Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Ben Othman, Soufiene"'
Autor:
Pritam Chakraborty, Anjan Bandyopadhyay, Preeti Padma Sahu, Aniket Burman, Saurav Mallik, Najah Alsubaie, Mohamed Abbas, Mohammed S. Alqahtani, Ben Othman Soufiene
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-23 (2024)
Abstract Stroke prediction remains a critical area of research in healthcare, aiming to enhance early intervention and patient care strategies. This study investigates the efficacy of machine learning techniques, particularly principal component anal
Externí odkaz:
https://doaj.org/article/ad13fbd4562842c1ad6f140bd7a145c9
Autor:
G. S. Pradeep Ghantasala, Kumar Dilip, Pellakuri Vidyullatha, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Ovarian cancer is a formidable health challenge that demands accurate and timely survival predictions to guide clinical interventions. Existing methods, while commendable, suffer from limitations in harnessing the temporal evolution of patie
Externí odkaz:
https://doaj.org/article/cdcfbf905a704369b59d1970355d963e
Autor:
Pratima Chatterjee, Prasun Ghosal, Sahadeb Shit, Arindam Biswas, Saurav Mallik, Sarah Allabun, Manal Othman, Almubarak Hassan Ali, E. Elshiekh, Ben Othman Soufiene
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-27 (2024)
Abstract Background Several computational and mathematical models of protein synthesis have been explored to accomplish the quantitative analysis of protein synthesis components and polysome structure. The effect of gene sequence (coding and non-codi
Externí odkaz:
https://doaj.org/article/643ebdfc288d416ba71a643387fb0d6a
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
Autor:
Partha Banerjee, Aritra Acharyya, Rajib Das, Arindam Biswas, Anup Kumar Bhattacharjee, Saurav Mallik, Haya Mesfer Alshahrani, E. Elshiekh, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
IEEE Access, Vol 12, Pp 123656-123677 (2024)
The paper investigates the terahertz performance of a mutually injection-locked multi-element high electron mobility avalanche transit time (HEM-ATT) source based on AlGaN/GaN two-dimensional electron gas (2-DEG). Utilizing a nanostrip patch type pla
Externí odkaz:
https://doaj.org/article/82537b495f144642b49a3e0312dbd9d4
Autor:
Kalyan Chatterjee, Muntha Raju, Machakanti Navya Thara, Mandadi Sriya Reddy, M. Priyadharshini, N. Selvamuthukumaran, Saurav Mallik, Haya Mesfer Alshahrani, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
IEEE Access, Vol 12, Pp 78895-78910 (2024)
The Smart City (SC) framework has garnered global recognition for its transformative influence on society through innovative solutions. However, the extensive use of Internet of Things (IoT) devices in SCs raises concerns regarding electronic waste a
Externí odkaz:
https://doaj.org/article/0d2cdf6e7f1c488b86912e90a38ceb1e
Autor:
Anjan Bandyopadhyay, Vagisha Mishra, Sujata Swain, Kalyan Chatterjee, Sweta Dey, Saurav Mallik, Amal Al-Rasheed, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
IEEE Access, Vol 12, Pp 7609-7623 (2024)
For an extended period, a technological architecture known as cloud IoT links IoT devices to servers located in cloud data centers. Real-time data analytic are made possible by this, enabling better, data-driven decision making, optimization, and ris
Externí odkaz:
https://doaj.org/article/f18d9b0d693447dd897ddced50e06608
Autor:
P. Kavitha, G. Ayyappan, Prabhu Jayagopal, Sandeep Kumar Mathivanan, Saurav Mallik, Amal Al-Rasheed, Mohammed S. Alqahtani, Ben Othman Soufiene
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)
Abstract Intense sun exposure is a major risk factor for the development of melanoma, an abnormal proliferation of skin cells. Yet, this more prevalent type of skin cancer can also develop in less-exposed areas, such as those that are shaded. Melanom
Externí odkaz:
https://doaj.org/article/c5e00771b87b44e9bd04f97d0d8ed9bc