Publications by authors named "A K Haji"
Article Synopsis
- The advancement of Unmanned Aerial Vehicles (UAVs) has improved urban target detection, but challenges like subtle features and complex backgrounds still hinder accuracy.
- The introduction of the Polysemantic Cooperative Detection Transformer (Pc-DETR), featuring the innovative Polysemantic Transformer (PoT) Backbone, enhances detection by utilizing contextual information and a dynamic attention matrix.
- The new training scheme, Polysemantic Cooperative Mixed-Task Training, increases learning capacity through diverse label assignments, achieving a 3% accuracy improvement over existing models like MFEFNet and pushing the boundaries for UAV surveillance systems.
Article Synopsis
- The systematic review evaluated the effectiveness of probiotics in treating patients with traumatic brain injury, highlighting their potential to modify normal microbial flora to improve clinical outcomes.
- The study analyzed data from 6 articles with a total of 391 patients, finding that probiotic therapy notably improved the Glasgow Coma Scale scores in older patients, while having no significant impact on other clinical assessment scores.
- Importantly, the findings suggested that probiotic treatment significantly reduced the risk of infections and mortality rates in these patients, indicating a beneficial effect of probiotics in managing complications associated with traumatic brain injury.
The current study proceeded to reduce the environmental hazards spreading worldwide due to synthetic dyes. To overcome these problems, eco-friendly natural dyes are introduced as alternative sources of synthetic dyes. The present study was focused on exploring the bio-colorant of the aqueous and acidic extract of the bark of L.
View Article and Find Full Text PDFBackground: According to previous reports, very high percentages of individuals in Saudi Arabia are undiagnosed for type 2 diabetes mellitus (T2DM). Despite conducting several screening and awareness campaigns, these efforts lacked full accessibility and consumed extensive human and material resources. Thus, developing machine learning (ML) models could enhance the population-based screening process.
View Article and Find Full Text PDFIn this study, it was aimed to analyze the effects of liposomes on the dyeing of polyacrylonitrile fabrics. For this purpose, firstly liposome synthesis was carried out, and then liposome production was confirmed by Fourier transform infrared spectroscopy analysis. Additionally, zeta potential measurements were carried out to see whether stable structures were formed.
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