Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement - Fig 3 by Antoine Falisse (6061601)

Subjects:

Change and distribution of nonlinear excitation function based on CNN. by Biyun Zhang (10269581)

<b>Fig. 3 | Performance analysis of microrobot navigation in various environments using reinforcement learning algorithms.</b> by Mahmoud Medany (20766911)

“…<b>e.</b> Impact of different reward functions on the rate of target achievement. …”

Proposed decision tree algorithm for thromboelastometry parameters to differentiate COVID-19 patients according to disease severity. by Rodrigo B. Aires (11949690)

Effect of “nonfunctional group” on function. by Yuanchen Zhao (12905580)

Subjects:

Pseudocode of the RPath algorithm. by Daniel Domingo-Fernández (5432273)

“…., <i>lmax)</i>, the core function of the algorithm, <i>is_drug_prioritized</i>, returns whether a drug should be prioritized or not. …”

Brief sketch of the quasi-attraction/alignment algorithm. by Takayuki Niizato (162226)

“…The focal agent selects its next direction randomly based on . (D) A brief sketch of the avoidance algorithm. …”

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…One can expect that the combination of multi-dimensional parameters from evolutionary biology, cell biology and molecular biology on evolutionary diverse species will significantly improve the next generation of machine leaning algorithms that serve localisation (and function) predictions.…”

Comparison of different optimization algorithms. by Hang Zhao (143592)

Boxplot of PLNMFG and other eight state-of-the-art algorithms measured by (a) ACC and (b) AMI on six real datasets. by Hui Yuan (402180)

Distribution of cross correlations in functional connectivity in ABIDE sample. by Alexandria M. Jensen (6494957)

Subjects:

Empirical cumulative distribution functions for DMCs. by Koyel Majumdar (20416871)

Loss function curve graphs. by Huiying Zhang (200681)

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf by Dimitrios Menychtas (16935831)

<b>The Application of the Optimized Genetic Algorithm in SerDes Circuit Design</b> by Xuan Wei (18564826)

“…Finally, the Clock and Data Recovery (CDR) circuit in SerDes is analyzed and designed. The CDR structure based on phase selector/phase interpolator type is used as the CDR circuit of the high-speed serial interface so that the final circuit function and performance meet the requirements. …”

Line chart plotted using the k-value selection algorithm: (A) system 1; (B) system 2; (C) system 3. by Jingnan Yan (20727331)

Subjects:

Great machine learning performance with multiple classification algorithms. by Sydney C. Weiser (15383531)

The number of inactive nodes as a function of time steps in (a) a random network and (b) a scale-free network. by Waseem Al-Aqqad (14123917)

Demonstration of algorithm design and operationalization. by Tobias S. Brett (5353364)

“…Half were emerging (<i>R</i>₀ had an increasing trend with endpoint <i>R</i>₀ = 1), and half were not (no overall trend). (b) For each parameter set, a stochastic simulation algorithm was used to produce a time series of weekly case reports, subject to observation error. …”