Zobrazeno 1 - 10
of 2 151
pro vyhledávání: '"Al-Rasheed AS"'
Autor:
Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-30 (2024)
Abstract Having access to potable water is a fundamental right to well-being. Despite this, 3.4 million people die from diseases caused by water each year, and 1.1 billion people lack access to potable drinking water. Although industrialization, dura
Externí odkaz:
https://doaj.org/article/d2fa78ad5d4b48278d81f51b75d6231f
Autor:
J. Logeshwaran, Durgesh Srivastava, K. Sree Kumar, M. Jenolin Rex, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-40 (2024)
Abstract Background The study focuses on enhancing the effectiveness of precision agriculture through the application of deep learning technologies. Precision agriculture, which aims to optimize farming practices by monitoring and adjusting various f
Externí odkaz:
https://doaj.org/article/f8d604b247c54f08b5bc3e2fa7ff9a36
Autor:
Al-rasheed AS
Publikováno v:
Psychology Research and Behavior Management, Vol 2015, Iss default, Pp 273-285 (2015)
Abdulrahman Saud Al-rasheed Department of Psychology, King Saud University, Riyadh, Kingdom of Saudi Arabia Abstract: Despite a plethora of behavioral research exploring the phenomenon of color categorical perception (CP) known as "better discriminat
Externí odkaz:
https://doaj.org/article/42aedef1e3914306880ca04ba3cc525c
Autor:
Omar H. Metwally, Alaa Rahhal, Raghad A. Elsherif, Ahmed M. Elshoeibi, Mohamed Elhadary, Amgad M. Elshoeibi, Ahmed Badr, Basel Elsayed, Mona Al- Rasheed, Awni Alshurafa, Mohamed A. Yassin
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 54, Iss , Pp 101493- (2024)
This review aimed to assess bleeding risks and explore management options in atrial fibrillation (AF) patients with immune thrombocytopenia (ITP), aiming to formulate an optimal therapeutic approach for improved patient prognosis. Employing MeSH term
Externí odkaz:
https://doaj.org/article/e5f4d10b1708404e8099ffce8a81f3e5
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Internet of Things (IoT) has become an interesting research domain as numerous devices, preferably equipped with sensors, communication, and actuator modules, are deployed to capture real-time data in the different application areas, such as smart he
Externí odkaz:
https://doaj.org/article/c7d4d9c1a82f474db8690fc235537094
Autor:
Al-Rasheed, Hessa H., Al-Khamis, Sarah A., Barakat, Assem, Masoud, Aliaa A., Sobhy, Ahmed A., Ghareeb, Doaa A., de la Torre, Beatriz G., Albericio, Fernando, El-Faham, Ayman
Publikováno v:
In Tetrahedron 1 February 2025 171
Autor:
Garima Shukla, Sofia Singh, Chetan Dhule, Rahul Agrawal, Shipra Saraswat, Amal Al-Rasheed, Mohammed S. Alqahtani, Ben Othman Soufiene
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Nanoparticulate systems have the prospect of accounting for a new making of drug delivery systems. Nanotechnology is manifested to traverse the hurdle of both physical and biological sciences by implementing nanostructures indistinct fields
Externí odkaz:
https://doaj.org/article/c084d97967274a8c973406451f361e3b
Autor:
Kalyan Chatterjee, Samla Suraj Kumar, Ramagiri Praveen Kumar, Anjan Bandyopadhyay, Sujata Swain, Saurav Mallik, Amal Al-Rasheed, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
IEEE Access, Vol 12, Pp 123678-123693 (2024)
Air pollution is a critical global concern, demanding precise air quality forecasting to mitigate its severe consequences. Our study introduces Future Air Quality Prediction using Long Short-Term Memory based on Hyper Heuristic Multi-Chain Model (H2M
Externí odkaz:
https://doaj.org/article/1b39cdd202a840ffaad4f826ec4fc3b1
Autor:
P. Anuradha, Pratham Majumder, Kanithan Sivaraman, N. Arun Vignesh, S. Arun Jayakar, Anthoniraj Selvaraj, Saurav Mallik, Amal Al-Rasheed, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
IEEE Access, Vol 12, Pp 123514-123528 (2024)
In the paradigm of Device-to-Device (D2D) and System-on-Chip (SoC) communications, the optimization of high-speed data transfer while minimizing hardware resource utilization imposing paramount importance. Traditional methodologies have often resulte
Externí odkaz:
https://doaj.org/article/6a67f828fde443f1b70bc892bd973ccc
Publikováno v:
IEEE Access, Vol 12, Pp 114951-114960 (2024)
In many real classification problems where a limited number of training samples is available, the linear classifiers based on discriminant analysis are unable to deliver accurate results. Moreover, the testing and/or the training data can be erroneou
Externí odkaz:
https://doaj.org/article/c6fe8a81bdd442c384dc18fea9ec60cd