Search alternatives:
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a step » _ step (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a step » _ step (Expand Search)
-
13681
U<sup>2</sup>-Net network structure diagram [8].
Published 2024“…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
-
13682
RSU-7 structure diagram [8].
Published 2024“…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
-
13683
Drill image dataset for training part I.
Published 2024“…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
-
13684
-
13685
-
13686
-
13687
-
13688
Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote...
Published 2023“…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
-
13689
Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote...
Published 2023“…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
-
13690
Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote...
Published 2023“…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
-
13691
-
13692
-
13693
-
13694
-
13695
-
13696
Data_Sheet_1_Low bone mineral density is associated with gray matter volume decrease in UK Biobank.docx
Published 2023“…We were interested whether BMD is associated with GM volume decrease in brains of a healthy elderly population from the UK Biobank.…”
-
13697
-
13698
-
13699
-
13700