بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
significantly point » significantly onto (توسيع البحث), significantly poorer (توسيع البحث), significantly lower (توسيع البحث)
point decrease » point increase (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
significantly point » significantly onto (توسيع البحث), significantly poorer (توسيع البحث), significantly lower (توسيع البحث)
point decrease » point increase (توسيع البحث)
-
821
-
822
-
823
-
824
-
825
Valve closing capability and hemolymph flow analysis.
منشور في 2025"…Pixel intensity in ROI 1 increases if hemolymph packages pass and decreases, if valves close after each heartbeat, respectively. …"
-
826
-
827
Differences in mean scores of upper extremity performance in all five accelerometer-derived variables across four time points- pre-HABIT, post-HABIT, 3-month, and 6-month post-HABI...
منشور في 2024"…The trends seen in the line graphs above indicate a decrease in all the accelerometer derived variables at 3-month time point (except use ratio) suggesting decrease in bimanual performance. …"
-
828
-
829
Accuracy test results.
منشور في 2025"…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. …"
-
830
Experiment environment and parameter.
منشور في 2025"…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. …"
-
831
Test results for NME and FR.
منشور في 2025"…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. …"
-
832
DARTS algorithm process.
منشور في 2025"…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. …"
-
833
Comparison result of memory usage.
منشور في 2025"…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. …"
-
834
LKA model structure.
منشور في 2025"…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. …"
-
835
Test results on different datasets.
منشور في 2025"…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. …"
-
836
Comparison result of memory usage.
منشور في 2025"…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. …"
-
837
Residual configuration.
منشور في 2025"…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. …"
-
838
pHI for net status.
منشور في 2025"…</p><p>Conclusion</p><p>Both physical integrity and bioefficacy of LLINs declined significantly within 18 months. The findings demonstrate that not all nets in the field offer maximum protection by this time point, calling for net care education and further evaluation of PBO-LLINs especially in pyrethroid-resistant regions.…"
-
839
Combined net integrity PBO and LLINs-PLOS1.
منشور في 2025"…</p><p>Conclusion</p><p>Both physical integrity and bioefficacy of LLINs declined significantly within 18 months. The findings demonstrate that not all nets in the field offer maximum protection by this time point, calling for net care education and further evaluation of PBO-LLINs especially in pyrethroid-resistant regions.…"
-
840
Factors affecting pyrethroid-LLINs integrity.
منشور في 2025"…</p><p>Conclusion</p><p>Both physical integrity and bioefficacy of LLINs declined significantly within 18 months. The findings demonstrate that not all nets in the field offer maximum protection by this time point, calling for net care education and further evaluation of PBO-LLINs especially in pyrethroid-resistant regions.…"