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Found 4 papers, 2 papers with code
Deep Learning Approach Combining Lightweight CNN Architecture with Transfer Learning: An Automatic Approach for the Detection and Recognition of Bangladeshi Banknotes
We have achieved maximum test accuracy of 98. 88\% on 8000 images dataset using MobileNet, 100\% on the 1970 images dataset using NASNetMobile, and 97. 77\% on the combined dataset (9970 images) using MobileNet.
Restyling Images with the Bangladeshi Paintings Using Neural Style Transfer: A Comprehensive Experiment, Evaluation, and Human Perspective
Our study acts as a pre-requisite for the impact of NST stylized image using Bangladeshi paintings on mobile UI/GUI and material translation from the human perspective.
Bengali Abstractive News Summarization(BANS): A Neural Attention Approach
Our proposed system deploys a local attention-based model that produces a long sequence of words with lucid and human-like generated sentences with noteworthy information of the original document.
Authorship Attribution in Bangla literature using Character-level CNN
Characters are the smallest unit of text that can extract stylometric signals to determine the author of a text.
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