Zobrazeno 1 - 10
of 7 097
pro vyhledávání: '"FAZIL, A."'
This study explores the widespread perception that personal data, such as email addresses, may be shared or sold without informed user consent, investigating whether these concerns are reflected in actual practices of popular online services and apps
Externí odkaz:
http://arxiv.org/abs/2410.08302
Stunting detection is a significant issue in Indonesian healthcare, causing lower cognitive function, lower productivity, a weakened immunity, delayed neuro-development, and degenerative diseases. In regions with a high prevalence of stunting and lim
Externí odkaz:
http://arxiv.org/abs/2409.14105
Autor:
Pramana, A. A. G. Yogi, Permana, Faiz Ihza, Maulana, Muhammad Fazil, Fudholi, Dzikri Rahadian
Tuberculosis (TB) is caused by the bacterium Mycobacterium tuberculosis, primarily affecting the lungs. Early detection is crucial for improving treatment effectiveness and reducing transmission risk. Artificial intelligence (AI), particularly throug
Externí odkaz:
http://arxiv.org/abs/2409.11644
Autor:
Ma, Guangdong, Shen, Che-Yung, Li, Jingxi, Huang, Luzhe, Isil, Cagatay, Ardic, Fazil Onuralp, Yang, Xilin, Li, Yuhang, Wang, Yuntian, Rahman, Md Sadman Sakib, Ozcan, Aydogan
Unidirectional imagers form images of input objects only in one direction, e.g., from field-of-view (FOV) A to FOV B, while blocking the image formation in the reverse direction, from FOV B to FOV A. Here, we report unidirectional imaging under spati
Externí odkaz:
http://arxiv.org/abs/2408.05449
Publikováno v:
International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958 (Online), Volume-9 Issue-1S3, December 2019
The machine vision systems have been playing a significant role in visual monitoring systems. With the help of stereovision and machine learning, it will be able to mimic human-like visual system and behaviour towards the environment. In this paper,
Externí odkaz:
http://arxiv.org/abs/2406.19498
Autor:
Sofi, Shakir Showkat, Munieeb, Mosaib Ul, Bashir, Fazil, Hassan, Munieeb Ul, Nahvi, Shahkar Ahmad
Publikováno v:
Franklin Open, 2024
Lagrangian modelling can be used to derive mathematical models for complex power electronic converters. This approach uses scalar quantities (kinetic and potential energy) to derive models, which is simpler than using (vector-based) force balance equ
Externí odkaz:
http://arxiv.org/abs/2406.09826
The Linux kernel is highly-configurable, with a build system that takes a configuration file as input and automatically tailors the source code accordingly. Configurability, however, complicates testing, because different configuration options lead t
Externí odkaz:
http://arxiv.org/abs/2404.17966
Autor:
Butt Salman Pervaiz, Kakar Vivek, Kumar Arun, Razzaq Nabeel, Saleem Yasir, Ali Babar, Raposo Nuno, Ashiq Fazil, Ghori Arshad, Anderson Philip, Srivatav Nilesh, Aljabery Yazan, Abdulaziz Salman, Darr Umer, Bhatnagar Gopal
Publikováno v:
The Journal of ExtraCorporeal Technology, Vol 56, Iss 3, Pp 136-144 (2024)
Introduction: Heparin, a commonly used anticoagulant in cardiac surgery, binds to antithrombin III (ATIII) to prevent clot formation. However, heparin resistance (HR) can complicate surgical procedures, leading to increased thromboembolic risks and b
Externí odkaz:
https://doaj.org/article/527a6f8495d14906af5d949489e6b157
Autor:
Naveen Srinivas, Praveen K. Ramdurg, Ketki Sali, K Mohammed Fazil, Anusha B Rudrakshi, Vijayalakshmi Gachinmath
Publikováno v:
Journal of Indian Academy of Oral Medicine and Radiology, Vol 36, Iss 3, Pp 311-313 (2024)
Background of the Study: Studies conducted for the determination of gender utilizing changes in trabecular pattern in mandible on an orthopantomogram have been very sparse. Hence, this study is designed to help in gender determination using an innova
Externí odkaz:
https://doaj.org/article/8600072112a9434ebf792894d7d20f50
The exploitation of visible spectrum datasets has led deep networks to show remarkable success. However, real-world tasks include low-lighting conditions which arise performance bottlenecks for models trained on large-scale RGB image datasets. Therma
Externí odkaz:
http://arxiv.org/abs/2304.07031