Publications by authors named "Mohammad Ahsanul Haque"
Clinical and laboratory comparison of severe (Group B and C) Dengue cases with molecular characterization from 2019 epidemics in Dhaka, Bangladesh.
PLoS Negl Trop Dis
November 2024
Article Synopsis
- Acute arboviral infections, especially dengue, affect millions in tropical regions, with Asia being the most impacted; Bangladesh faced a major outbreak in 2019, prompting an extensive study in Dhaka.
- The study, conducted across three medical centers, involved nearly 2000 participants to explore clinical variations in severe dengue and to identify serotypes, enhancing understanding of the virus's behavior.
- Results indicated that severe cases were predominantly in younger males, with digestive symptoms more common in severe cases, while a small percentage of patients experienced fatal outcomes, highlighting the serious health and socioeconomic burden of dengue.
Researchers have recently focused their attention on vision-based hand gesture recognition. However, due to several constraints, achieving an effective vision-driven hand gesture recognition system in real time has remained a challenge. This paper aims to uncover the limitations faced in image acquisition through the use of cameras, image segmentation and tracking, feature extraction, and gesture classification stages of vision-driven hand gesture recognition in various camera orientations.
View Article and Find Full Text PDFThis research enhances crowd analysis by focusing on excessive crowd analysis and crowd density predictions for Hajj and Umrah pilgrimages. Crowd analysis usually analyzes the number of objects within an image or a frame in the videos and is regularly solved by estimating the density generated from the object location annotations. However, it suffers from low accuracy when the crowd is far away from the surveillance camera.
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