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- Kausar, Tasleem, et al. “Deep Learning Strategy for Braille Character Recognition.” IEEE Access 9 (2021): 169357-169371.
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- Yun Lu, Mingjiang Wang, Wanqing Wu, Qiquan Zhang, Yufei Han, Kausar Tasleem, Shixiong Chen, Ming Liu, Bo Wang, “Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals”[J], Complexity, vol. 2020, Article ID 4625218, 17 pages, 2020. https://doi.org/10.1155/2020/4625218.
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- Kausar Taskeem and G. Raja.Vehicle Load and Moving Similarity based AODV Routing Scheme for VANETs[J], Information Journal, Japan, Vol. 17, No. 6(B), June 2014, pp. 2813-2821.
- Lu Y, Wang M, Wang W, Zhang Q, Han Y, Kausar Tasleem, et al. LSTM RNN-based auditory attention decoding from electroencephalography[J], Neural Computing and Applications, 2019 (Under Review).
- Wu B, Kausar Tasleem, Xiao Q, Wang M, Wang W, Fan B, Sun D. FF-CNN: an efficient deep neural network for mitosis detection in breast cancer histological images[C]//In Proceedings of the 21st annual conference on medical image understanding and analysis, 2017: 249-260.
- Kausar Tasleem, M. Wang and M. S. S. Malik, “Cancer Detection in Breast Histopathology with Convolution Neural Network Based Approach[C]//,” 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), Abu Dhabi, United Arab Emirates, 2019, pp. 1-5, doi: 1109/AICCSA47632.2019.903524.
- Kausar Tasleem, M. Adnan et al. Convolution Neural Network based Approach for Breast Cancer Type
Classification[C]// In Proceedings of International Bhurban Conference on Applied Sciences and Technologies
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