Zobrazeno 1 - 10
of 707
pro vyhledávání: '"Shahroz A"'
Autor:
Ali Gohar, Bilal Ahmed, Shahroz Azhar, Aqsa Iqbal, Ali Usman, Muhammad Husnain Ahmad, Masab Ali, Muhammad Daim Jawaid
Publikováno v:
Clinical Case Reports, Vol 12, Iss 10, Pp n/a-n/a (2024)
Key Clinical Message This case report highlights dilated cardiomyopathy as a cardiovascular complication in autoimmune polyendocrine syndrome type 1 (APS‐1), emphasizing the need for early recognition and a multidisciplinary approach. Comprehensive
Externí odkaz:
https://doaj.org/article/c4d54b034ef44ba783fc8fce02385f5a
Autor:
Ahmad Nawaz, Javeria Kiran, Amina Zafar, Shahroz Alam, Muhammad Amjad Bashir, Munaza Batool, Sagheer Atta, Mamoona Noreen, Muhammad Yousaf Ali, Khizar Samiullah, Riffat Yasin, Mahroz Fazal, Wadi B. Alonazi, Awais Amjad, Safdar Hussain, Umair Khurshid, Muhammad Essa
Publikováno v:
Journal of King Saud University: Science, Vol 35, Iss 3, Pp 102519- (2023)
Taking everything into account, the information and attention to diabetes was low, while the pervasiveness of these diseases was high among the number of inhabitants in blood benefactors. This examination discovered that monitoring and having higher
Externí odkaz:
https://doaj.org/article/489b966186e741ff828acee1a8ed93d0
Publikováno v:
AIMS Mathematics, Vol 7, Iss 4, Pp 5790-5807 (2022)
In this paper, we investigate the theory of rough set to study graphs using the concept of orbits. Rough sets are based on a clustering criterion and we use the idea of similarity of vertices under automorphism as a criterion. We introduce indiscerni
Externí odkaz:
https://doaj.org/article/3cc08b8d7b0b4b84ad1f9fc4acd59cfd
Artificial intelligence (AI) tools are now prevalent in many knowledge work industries. As AI becomes more capable and interactive, there is a growing need for guidance on how to employ AI most effectively. The A2C framework (Tariq, Chhetri, Nepal &
Externí odkaz:
http://arxiv.org/abs/2411.07406
Publikováno v:
Results in Materials, Vol 16, Iss , Pp 100341- (2022)
AA7075 alloy is a high-strength aluminum alloy with properties enhanced by heat treatments. However, like most high-strength aluminum alloys, AA7075 is non-weldable, as it suffers from hot cracking when it is welded or additively manufactured with fu
Externí odkaz:
https://doaj.org/article/dfb88e0e36cb40129c2b511674a5af1a
Autor:
Khan, Rana Muhammad Shahroz, Li, Pingzhi, Yun, Sukwon, Wang, Zhenyu, Nirjon, Shahriar, Wong, Chau-Wai, Chen, Tianlong
As large language models (LLMs) increasingly shape the AI landscape, fine-tuning pretrained models has become more popular than in the pre-LLM era for achieving optimal performance in domain-specific tasks. However, pretrained LLMs such as ChatGPT ar
Externí odkaz:
http://arxiv.org/abs/2410.10870
Publikováno v:
Journal of Rawalpindi Medical College, Vol 26, Iss 1 (2022)
ABSTRACT Purpose Aim of the study was to determine the standards of emotional intelligence among students of Rawalpindi Medical University, Rawalpindi. Method A cross-sectional study, employing the use of a self-made online questionnaire, was carried
Externí odkaz:
https://doaj.org/article/2c0d44be50d24f4bb65f8735286e4ab0
Deepfake detection is critical in mitigating the societal threats posed by manipulated videos. While various algorithms have been developed for this purpose, challenges arise when detectors operate externally, such as on smartphones, when users take
Externí odkaz:
http://arxiv.org/abs/2407.10399
Autor:
Khan, Shahroz, Masood, Zahid, Usama, Muhammad, Kostas, Konstantinos, Kaklis, Panagiotis, Wei, Chen
In this work, we propose a set of physics-informed geometric operators (GOs) to enrich the geometric data provided for training surrogate/discriminative models, dimension reduction, and generative models, typically employed for performance prediction
Externí odkaz:
http://arxiv.org/abs/2407.07611
Autor:
Wang, Zhiqiang, Xu, Dejia, Khan, Rana Muhammad Shahroz, Lin, Yanbin, Fan, Zhiwen, Zhu, Xingquan
Image geolocation is a critical task in various image-understanding applications. However, existing methods often fail when analyzing challenging, in-the-wild images. Inspired by the exceptional background knowledge of multimodal language models, we
Externí odkaz:
http://arxiv.org/abs/2405.20363