Zobrazeno 1 - 10
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pro vyhledávání: '"SHARIF, MUHAMMAD"'
Automatic Speech Recognition (ASR) technology has witnessed significant advancements in recent years, revolutionizing human-computer interactions. While major languages have benefited from these developments, lesser-resourced languages like Urdu face
Externí odkaz:
http://arxiv.org/abs/2411.14493
The language called Balti belongs to the Sino-Tibetan, specifically the Tibeto-Burman language family. It is understood with variations, across populations in India, China, Pakistan, Nepal, Tibet, Burma, and Bhutan, influenced by local cultures and p
Externí odkaz:
http://arxiv.org/abs/2411.13409
Recent attention-based volumetric segmentation (VS) methods have achieved remarkable performance in the medical domain which focuses on modeling long-range dependencies. However, for voxel-wise prediction tasks, discriminative local features are key
Externí odkaz:
http://arxiv.org/abs/2410.01003
High-resolution images are preferable in medical imaging domain as they significantly improve the diagnostic capability of the underlying method. In particular, high resolution helps substantially in improving automatic image segmentation. However, m
Externí odkaz:
http://arxiv.org/abs/2410.00986
Autor:
Iqbal, Shahzaib, Ahmed, Hasnat, Sharif, Muhammad, Hena, Madiha, Khan, Tariq M., Razzak, Imran
Segmenting ultrasound images is critical for various medical applications, but it offers significant challenges due to ultrasound images' inherent noise and unpredictability. To address these challenges, we proposed EUIS-Net, a CNN network designed t
Externí odkaz:
http://arxiv.org/abs/2408.12323
Analysis of Cosmic Evolution admitting Garcia-Salcedo Ghost and Generalized Ghost Dark Energy Models
Publikováno v:
Physics of the Dark Universe (2024)
This study aims to explore the Garcia-Salcedo ghost dark energy and generalized ghost dark energy models in the context of $f(\mathrm{R},\mathrm{T^2})$ theory, where $\mathrm{R}$ is the Ricci scalar and $\mathrm{T^2}$ is the self-contraction of stres
Externí odkaz:
http://arxiv.org/abs/2405.16438
Gait recognition (GR) is a growing biometric modality used for person identification from a distance through visual cameras. GR provides a secure and reliable alternative to fingerprint and face recognition, as it is harder to distinguish between fal
Externí odkaz:
http://arxiv.org/abs/2309.10144
Autor:
Saleem, Sajjad1 (AUTHOR) ssaleem.student@wust.edu, Sharif, Muhammad Irfan2 (AUTHOR) irfan.sharif@ue.edu.pk, Sharif, Muhammad Imran3 (AUTHOR) imransharif@ksu.edu, Sajid, Muhammad Zaheer4 (AUTHOR) msajid.msse-27mcs@student.nust.edu.pk, Marinello, Francesco5 (AUTHOR) francesco.marinello@unipd.it
Publikováno v:
Agronomy. Oct2024, Vol. 14 Issue 10, p2230. 33p.
Autor:
Demidov, Dmitry, Sharif, Muhammad Hamza, Abdurahimov, Aliakbar, Cholakkal, Hisham, Khan, Fahad Shahbaz
Publikováno v:
VISAPP 2023
Fine-grained visual classification (FGVC) is a challenging computer vision problem, where the task is to automatically recognise objects from subordinate categories. One of its main difficulties is capturing the most discriminative inter-class varian
Externí odkaz:
http://arxiv.org/abs/2305.07102
Historically, the analysis of stimulus-dependent time-frequency patterns has been the cornerstone of most electroencephalography (EEG) studies. The abnormal oscillations in high-frequency waves associated with psychotic disorders during sensory and c
Externí odkaz:
http://arxiv.org/abs/2301.01588