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Publication search results
found 9 matches
- 2024
- Syed Azeem Inam, Daniyal Iqbal, Hassan Hashim, Mansoor Ahmed Khuhro:
An empirical approach towards detection of tuberculosis using deep convolutional neural network. Int. J. Data Min. Model. Manag. 16(1): 101-112 (2024) - Umair Saeed, Kamlesh Kumar, Mansoor Ahmed Khuhro, Asif Ali Laghari, Aftab Ahmed Shaikh, Athaul Rai:
DeepLeukNet - A CNN based microscopy adaptation model for acute lymphoblastic leukemia classification. Multim. Tools Appl. 83(7): 21019-21043 (2024) - Abdul Qayoom, Mansoor Ahmed Khuhro, Kamlesh Kumar, Muhammad Waqas, Umair Saeed, Shafiq ur Rehman, Yadong Wu, Song Wang:
A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme. PeerJ Comput. Sci. 10: e1998 (2024) - 2022
- Feng Dong, Xiaofeng Wang, Ammar Oad, Mir Sajjad Hussain Talpur, Mansoor Ahmed Khuhro, Bowen Sun:
A Feature Sparse Co-Attention Network for Visual internet of things (VIoT) sensing. Comput. Electr. Eng. 101: 107988 (2022) - Umair Saeed, Kamlesh Kumar, Asif Ali Laghari, Mansoor Ahmed Khuhro, Noman Islam, Ghulam Muhammad Shaikh, Fahad Hussain, Aftab Ahmed Shaikh:
A comparative analysis of classification techniques for human activity recognition using wearable sensors and smart-phones. EAI Endorsed Trans. Pervasive Health Technol. 8(30): e1 (2022) - 2018
- Shao-nian Huang, Dong-jun Huang, Mansoor Ahmed Khuhro:
Social Pedestrian Group Detection Based on Spatiotemporal-oriented Energy for Crowd Video Understanding. KSII Trans. Internet Inf. Syst. 12(8): 3769-3789 (2018) - 2015
- Shao-nian Huang, Dong-jun Huang, Mansoor Ahmed Khuhro:
High-Level Codewords Based on Granger Causality for Video Event Detection. Adv. Multim. 2015: 698316:1-698316:10 (2015) - Shao-nian Huang, Dong-jun Huang, Mansoor Ahmed Khuhro:
Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute. J. Electr. Comput. Eng. 2015: 492051:1-492051:12 (2015) - Lili Yang, Jie Wang, Mansoor Ahmed Khuhro:
Pippy Search: Anomaly Traffic Clustering. SmartCity 2015: 378-383
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