Data for Figs 3–9. by Xiaogang Li (299205)

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The solid material attributes. by Xiaogang Li (299205)

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Sound absorption spectrum calculated by TMM (dots) and FEM (solid lines). by Xiaogang Li (299205)

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Fig 6 - by Xiaogang Li (299205)

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Simulation sample. by Xiaogang Li (299205)

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Fig 7 - by Xiaogang Li (299205)

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The normalized acoustic resistance (blue lines) and reactance (red dotted lines) of the optimization case in Fig 7. by Xiaogang Li (299205)

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Cross section of the metagrating and the distribution of effective homogeneous layers. by Xiaogang Li (299205)

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The real GWAS data for the seven common complex diseases. by Liyan Sun (760586)

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MD5 signature for a whole file by Paul A. Gagniuc (1818325)

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Generation of a Position Weight Matrix (PWM) from a set of infected PE files by Paul A. Gagniuc (1818325)

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

“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”

A frame from the final video containing human-hearable audio track showing grooming behavior and FM USV call at frame #50. by Piotr Popik (292215)

<b>Program Code and Data Integration Scheme</b>.docx by Jinsong XU (21768554)

“…<p dir="ltr">To address inefficiencies and trust deficits in cross-border credit recognition for Sino-Foreign Cooperative Education (SFCE), this study <a href="" target="_blank">designed and implemented a dual-layer blockchain credit bank (BCB) system</a>,A hybrid architecture integrated a public chain (<i>Polygon zkEVM</i>) for transparent credential hashing and a private consortium chain (<i>Hyperledger Fabric</i>) for GDPR-compliant raw data storage.Conduct simulation experiments for the algorithm described in the paper, including the main program code.…”

Model’s measure methods. by Songsong Wang (8088293)

“…The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…”

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.…”

Summary of Experimental Setup, which presents the hardware configuration, model training parameters, and key settings for the path planning algorithm. by Yan Chen (4308)

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MD5 signatures from specific regions from a set of files by Paul A. Gagniuc (1818325)

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(A) Noisy, tracked contour of a larva in gray and regularized contour in orange. by Alexandre Blanc (2412262)

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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