Zobrazeno 1 - 10
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pro vyhledávání: '"Hamad AS"'
Publikováno v:
International Journal of General Medicine, Vol Volume 17, Pp 457-469 (2024)
Majdi Hashem,1 Saad Surur,2 Abdullah Soliman Hamad2 1Department of Surgery, Faculty of Medicine, imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia; 2Department of Orthopedic, king Saud Medical City, Riyadh, Saudi ArabiaCorrespondence
Externí odkaz:
https://doaj.org/article/353db133b80f418e8f2b6bb467ade06f
Autor:
Samina Khurshid, Hamad Ashraf, Tanveer Hussain, Muhammad Iqbal, Huma Qureshi, Tauseef Anwar, Saleh H. Salmen, Mohammad Javed Ansari
Publikováno v:
Life, Vol 14, Iss 6, p 756 (2024)
The production of citric acid, a vital agricultural commodity utilized across various industries such as food, beverages, pharmaceuticals, agriculture, detergents, and cosmetics, predominantly relies on microbial fermentation, with Aspergillus niger
Externí odkaz:
https://doaj.org/article/d4ad2e57de02449f9d045b5bf2449069
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
Autor:
De Vincenzi, Marco, Pesé, Mert D., Bodei, Chiara, Matteucci, Ilaria, Brooks, Richard R., Hasan, Monowar, Saracino, Andrea, Hamad, Mohammad, Steinhorst, Sebastian
The growing reliance on software in vehicles has given rise to the concept of Software-Defined Vehicles (SDVs), fundamentally reshaping the vehicles and the automotive industry. This survey explores the cybersecurity and privacy challenges posed by S
Externí odkaz:
http://arxiv.org/abs/2411.10612
Autor:
Angdembe, Alisha, Iqbal, Wasim A, Hamad, Rebeen Ali, Casement, John, Consortium, AI-Multiply, Missier, Paolo, Reynolds, Nick, Henkin, Rafael, Barnes, Michael R
Understanding the temporal properties of longitudinal data is critical for identifying trends, predicting future events, and making informed decisions in any field where temporal data is analysed, including health and epidemiology, finance, geoscienc
Externí odkaz:
http://arxiv.org/abs/2411.03210
We consider the adaptive-rank integration of general time-dependent advection-diffusion partial differential equations (PDEs) with spatially variable coefficients. We employ a standard finite-difference method for spatial discretization coupled with
Externí odkaz:
http://arxiv.org/abs/2410.19662
The remarkable reasoning and code generation capabilities of large language models (LLMs) have spurred significant interest in applying LLMs to enable task automation in digital chip design. In particular, recent work has investigated early ideas of
Externí odkaz:
http://arxiv.org/abs/2410.23299
The early detection and nuanced subtype classification of non-small cell lung cancer (NSCLC), a predominant cause of cancer mortality worldwide, is a critical and complex issue. In this paper, we introduce an innovative integration of multi-modal dat
Externí odkaz:
http://arxiv.org/abs/2409.18715
Autor:
MohajerAnsari, Pedram, Domeke, Alkim, de Voor, Jan, Mitra, Arkajyoti, Johnson, Grace, Salarpour, Amir, Olufowobi, Habeeb, Hamad, Mohammad, Pesé, Mert D.
Ensuring autonomous vehicle (AV) security remains a critical concern. An area of paramount importance is the study of physical-world adversarial examples (AEs) aimed at exploiting vulnerabilities in perception systems. However, most of the prevailing
Externí odkaz:
http://arxiv.org/abs/2409.18248