Zobrazeno 1 - 10
of 1 062
pro vyhledávání: '"Zayer A"'
Autor:
Sudevan, Vidya, Zayer, Fakhreddine, Hassan, Taimur, Javed, Sajid, Karki, Hamad, De Masi, Giulia, Dias, Jorge
This paper delves into the potential of DU-VIO, a dehazing-aided hybrid multi-rate multi-modal Visual-Inertial Odometry (VIO) estimation framework, designed to thrive in the challenging realm of extreme underwater environments. The cutting-edge DU-VI
Externí odkaz:
http://arxiv.org/abs/2411.13988
This paper introduces the concept of employing neuromorphic methodologies for task-oriented underwater robotics applications. In contrast to the increasing computational demands of conventional deep learning algorithms, neuromorphic technology, lever
Externí odkaz:
http://arxiv.org/abs/2411.13962
This paper presents an innovative approach utilizing in-memory computing (IMC) for the development and integration of AES (Advanced Encryption Standard) cipher technique. Our research aims to enhance cybersecurity measures for a wide range of applica
Externí odkaz:
http://arxiv.org/abs/2408.11570
This paper introduces a perspective approach for simulating a memristive sensor tailored for low power biological analyte detection. The necessity for such innovation stems from the increasing demand for efficient biosensing technologies that can ope
Externí odkaz:
http://arxiv.org/abs/2408.05356
Olfaction sensing in autonomous robotics faces challenges in dynamic operations, energy efficiency, and edge processing. It necessitates a machine learning algorithm capable of managing real-world odor interference, ensuring resource efficiency for m
Externí odkaz:
http://arxiv.org/abs/2407.04714
This paper presents a novel methodology for modeling memristive biosensing within COMSOL Multiphysics, focusing on critical performance metrics such as antigen-antibody binding concentration and output resistive states. By studying the impact of incr
Externí odkaz:
http://arxiv.org/abs/2406.01854
Autor:
Putra, Rachmad Vidya Wicaksana, Marchisio, Alberto, Zayer, Fakhreddine, Dias, Jorge, Shafique, Muhammad
Robotic technologies have been an indispensable part for improving human productivity since they have been helping humans in completing diverse, complex, and intensive tasks in a fast yet accurate and efficient way. Therefore, robotic technologies ha
Externí odkaz:
http://arxiv.org/abs/2404.03325
Publikováno v:
Journal of Applied Sciences and Nanotechnology, Vol 4, Iss 3, Pp 18-32 (2024)
In scientific research, the search for cost-efficient and scalable functional materials for substantial and practical applications is necessary. Therefore, metallic materials at the nanoscale represent a rapidly growing area of research, especially a
Externí odkaz:
https://doaj.org/article/c1201ac6780345f1ba880dd848a98248
Autor:
Diana Malaeb, Sara Mansour, Muna Barakat, Sarah Cherri, Zelal J. Kharaba, Feras Jirjees, Reem Al Zayer, Eyman M. Eltayib, Zeinab Khidhair, Hala AlObaidi, Sami El Khatib, Ruth Alex, Vineetha Menon, Basile Hosseini, Jinane Noureldine, Yassen Alfoteih, Souheil Hallit, Hassan Hosseini
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
IntroductionWhile several studies have examined stroke public knowledge and awareness in individual countries within the Middle East and North Africa (MENA) region, none have provided a comprehensive cross-country assessment.PurposeTo assess public s
Externí odkaz:
https://doaj.org/article/bb79483d435e43bba32876e37fa11e0f
Publikováno v:
مجله پزشکی دانشگاه علوم پزشکی تبریز, Vol 46, Iss 1, Pp 38-47 (2024)
Background. Menopause is associated with an increase in blood sugar and an increase in inflammatory cytokines. Exercise and genistein have biological activities, including anti-inflammatory and antidiabetic activity. This study examined the combined
Externí odkaz:
https://doaj.org/article/dddb4b7be7fe48ebab440f818f85d6c6