Publications by authors named "Md Golam Moazzam"
Article Synopsis
- Search engines have become the go-to resource for people seeking information on various topics, with "How To" searches being particularly popular for finding step-by-step solutions to problems.
- This study focuses on "How To" articles from wikiHow, using a dataset of over 11,000 entries to identify multiple instructional categories through advanced deep learning models like XLNet and BERT.
- The XLNet architecture achieved remarkable results, with an accuracy of 97.30% and high macro average scores, highlighting its effectiveness in classifying multi-label instructions within their proposed 'InstructNet' framework.
This article presents a comprehensive dataset sourced from various markets across Bangladesh, highlighting 20 distinct rice varieties predominantly consumed locally. The dataset encompasses a diverse range of rice strains, including Subol Lota, Bashmoti (Deshi), Ganjiya, Shampakatari, Sugandhi Katarivog, BR-28, BR-29, Paijam, Bashful, Lal Aush, BR-Jirashail, Gutisharna, Birui, Najirshail, Pahari Birui, Polao (Katari), Polao (Chinigura), Amon, Shorna-5, and Lal Binni. Using a smartphone camera, low-resolution images capturing the essence of each rice variety were meticulously obtained, resulting in a total of 4,730 images with a non-uniform distribution.
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