Flowchart of whale flock optimization algorithm. by Rongxin Gong (18864603)

“…<i>camphora</i> growth was established using the multiple linear regression (MLR), partial least squares (PLS), support vector regression (SVR), random forest (RF), radial basis function neural network (RBFNN), back propagation neural network (BPNN), and whale optimization algorithm (WOA)-optimized BPNN models. …”

Network architectures for single-agent task. by Hongjie Zhang (136127)

Schematic diagram of single-point crossing. by Jian Kong (164512)

Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

“…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …”

Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

“…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …”

Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

“…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …”

Model selection for each clustering algorithm considered. by Luan Carlos de Sena Monteiro Ozelim (16914117)

Subjects:

The skip ratio curves of <i>LazyAct</i> with different <i>ϵ</i> in single-agent tasks. by Hongjie Zhang (136127)

The alpha(<i>α</i>) curves of <i>LazyAct</i> with different <i>ϵ</i> in single-agent tasks. by Hongjie Zhang (136127)

Linear-Scaling Local Natural Orbital CCSD(T) Approach for Open-Shell Systems: Algorithms, Benchmarks, and Large-Scale Applications by P. Bernát Szabó (10526316)

Overview of GraphFP algorithm. by Qi Jiang (33521)

Radial dendrogram obtained from DBHT algorithm with Pearson correlation distance and generalization error similarity. by Luan Carlos de Sena Monteiro Ozelim (16914117)

Subjects:

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

“…This work reports efforts to significantly improve a recent approach to local MP2 that is based on a single numerical threshold to control accuracy versus compute cost, and the use of localized orthogonal orbitals for both occupied and virtual spaces. …”

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

“…This work reports efforts to significantly improve a recent approach to local MP2 that is based on a single numerical threshold to control accuracy versus compute cost, and the use of localized orthogonal orbitals for both occupied and virtual spaces. …”

Radial dendrogram obtained from DBHT algorithm with Spearman’s <i>ρ</i> correlation distance and generalization error similarity. by Luan Carlos de Sena Monteiro Ozelim (16914117)

Subjects:

Radial dendrogram obtained from DBHT algorithm with Kendall’ <i>τ</i> correlation distance and generalization error similarity. by Luan Carlos de Sena Monteiro Ozelim (16914117)

Subjects:

Optimal feature set. by Chengxin Yin (17283226)

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

“…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”

Visualization on SMAC-25m based on <i>LazyAct</i>. by Hongjie Zhang (136127)

“…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …”

Single-Shot Capillary Zone Electrophoresis–Tandem Mass Spectrometry Produces over 4400 Phosphopeptide Identifications from a 220 ng Sample by Zhenbin Zhang (1444888)

“…Larger injection volumes resulted in serious peak broadening and decreased numbers of phosphopeptide identifications. The optimized system identified 4405 phosphopeptides from 220 ng of enriched phosphopeptides from mouse brain, which represents the state-of-the-art result for single-shot CZE–ESI–MS/MS-based phosphoproteome analysis. …”