Functional enrichment analysis. by Junjie Su (368807)

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Pt Cluster Catalysts and Alkane to Aromatic Conversion Evaluated Using a Combination of Swarm Intelligence and Density Functional Theory by Michael T. Davenport (7826936)

“…Here, we report density functional theory (DFT) calculations combined with a swarm intelligence algorithm to determine Pt positioning and interaction with the zeolite framework and detailed comparison of reaction pathways. …”

Parameters of the genetic algorithm. by Jian Ma (170138)

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

The results of LASSO regression algorithm. by Xue Fu (549661)

Reward curve of DE-MADDPG algorithm in circular shaft-hole and square shaft-hole assembly. by Guohua Cao (697580)

Comparison of experimental results of information entropy using different methods. by Cheng-jie Chen (22272090)

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Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

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Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

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Block diagram of the proposed algorithm for online estimation of non-stationary moving average processes. by Martin Dodek (20623832)

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

Assessing the overall accuracy of the solutions obtained by the algorithms. by Nasiru Salihu (14803855)

The algorithm is designed to identify patterns in the treatment dataset. by Belén Otero-Carrasco (21262360)

“…<p>This process involves two key functions. First, from lines 1 to 8, the algorithm identifies amino acids that meet the occurrence threshold, starting with patterns of length 1. …”

List of Abbreviations by Gursimran Singh (575288)

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Custom UNET architecture used in the training process for the encoder, decoder, filters, and activation functions. by Sai Balakavi (21728626)

Values of the objective function and its non-normalized terms , obtained by using different weights in the optimization process. by Roberto Castro-Medina (21484990)

The empirical distribution function and fitted distribution functions for data sets <i>Q</i> and <i>T</i>. by Salem A. Alyami (10572611)

Performance of different algorithms across various regression metrics and datasets. by Shikun Chen (14625352)

Flowchart of proposed algorithm. by Tibebu Legesse (21030014)

“…In such networks, nodes depend on non-rechargeable batteries, and once the energy is depleted, the nodes can no longer function, resulting in frequent link failures and reduced network lifetime. …”

Operation curve comparison among the EITO algorithms. by Yunhu Huang (21402795)

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