Construction of SEMWISE indicator ratings. by Heather L. Deel (20370535)

“…Functional data were used as predictors in eXtreme Gradient Boosting (XGBoost), a powerful machine learning algorithm, and enzymes important to soil health indicators were compiled into a Molecular Index of Soil Health (MISH). …”

SpatialKNifeY analysis landscape. by Shunsuke A. Sakai (13789939)

Assembly task flow. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

DH parameters of BA006N robotic arm. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Shaft hole insertion. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Simplified DDPG process. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Robotic arm axle hole assembly model. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Shaft hole assembly virtual space. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Simplified MDDPG process. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Force/Torque sensor parameters. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Force variations under different contact states. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Test rig for square shaft-hole assembly. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Schematic diagram of multi-agent axis assembly. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Network training hyperparameters. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Simplified DMDDPG process flowchart. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Assembly experiment object of square shaft hole. by Guohua Cao (697580)

“…<div><p>Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. …”

Data Sheet 1_Spectral divergence prioritizes key classes, genes, and pathways shared between substance use disorders and cardiovascular disease.pdf by Everest Castaneda (21758900)

“…Introduction<p>Substance use disorders (SUDs) are heterogeneous diseases with overlapping biological mechanisms and often present with co-occurring disease, such as cardiovascular disease (CVD). …”

Collaborative Research: Elements: Building an open-source DFT+eDMFT database for quantum materials by Subhasish Mandal (19417771)

“…However, most existing materials databases rely heavily on density functional theory (DFT), which often fails to capture the physics of quantum materials governed by strong electron correlations. …”

Data for "A multi-objective platform for autonomous property targeting and optimization of colloidal lead halide perovskite quantum dots" by Neal Munyebvu (19690954)

Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model by Marina Diachenko (19739092)

“…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …”