Table 5_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx by Anjan Kumar Pradhan (9386369)

“…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …”

Envelope of the colored noise signal <i>ϵ</i>_(<i>k</i>) from recording <i>2–81731-A-10.wav</i> as a function of sample number <i>k</i>. by Martin Dodek (20623832)

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Scatter plots of PATH⁺ and our implementation of TNet-BP’s predictions on a held-out, test subset of PDBBind v2020 refined set for one run (90:10 train:test split ratio,... by Yuxi Long (11024307)

Strong negative correlation between the precision of algorithms and the evolutionary distance from the training data. by Sven B. Gould (12237287)

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

Surface Effect of Small Nanocrystals on the Accuracy of Structural Parameters Obtained by Pair Distribution Function Analysis by Merdan Batyrow (20808619)

“…The effect of the nanocrystal surface on the accuracy of average lattice parameters, crystal sizes, and mean square atom displacements (MSDs) obtained from pair distribution function (PDF) analysis of powder X-ray diffraction is investigated. …”

Reflection matrix microscopy data and CLASS algorithms by Sungsam Kang (18931031)

“…Compile this file if mex function do not work properly using following command: ‘mex -R2018a indexing_array_mt.cpp’</li><li>CLASS.m: The CLASS function that quantifies and corrects input and output aberrations from RM.…”

Top 15 hub genes in five algorithms. by Tianqi Liu (1625776)

EITO_<i>P</i> with a variable trip time. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Data is generated from ARMA (p, q) models with (p, q) , and the corresponding AIC table is created. by Jesse Wheeler (18462457)

The moving process of two UAVs in the first scenario is presented from a top-view perspective. by Quoc Bao Diep (18452207)

Heatmap results from the global sensitivity analysis for the generation of chorionic vessels. by Diana C. de Oliveira (9220729)

Illustration of how (1 + 1)-WEA_v3 improves the target set when solving TSS. by Alexander Andreev (16822333)

Bangdiwala’s agreement charts for item 18 (A), 19 (B) and 22 (C) comparing item scores between the Paper-based support and the Tablet. by Dominique Vincent-Genod (20552594)

Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. by Gursimran Singh (575288)

Subjects:

Robotic Prototype with Human Mimicry Abilities - 104 Algorithms (RPHMA^104a): Toward an Integrative Computational-Robotic Theory of Very Complex Skills by Maicon S. Aliaga Machado (20468810)

“…<p dir="ltr"><b>Abstract</b></p><p dir="ltr">This paper introduces the RPHMS^104a model (Robotic Prototype with Human Mimicry Abilities - 104 Algorithms), a framework for the progressive development of artificial systems capable of emulating human cognitive-behavioral functions. …”

Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes by Vijay Subramanian (20718933)

“…<p dir="ltr">Supplementary material for Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes.…”

Effects of processing rate and algorithms performance on estimates of biodiversity. by Valentine Fleuré (12822137)