Experiment environment and parameter. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Test results for NME and FR. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

DARTS algorithm process. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Comparison result of memory usage. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

LKA model structure. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Test results on different datasets. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Comparison result of memory usage. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Residual configuration. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Test results for P, R, F1, and OA. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Schematic diagram of DARTS-VAN model structure. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

DARTS-VAN model unit search process. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Model selection based on best fit. حسب Angelina Mageni Lutambi (22097223)

"…<div><p>Malaria remains a significant public health challenge, particularly among vulnerable populations in high-burden countries like Tanzania. …"

CK8 knockdown and ROCK1 inhibitor suppressed rTsSPc-induced disruption of the Caco-2 monolayer and blocked rTsSPc-promoted IIL invasion. حسب Wen Wen Zheng (17721404)

Specifications of prototypes of RSSCA system. حسب Ngoc-Hai Vu (22290844)

"…Compared to conventional PV systems, the RSSCA offers improved light uniformity, better land-use efficiency, and significantly higher electricity generation. …"

Design of a RSSCA system for agriculture. حسب Ngoc-Hai Vu (22290844)

"…Compared to conventional PV systems, the RSSCA offers improved light uniformity, better land-use efficiency, and significantly higher electricity generation. …"

Illinois agility test [22]. حسب Rıdvan Ergin (22265431)

"…</p><p>Results</p><p>A positive significant relationship was found between age and years of sports (r = .759; p < 0.01) and vertical jump (r = .657; p < 0.01) in male handball players, as well as a positive significant relationship between body weight and agility (r = .621; p < 0.05). …"

Conceptual model created for research. حسب Rıdvan Ergin (22265431)

"…</p><p>Results</p><p>A positive significant relationship was found between age and years of sports (r = .759; p < 0.01) and vertical jump (r = .657; p < 0.01) in male handball players, as well as a positive significant relationship between body weight and agility (r = .621; p < 0.05). …"

Pre- & post awareness session scores. حسب Stavia Turyahabwe (9925935)

"…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…"

VOT vs DOTS TB treatment adherence rates. حسب Stavia Turyahabwe (9925935)

"…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…"

Sample size and duration of the pilot study. حسب Stavia Turyahabwe (9925935)

"…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…"