Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
module function » muscle function (Expand Search), nodule fraction (Expand Search)
model function » novel function (Expand Search), model fusion (Expand Search), model reaction (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
module function » muscle function (Expand Search), nodule fraction (Expand Search)
model function » novel function (Expand Search), model fusion (Expand Search), model reaction (Expand Search)
-
41
-
42
-
43
-
44
-
45
-
46
-
47
-
48
-
49
Experimental results of various loss functions.
Published 2025“…Finally, the SIoU loss function is used to replace CIoU to accelerate the convergence of the model. …”
-
50
-
51
Exponentially attenuated sinusoidal function.
Published 2025“…The ablation study evaluated the effectiveness of the proposed signal decomposition method and deep attention modules. The model based on MOCOA-VMD achieves the highest accuracy of 94.46%, outperforming models constructed using EEMD, VMD, CNN and LSTM modules. …”
-
52
The schematic diagram of the benefit-form parabola utility measure function.
Published 2025Subjects: -
53
-
54
The schematic diagram of benefit-form binary utility measure functions and.
Published 2025Subjects: -
55
The schematic diagram of the interval-form parabola utility measure function.
Published 2025Subjects: -
56
Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling
Published 2019“…The most widely employed tool to perform this task is MODELLER. This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …”
-
57
-
58
-
59
-
60