Risultati della ricerca - Sharif, Muhammad
- Mostra 1 - 15 risultati su 15
-
1
Balti-Tamko 02: Continuous speech dataset for Balti ASR. Autoría: Sharif, Muhammad
Pubblicazione 2025Fuente: ZenodoTipo de material: Recurso digitalAcceso al recurso -
2
An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases Autoría: Saleem, Sajjad, Sharif, Muhammad Imran
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
3
Systematic Literature Review on Clinical Trial Eligibility Matching Autoría: Sharif, Muhammad Talha, Rehman, Abdul
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
4
MSGL-Transformer: A Multi-Scale Global-Local Transformer for Rodent Social Behavior Recognition Autoría: Sharif, Muhammad Imran, Caragea, Doina
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
5
Unification of Balti and trans-border sister dialects in the essence of LLMs and AI Technology Autoría: Sharif, Muhammad, Yi, Jiangyan, Shoaib, Muhammad
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
6
Analysis of Cosmic Evolution admitting Garcia-Salcedo Ghost and Generalized Ghost Dark Energy Models Autoría: Gul, Muhammad Zeeshan, Sharif, Muhammad, Hashim, Imran
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
7
From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language Autoría: Sharif, Muhammad, Abbas, Zeeshan, Yi, Jiangyan, Liu, Chenglin
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
8
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting Autoría: Sharif, Muhammad Hamza, Demidov, Dmitry, Hanif, Asif, Yaqub, Mohammad, Xu, Min
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
9
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation Autoría: Sharif, Muhammad Hamza, Naseer, Muzammal, Yaqub, Mohammad, Xu, Min, Guizani, Mohsen
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
10
Salient Mask-Guided Vision Transformer for Fine-Grained Classification Autoría: Demidov, Dmitry, Sharif, Muhammad Hamza, Abdurahimov, Aliakbar, Cholakkal, Hisham, Khan, Fahad Shahbaz
Pubblicazione 2023Fuente: arXivTipo de material: PreprintAcceso al recurso -
11
Equity-Aware Geospatial AI for Forecasting Demand-Driven Hospital Locations in Germany Autoría: Pant, Piyush, Suntoro, Marcellius William, Siddiqua, Ayesha, Sharif, Muhammad Shehryaar, Ahmed, Daniyal
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
12
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation Autoría: Iqbal, Shahzaib, Ahmed, Hasnat, Sharif, Muhammad, Hena, Madiha, Khan, Tariq M., Razzak, Imran
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
13
Phase Transitions, Geodesic Structure, and Thermodynamic Properties Measurement of Einstein-Maxwell-Power Yang-Mills Black Hole Models Autoría: Bouzenada, Abdelmalek, Moreira, Allan. R. P., Dong, Shi-Hai, Sun, Guo-Hua, Sharif, Muhammad
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
14
Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation Autoría: Naeem, Muhammad Ahtsam, Saleem, Muhammad Asim, Sharif, Muhammad Imran, Akber, Shahzad, Saleem, Sajjad, Akhtar, Zahid, Siddique, Kamran
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
15
Deep Learning in Early Alzheimer's disease's Detection: A Comprehensive Survey of Classification, Segmentation, and Feature Extraction Methods Autoría: Hafeez, Rubab, Waheed, Sadia, Naqvi, Syeda Aleena, Maqbool, Fahad, Sarwar, Amna, Saleem, Sajjad, Sharif, Muhammad Imran, Siddique, Kamran, Akhtar, Zahid
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso