Zobrazeno 1 - 10
of 398
pro vyhledávání: '"Ali AlQahtani"'
Publikováno v:
BMC Chemistry, Vol 18, Iss 1, Pp 1-10 (2024)
Abstract Herein, a novel UV spectrophotometric method coupled with chemometric tools was developed for the simultaneous determination of three fluoroquinolone antibiotics: ciprofloxacin, lomefloxacin, and enrofloxacin. Such integration of UV spectros
Externí odkaz:
https://doaj.org/article/b80b5342785543ba84ba7a75a72db83a
Autor:
Abdulaziz A. Alsulami, Qasem Abu Al-Haija, Badraddin Alturki, Ali Alqahtani, Faisal Binzagr, Bandar Alghamdi, Rayan A. Alsemmeari
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Microgrids are small-scale energy system that supplies power to homes, businesses, and industries. Microgrids can be considered as a trending technology in energy fields due to their power to supply reliable and sustainable energy. Microgrid
Externí odkaz:
https://doaj.org/article/0940a4c086e54997ac1cf2ec9b761b91
Publikováno v:
iScience, Vol 27, Iss 12, Pp 111367- (2024)
Summary: Carbapenem-resistant Acinetobacter baumannii (CRAB) is a top-priority pathogen causing a nosocomial infection that increases morbidity and mortality. Treatment options for CRAB are relatively limited by pharmacokinetic restrictions, such as
Externí odkaz:
https://doaj.org/article/a6a86e727dbd46ada6658ff99570041a
Publikováno v:
BMC Chemistry, Vol 18, Iss 1, Pp 1-6 (2024)
Abstract Alfuzosin hydrochloride and tadalafil fixed-dose combination tablets were recently formulated for the treatment of individuals with lower urinary tract symptoms caused by benign prostatic hyperplasia. Herein, the first spectrophotometric met
Externí odkaz:
https://doaj.org/article/2972156caf374cf0add1524c2e19e09e
Autor:
Qurat-ul-Ain Mastoi, Ali Alqahtani, Sultan Almakdi, Adel Sulaiman, Adel Rajab, Asadullah Shaikh, Samar M. Alqhtani
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The abnormal heart conduction, known as arrhythmia, can contribute to cardiac diseases that carry the risk of fatal consequences. Healthcare professionals typically use electrocardiogram (ECG) signals and certain preliminary tests to identif
Externí odkaz:
https://doaj.org/article/5f272f7022374d0b98b66dc99c837350
Autor:
Ali Alqahtani, Qasem Abu Al‐Haija, Abdulaziz A. Alsulami, Badraddin Alturki, Nayef Alqahtani, Raed Alsini
Publikováno v:
IET Image Processing, Vol 18, Iss 5, Pp 1109-1118 (2024)
Abstract Tuberculosis (TB) is an extremely contagious illness caused by Mycobacterium tuberculosis. Chest tuberculosis classification is conducted based on a deep convolutional neural network architecture. In this research, a pre‐trained network is
Externí odkaz:
https://doaj.org/article/62b6d98f892e44779eaadee6f0a13df6
Publikováno v:
IEEE Access, Vol 12, Pp 159280-159295 (2024)
In Natural Language Processing, creating training data for question answering (QA) systems typically requires significant effort and expertise. This challenge is amplified in few-shot scenarios where only a limited number of training samples are avai
Externí odkaz:
https://doaj.org/article/3473289f9780449e885289d1a7c90ea8
Publikováno v:
IEEE Access, Vol 12, Pp 79327-79341 (2024)
Facial Expression Recognition (FER) is a machine learning problem that deals with recognizing human facial expressions. While existing work has achieved performance improvements in recent years, FER in the wild and under challenging conditions remain
Externí odkaz:
https://doaj.org/article/97158384496449a9946f95f7fec3263e
Autor:
Itrat Fatima, Jarallah Alqahtani, Raja Habib, Muhammad Akram, Tabbasum Naz, Ali Alqahtani, Muhammad Atif, Sultan S. Alyami
Publikováno v:
IEEE Access, Vol 12, Pp 23578-23594 (2024)
This work tackles the scheduling challenge of microgrids for smart homes, aiming to optimize energy management with both renewable and non-renewable sources. A power control center orchestrates the microgrid, coordinating distributed energy resources
Externí odkaz:
https://doaj.org/article/2db225da18414ea0ab21c945a69025a8
Publikováno v:
IEEE Access, Vol 12, Pp 18237-18250 (2024)
Vision Transformers, known for their innovative architectural design and modeling capabilities, have gained significant attention in computer vision. This paper presents a dual-path approach that leverages the strengths of the Multi-Axis Vision Trans
Externí odkaz:
https://doaj.org/article/8e2818d62cd948ab8696458acb1890a2