ASMR (A), ASDR (B), Age-Standardized Rate of YLDs (C), and Age-Standardized Rate of YLLs (D) of high alcohol use-related Stroke in males and females across 21 GBD regions and SDI r... by Nannan Qian (10650782)

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Frontier analysis exploring the relationship between SDI and DALYs for two types of high alcohol use-related Stroke in 204 countries and territories. by Nannan Qian (10650782)

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Odds ratio of multivariable analysis of factors for Shiga toxin-producing <i>Escherichia coli</i> (<i>stx</i> only). by Amete Mihret Teshale (12072758)

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Positive stool samples by pathogen and study sites. by Amete Mihret Teshale (12072758)

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Odds Ratio of multivariable analysis of factors for <i>Campylobacter species.</i> by Amete Mihret Teshale (12072758)

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Odds ratio of multivariable analysis of factors for non-typhoidal <i>Salmonella.</i> by Amete Mihret Teshale (12072758)

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Socio-demographic and clinical characteristics of participants by study site. by Amete Mihret Teshale (12072758)

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(a) Seasonal trends of non-typhoidal <i>Salmonella</i> by study sites. (b) Seasonal trends of <i>Campylobacter species</i> by study sites. (c) Seasonal trends of Shiga toxin-produc... by Amete Mihret Teshale (12072758)

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Mean age of patients submitting stool samples per study site. by Amete Mihret Teshale (12072758)

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Study areas of sample collection in Ethiopia, eastern Africa by Amete Mihret Teshale (12072758)

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Prevaelnce of different pathogens by location. by Amete Mihret Teshale (12072758)

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Odds ratio of multivariable analysis of factors for Shiga-toxin producing <i>Escherichia coli</i> (<i>stx</i> by Amete Mihret Teshale (12072758)

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Summary of previous work. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Comparison of MAP@0.5 results from experiments. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

YOLO11. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Structure of the SCI-YOLO11 network. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Comparative experimental results. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

SCI-YOLO11. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Dataset for insulator defect detection. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”