L.) plant. Chive plants were received two organic fertilizers: the first one was compost tea (
Externí odkaz:
https://doaj.org/article/a0f5923be8e34efaa178be6bd02a427b
Publikováno v:
Journal of Ecological Engineering, Vol 22, Iss 7, Pp 260-270 (2021)
This study was conducted during the two winter seasons (2018/2019&2019/2020) to investigate the effect of NPK and compost fertilizers on Camelina sativa plant under Egyptian ecology. The fertilizer levels of NPK were 0, 25, 50, 75 and 100%, recommend
Externí odkaz:
https://doaj.org/article/95558ae0a9f64b3bb2bee1fbdc7c79f0
Autor:
Samah Ali El-Newary, Rasha Fouad Ismail, Nermeen Mohammed Shaffie, Saber Fayez Hendawy, Elsayed Omer, Mahgoub Mohammed Ahmed, Wael M. ELsayed
Publikováno v:
Pharmaceutical Biology, Vol 59, Iss 1, Pp 986-997 (2021)
Context The roots of Tagetes lucida Cav. (Asteraceae) have antioxidant and antimicrobial properties. Objective This study aimed to examine the hepatoprotective effects of T. lucida roots ethanol extract (TLRE) using carbon tetrachloride (CCl4)-induce
Externí odkaz:
https://doaj.org/article/6884f35df80f48529457dfee318176cb