Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm cell » algorithm cl (Expand Search), algorithm could (Expand Search), algorithms real (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm cell » algorithm cl (Expand Search), algorithm could (Expand Search), algorithms real (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
-
141
-
142
-
143
-
144
-
145
Hyperparameter settings of the algorithm 1.
Published 2024“…Therefore, this paper presents a novel adaptive control structure for the Twin Delayed Deep Deterministic Policy Gradient algorithm, which is based on a reference trajectory model (TD3-RTM). …”
-
146
-
147
-
148
-
149
-
150
-
151
DataSheet1_Distributed algorithm without iterations for an integrated energy system.PDF
Published 2023“…(we assume the relationship between the operating cost and the energy flow of each device as the convex cost functions.) …”
-
152
-
153
-
154
Image2_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF
Published 2022“…<p>Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.…”
-
155
Table1_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.DOCX
Published 2022“…<p>Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.…”
-
156
Image4_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF
Published 2022“…<p>Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.…”
-
157
Image1_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF
Published 2022“…<p>Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.…”
-
158
Image3_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF
Published 2022“…<p>Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.…”
-
159
Efficient algorithms to discover alterations with complementary functional association in cancer
Published 2019“…In addition, our algorithms are much faster than the state-of-the-art, allowing the analysis of large datasets of thousands of target profiles from cancer cell lines. …”
-
160