Fig 6 - حسب Xiaogang Li (299205)

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Simulation sample. حسب Xiaogang Li (299205)

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Fig 7 - حسب 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. حسب Xiaogang Li (299205)

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

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Test data for Map 3. حسب Qingling Zhang (758713)

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Test data for Map 1. حسب Qingling Zhang (758713)

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Test data for Map 2. حسب Qingling Zhang (758713)

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Test data for Map 4. حسب Qingling Zhang (758713)

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Test data for Map 5. حسب Qingling Zhang (758713)

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

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

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

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A framework for improving localisation prediction algorithms. حسب 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. …"

The convergence curve of each optimization algorithm under the test function. حسب Hao Yang (328526)

<b>Program Code and Data Integration Scheme</b>.docx حسب 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.…"

Signal strength of adverse events that are unexpected findings of Relugolix (Orgovyx^®)-related adverse events at the preferred term (PT) level. حسب Ruibo Li (2063167)

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. حسب 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.…"

Raw data classification data table (in cm). حسب Jihong Sun (344786)

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Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring حسب Alison Gerken (17362585)

"…By utilizing this species profiling, the ViT model achieved an accuracy rate of over 99.34% during training and 96.57% during testing. These findings highlight the model’s ability to generalize and maintain precision with new unseen data surpassing traditional computer vision algorithms significantly. …"