• Deep learning based crowd monitoring and person identification system 

  Haque, Mohammad Fahim; Sarkar, Dipto; Choudhury, Tawhid Al Muhaimin; Rafi, Samiul Hoque; Rahim, Md Shajidur (Brac University, 2023-09)

  In this paper, we propose a deep learning-based crowd monitoring and person identification system and a crowd-video dataset to address the challenges posed by the recent COVID-19 pandemic or future pandemics may occur, ...
• An implementation and analysis of deep learning models for the detection of wheat diseases 

  Zubair, Ahmad; Keya, Sharmin Akter; Shailee, Tasnia Zarin; Lenin, Syed Mahathir Md; Nandi, Dhruba (Brac University, 2023-09)

  Detecting a disease visually is a time-consuming and error-prone operation, and in the agricultural arena, for disease control, crop yield loss prediction, and global food security, automatic and accurate evaluation of ...
• Linguistic landscape of Dhaka city: an exploratory study 

  Tasnim, Nazifa (Brac University, 2023-06)

  The study showcases the present condition of Dhaka city’s Linguistic Landscape. It is the written language in textual format on the visible signboards, billboards, nameplates even on the shop windows which are meant for ...
• Distribution of complete CRISPR-Cas systems in vibrio cholerae and its effect on presence of plasmid derived contigs in complete genome assemblies 

  Reza, Ratul (BRAC University, 2023-05)

  Cholera is a water-borne disease caused by Vibrio cholerae that causes severe diarrhea and dehydration. Plasmids disseminate antibiotic resistance and have the potential to play critical roles in epidemic outbreaks. ...
• A collection of data on several formulations assay types and subtypes 

  Sarma, Senjuti (Brac University, 2023-09)

  This paper reviews a number of the British Pharmacopeia-approved drug analysis methods. A list was created by compiling the several assay types and subtypes that were performed for each formulation. Bar and pie charts were ...

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