Malware detection workflow in compressed archives by Paul A. Gagniuc (1818325)

Subjects: “…Data structures and algorithms…”

Classical Predictive Coding for motion processing. by Elnaz Nemati (21402730)

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Traffic sign detection results of TT100K. by Qian Shen (89639)

Subjects: “…existing mainstream algorithms…”

The gene network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

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The SNP network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

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Transition from static to dynamic malware detection by Paul A. Gagniuc (1818325)

Subjects: “…Data structures and algorithms…”

The genetic algorithm. by Viktoria Zemliak (19500335)

Proportion of positive results in each algorithm and latent prevalences by age (a) and comorbidity (b) groups. by Jia Wei (120974)

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Trace plots of estimated prevalence, sensitivity, and specificity of each algorithm of Model-3 in the primary analysis. by Jia Wei (120974)

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Pseudo-code for the study design model. by Jianpeng Zhang (528185)

Performance comparison of mainstream algorithms. by Junjie Lu (160350)

“…To address this issue, this paper proposes FCMI-YOLO, a real-time fire detection algorithm optimized for edge devices. Firstly, the FasterNext module is proposed to reduce computational cost and enhance detection precision through lightweight design. …”

Observed and predicted frequency of each algorithm combination of community-acquired pneumonia (CAP) in Model-3 in the primary analysis. by Jia Wei (120974)

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Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Posterior predicted sensitivity, specificity, PPV, NPV for each algorithm combination under the ‘AND’ rule and ‘OR’ rule in Model-3 in the primary analysis. by Jia Wei (120974)

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Part of gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Data and code for: Automatic fish scale analysis by Christian Vogelmann (21646472)

“…<p dir="ltr">This dataset accompanies the publication:<br><b>"Automatic fish scale analysis: age determination, annuli and circuli detection, length and weight back-calculation of coregonid scales"</b><br></p><p dir="ltr">It provides all essential data and statistical outputs used for the <b>verification and validation</b> of the <i>Coregon Analyzer</i> – a Python-based algorithm for automated biometric fish scale measurement.…”

Posterior predicted sensitivity, specificity, PPV, NPV for each algorithm combination under the ‘AND’ rule (a) and ‘OR’ rule (b) in Model-3 in the primary analysis. by Jia Wei (120974)

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Parameter values of the compared algorithms. by Huimin Lu (4434682)

“…Finally, we proposed an escape Coati Optimization Algorithm (eCOA) for global optimization to enhance classification performance. …”