Zobrazeno 1 - 10
of 12 354
pro vyhledávání: '"Pervaiz, A"'
Autor:
Mehta, Nikhil, Lorraine, Jonathan, Masson, Steve, Arunachalam, Ramanathan, Bhat, Zaid Pervaiz, Lucas, James, Zachariah, Arun George
When training deep learning models, the performance depends largely on the selected hyperparameters. However, hyperparameter optimization (HPO) is often one of the most expensive parts of model design. Classical HPO methods treat this as a black-box
Externí odkaz:
http://arxiv.org/abs/2406.18630
Autor:
Ali, Aamir, Imran, Muhammad, Kuznetsov, Valentin, Trigazis, Spyridon, Pervaiz, Aroosha, Pfeiffer, Andreas, Mascheroni, Marco
The CMSWEB cluster is pivotal to the activities of the Compact Muon Solenoid (CMS) experiment, as it hosts critical services required for the operational needs of the CMS experiment. The security of these services and the corresponding data is crucia
Externí odkaz:
http://arxiv.org/abs/2405.15342
Autor:
Li, Haiguang, Pervaiz, Usama, Antognini, Joseph, Matuszak, Michał, Au, Lawrence, Roux, Gilles, Thormundsson, Trausti
On-device machine learning (ODML) enables powerful edge applications, but power consumption remains a key challenge for resource-constrained devices. To address this, developers often face a trade-off between model accuracy and power consumption, emp
Externí odkaz:
http://arxiv.org/abs/2405.01739
Detecting diseases from social media has diverse applications, such as public health monitoring and disease spread detection. While language models (LMs) have shown promising performance in this domain, there remains ongoing research aimed at refinin
Externí odkaz:
http://arxiv.org/abs/2405.01597
Autor:
Li, Haiguang, Pervaiz, Usama, Matuszak, Michał, Kamara, Robert, Roux, Gilles, Thormundsson, Trausti, Antognini, Joseph
On-device machine learning (ODML) enables intelligent applications on resource-constrained devices. However, power consumption poses a major challenge, forcing a trade-off between model accuracy and power efficiency that often limits model complexity
Externí odkaz:
http://arxiv.org/abs/2404.04405
Cold atom systems provide a rich platform to realize strongly interacting condensed matter systems, and recent progress in fluorescence imaging technique has enabled identification of nontrivial doublon, singlon, and holon correlation functions. We s
Externí odkaz:
http://arxiv.org/abs/2403.13054
There are not many large medical image datasets available. For these datasets, too small deep learning models can't learn useful features, so they don't work well due to underfitting, and too big models tend to overfit the limited data. As a result,
Externí odkaz:
http://arxiv.org/abs/2311.00154
An ever-increasing amount of social media content requires advanced AI-based computer programs capable of extracting useful information. Specifically, the extraction of health-related content from social media is useful for the development of diverse
Externí odkaz:
http://arxiv.org/abs/2310.19057
Autor:
Nadir Ali, Rabia Almas, Umaima Saleem, Sanam Irum, Mehwish Shahzad, Samander Ali Malik, Azhar Ali, Pervaiz Ali
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 43, Iss 3, Pp 183-189 (2024)
This research aimed to evaluate the performance of dyes extracted from Acacia Nilotica bark on Tencel fabric dyeing. The extraction of dye was optimized by extracting dyes with different liquor ratios. The dyeing parameters were optimized under pH va
Externí odkaz:
https://doaj.org/article/c6beb7294e444a53a25b868ea480b852
Autor:
Butt Salman Pervaiz, Kumar Arun, Ashiq Fazil, Minou Andrei, Iuppa Giuseppe, Quintini Cristiano
Publikováno v:
The Journal of ExtraCorporeal Technology, Vol 56, Iss 2, Pp 77-81 (2024)
Venovenous bypass (VVB) is a technique used in liver transplantation (LT) to maintain hemodynamic stability and abdominal organ perfusion and thereby improve patient outcomes. Despite its perceived benefits, VVB utilization has declined globally due
Externí odkaz:
https://doaj.org/article/2746bb18d15b403b94fa71eb9d8a0118