Data and code. by Hao Cao (2248066)

GA pseudo-code. by Jianpeng Zhang (528185)

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

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

Implementation code and computational results.  by Xunqian Xu (21261899)

Code and data. by Crispin H. V. Cooper (21484906)

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The source code includes training/validation scripts, pre-trained model weights, configuration files, and data processing tools. by Ju Liang (4277062)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

Evolutionary analysis of the <i>Strumpellin</i> coding sequences by Maximum Likelihood method. by Yusr Saadi-Ben Aoun (20469385)

“…Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Tamura 3 parameter model, and then selecting the topology with superior log likelihood value. …”

Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

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Entry Point byte frequency by Paul A. Gagniuc (1818325)

Subjects: “…Data structures and algorithms…”

Overview of archaic SNPs (aSNPs) potentially affecting G4 formation, identified by G4SNVHunter. by Rongxin Zhang (1618159)

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Overview of the proposed improvements to the YOLO11 model. by Beigeng Zhao (21637197)

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Code. by Wenyuan Xu (2553028)

Data&Code by anonymous author (20478659)

Data&Codes.rar by anonymous author (20478659)

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

Subjects: “…Data structures and algorithms…”

Illustrative diagram of the algorithm selection, training dataset building and training/testing process. by Leonardo Costa Ribeiro (10439243)

Convergence curves for the applied algorithms. by Eslam Hamouda (5172083)

Code snippet from “Netty/Buffer” Maven artefact. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”