EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

Ground-truth annotations and detection results visualization of representative images from the SeaDronesSee dataset captured at different altitudes. by Beigeng Zhao (21637197)

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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)

Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. by Daniel Suárez-Barrera (22676654)

The SeaDronesSee dataset contains real-world drone-captured images of maritime search and rescue scenarios, presenting unique challenges for object detection. by Beigeng Zhao (21637197)

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Image 1_Plagiarism types and detection methods: a systematic survey of algorithms in text analysis.jpeg by Altynbek Amirzhanov (20887919)

“…We highlight notable works focusing on cross-language plagiarism detection, source code plagiarism, and intrinsic detection techniques, identifying their contributions and limitations. …”

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

Subjects: “…Data structures and algorithms…”

Positive predictive value (PPV, %) by survival time following first seizure code. by André Idegård (22041446)

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

“…We publish both data and analysis code as supplementary material.</p></div>…”

Antivirus Engines (PowerPoint) by Paul A. Gagniuc (1818325)

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

Positive predictive values (PPVs) of the register-based algorithms to identify individuals with poststroke epilepsy (PSE). All algorithms required (i) a diagnostic code for stroke... by André Idegård (22041446)

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Design of HRM PCR primers targeting the <i>Strumpellin</i> protein coding sequence. by Yusr Saadi-Ben Aoun (20469385)

Training results under different parameters. by Yang Zhang (30734)

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IoU measures the overlap between predicted bounding boxes and ground truth boxes. by Yang Zhang (30734)

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The patchwise contrastive learning method based on PatchNCE loss. by Yang Zhang (30734)

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The network framework of the proposed model. by Yang Zhang (30734)

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The confusion matrix of our model in the hazed COCO2017 dataset. by Yang Zhang (30734)

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The efficient multi-scale attention. by Yang Zhang (30734)

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The improved network diagram of YOLOv9s. by Yang Zhang (30734)

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