The standard deviation of the training results for each round of our improved YOLOv7 model. حسب Guoqing Zhang (151441)

الموضوعات:

GSConv module. حسب Guoqing Zhang (151441)

الموضوعات:

IOWarp v1.0 Beta: Advancing Scientific AI with Intelligent Data Management & MCP Integration حسب Anthony Kougkas (17069216)

Transmission modelling flowchart. حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Reported measles incidence in Ethiopia in 2019 across reported five-year age groups. حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Proportion susceptible across each zone in 2019 in Ethiopia among 0-to-4-year-olds among unvaccinated (i.e., 1 – MCV1 coverage from routine or supplemental immunization) and modell... حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Susceptibility by age (among 0-to-4-year-olds) by zone and year from years 2013, 2016 and 2019. حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Susceptibility by age (among 0-to-4-year-olds) in 2013 compared to 2019. حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Transmission modelling functional block diagram. حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Raw reported weekly suspected measles case notifications nationally and by region (i.e., first-administrative unit) in Ethiopia from 2013 to 2019. حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Reported annual suspected measles case notifications nationally (blue, solid line) from 2000 to 2019 via Joint Reporting Form and aggregated subnational case notifications to natio... حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Reported measles incidence across regions in Ethiopia against first-dose measles-containing vaccine (MCV1) coverage for each zone-year among 0-to-4-year-olds from 2013 to 2019. حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Proportion susceptible in 2019 in Ethiopia among 0-to-4-year-olds, top panel unvaccinated (i.e., 1 – MCV1 coverage from routine or supplemental immunization) and bottom panel from... حسب Alyssa N. Sbarra (18460545)

الموضوعات:

Smoothed reported suspected measles incidence among 0-to-4-year-olds (light blue) compared to estimated incidence adjusted for reporting (black) from best model fit across each zon... حسب Alyssa N. Sbarra (18460545)

الموضوعات:

G4SNVHunter workflow for identifying variants that affect G4 formation. حسب Rongxin Zhang (1618159)

Image 5_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg حسب Tim Unger (20457145)

"…Advances in computer vision and human pose estimation allow for human movement analysis using consumer-grade cameras. This study investigates whether a single webcam, combined with human pose estimation and deep learning algorithms, can automatically detect compensatory movements in persons with stroke performing a drinking task. …"

Image 4_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg حسب Tim Unger (20457145)

"…Advances in computer vision and human pose estimation allow for human movement analysis using consumer-grade cameras. This study investigates whether a single webcam, combined with human pose estimation and deep learning algorithms, can automatically detect compensatory movements in persons with stroke performing a drinking task. …"

Image 2_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg حسب Tim Unger (20457145)

"…Advances in computer vision and human pose estimation allow for human movement analysis using consumer-grade cameras. This study investigates whether a single webcam, combined with human pose estimation and deep learning algorithms, can automatically detect compensatory movements in persons with stroke performing a drinking task. …"

Image 1_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg حسب Tim Unger (20457145)

"…Advances in computer vision and human pose estimation allow for human movement analysis using consumer-grade cameras. This study investigates whether a single webcam, combined with human pose estimation and deep learning algorithms, can automatically detect compensatory movements in persons with stroke performing a drinking task. …"

Image 3_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg حسب Tim Unger (20457145)

"…Advances in computer vision and human pose estimation allow for human movement analysis using consumer-grade cameras. This study investigates whether a single webcam, combined with human pose estimation and deep learning algorithms, can automatically detect compensatory movements in persons with stroke performing a drinking task. …"