Zobrazeno 1 - 10
of 68 114
pro vyhledávání: '"Fahad AS"'
Autor:
Riffat Shahani, Fahad Asmi, Jin Ma, Asma Zawar, Olayemi Hafeez Rufai, Sayibu Muhideen, Tunde Simeon Amosun, Chu Jianxun
Publikováno v:
Digital Health, Vol 9 (2023)
Objective Alarmingly, the individuals’ reach and coverage to get vaccinated in developing regions during the pandemic is a massive challenge for concerned authorities. This study aimed to demonstrate how cyberchondria play a significant role in a c
Externí odkaz:
https://doaj.org/article/45a1f10b5d8b4792b3316f07ac624684
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
Sustainable behaviors demand wielding communication strategies in social and political spheres for public understanding of scientific issues like climate change and the severe consequences of deteriorating environmental quality. Reliable information
Externí odkaz:
https://doaj.org/article/9946fd8b82cc4bd887ce1ebddbc67860
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
As a revolutionary biological science and technology, synthetic biology has already spread its influence from natural sciences to humanities and social sciences by introducing biosafety, biosecurity, and ethical issues to society. The current study a
Externí odkaz:
https://doaj.org/article/a7bebe759bb54c5c9b951a1663354ee3
Autor:
Hanif, Asif, Shamshad, Fahad, Awais, Muhammad, Naseer, Muzammal, Khan, Fahad Shahbaz, Nandakumar, Karthik, Khan, Salman, Anwer, Rao Muhammad
Medical foundation models are gaining prominence in the medical community for their ability to derive general representations from extensive collections of medical image-text pairs. Recent research indicates that these models are susceptible to backd
Externí odkaz:
http://arxiv.org/abs/2408.07440
Autor:
Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee
Publikováno v:
IEEE Access, Vol 10, Pp 14819-14834 (2022)
Visually impaired persons (VIPs) comprise a significant portion of the population, and they are present around the globe and in every part of the world. In recent times, technology proved its presence in every domain, and innovative devices assist hu
Externí odkaz:
https://doaj.org/article/08ec6cc44c024cba960e2901ea523a19
Stable diffusion has demonstrated strong image synthesis ability to given text descriptions, suggesting it to contain strong semantic clue for grouping objects. Inspired by this, researchers have explored employing stable diffusion for trainingfree s
Externí odkaz:
http://arxiv.org/abs/2409.03209
Autor:
Li, Long, Liu, Nian, Zhang, Dingwen, Li, Zhongyu, Khan, Salman, Anwer, Rao, Cholakkal, Hisham, Han, Junwei, Khan, Fahad Shahbaz
Publikováno v:
ECCV2024
Inter-image association modeling is crucial for co-salient object detection. Despite satisfactory performance, previous methods still have limitations on sufficient inter-image association modeling. Because most of them focus on image feature optimiz
Externí odkaz:
http://arxiv.org/abs/2409.01021
The rapid proliferation of large-scale text-to-image generation (T2IG) models has led to concerns about their potential misuse in generating harmful content. Though many methods have been proposed for erasing undesired concepts from T2IG models, they
Externí odkaz:
http://arxiv.org/abs/2408.16807
Medical vision-language models (Med-VLMs) trained on large datasets of medical image-text pairs and later fine-tuned for specific tasks have emerged as a mainstream paradigm in medical image analysis. However, recent studies have highlighted the susc
Externí odkaz:
http://arxiv.org/abs/2408.16769
Deep learning-based face recognition (FR) systems pose significant privacy risks by tracking users without their consent. While adversarial attacks can protect privacy, they often produce visible artifacts compromising user experience. To mitigate th
Externí odkaz:
http://arxiv.org/abs/2408.12387