Zobrazeno 1 - 10
of 2 946
pro vyhledávání: '"Khan Salman A."'
Publikováno v:
FME Transactions, Vol 51, Iss 4, Pp 575-584 (2023)
Wind energy has emerged as a potential alternative to traditional energy sources for economical and clean power generation. One important aspect of wind energy generation is the layout design of the wind farm so as to harness maximum energy. Due to i
Externí odkaz:
https://doaj.org/article/ce892bfaee664a8c82d7d2be11f56ff9
Autor:
Khan Salman A.
Publikováno v:
FME Transactions, Vol 50, Iss 4, Pp 664-673 (2022)
Wind energy is a potential replacement for traditional, fossil-fuel-based power generation sources. One important factor in the process of wind energy generation is to design of the optimal layout of a wind farm to harness maximum energy. This layout
Externí odkaz:
https://doaj.org/article/e0aca89baa4d460cbfb0848fc0f33fc2
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
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:
Sun, Yasheng, Li, Bohan, Zhuge, Mingchen, Fan, Deng-Ping, Khan, Salman, Khan, Fahad Shahbaz, Koike, Hideki
Recent breakthroughs in understanding the human brain have revealed its impressive ability to efficiently process and interpret human thoughts, opening up possibilities for intervening in brain signals. In this paper, we aim to develop a straightforw
Externí odkaz:
http://arxiv.org/abs/2408.07317
Autor:
Ali, Muhammad, Khan, Salman
The complex marine environment exacerbates the challenges of object detection manifold. Marine trash endangers the aquatic ecosystem, presenting a persistent challenge. Accurate detection of marine deposits is crucial for mitigating this harm. Our wo
Externí odkaz:
http://arxiv.org/abs/2408.01293
Recent advancements in state-space models (SSMs) have showcased effective performance in modeling long-range dependencies with subquadratic complexity. However, pure SSM-based models still face challenges related to stability and achieving optimal pe
Externí odkaz:
http://arxiv.org/abs/2407.13772
Existing deep learning approaches leave out the semantic cues that are crucial in semantic segmentation present in complex scenarios including cluttered backgrounds and translucent objects, etc. To handle these challenges, we propose a feature amplif
Externí odkaz:
http://arxiv.org/abs/2407.09379
Autor:
He, Yuanyang, Huang, Zitong, Xu, Xinxing, Goh, Rick Siow Mong, Khan, Salman, Zuo, Wangmeng, Liu, Yong, Feng, Chun-Mei
Black-box tuning has attracted recent attention due to that the structure or inner parameters of advanced proprietary models are not accessible. Proxy-tuning provides a test-time output adjustment for tuning black-box language models. It applies the
Externí odkaz:
http://arxiv.org/abs/2407.01155
Autor:
Gupta, Akshita, Arora, Aditya, Narayan, Sanath, Khan, Salman, Khan, Fahad Shahbaz, Taylor, Graham W.
Open-Vocabulary Temporal Action Localization (OVTAL) enables a model to recognize any desired action category in videos without the need to explicitly curate training data for all categories. However, this flexibility poses significant challenges, as
Externí odkaz:
http://arxiv.org/abs/2406.15556