Research
My present research is focused on image segmentation using non-deep learning and deep learning techniques.
Publications
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Shibly MMA, Tisha TA, Tani TA, Ripon S. 2021. 'Convolutional neural network-based ensemble methods to recognize Bangla handwritten character'. PeerJ Computer Science 7:e565.(SCI and SCOPUS indexed, rank: Q1)
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T.A. Tani, T. Islam, S. A. Newaz and N. Sultana, 'Systematic Analysis of Hateful Text Detection Using Machine Learning Classifiers'. 13th International Conference on Information & Communication Technology and System (ICTS), 2021, IEEE Xplore and SCOPUS Indexed.
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Tani, T.A., Shibly, M.M.A., Ripon, S. (2022). 'A Deep Convolutional Generative Adversarial Network Based Model to Analyze Histopathological Breast Cancer Images'. International Conference on Machine Intelligence & Data Science Applications (MIDAS 2021), Lecture Notes on Data Engineering and Communications Technologies, Springer.
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Tani, T.A., Shibly, M.M.A., Hasan, M.S., Yeasmin, N., Ripon, S. (2023). 'Autoencoder and Deep Convolutional Generative Adversarial Network in Improving the Performance of Bangla Handwritten Character Recognition. '. In: Roy, S.S., Hsu, CH., Kagita, V. (eds) Deep Learning Applications in Image Analysis. Studies in Big Data, vol 129. Springer, Singapore.