Flowchart of software workflow. حسب Gavrielle R. Untracht (11820311)

Summary of steps in iterative point set registration for scRNA-seq data. حسب Amir Alavi (9569337)

Steps in the extraction of 14 coordinates from the CT slices for the curved MPR. حسب Linus Woitke (22783534)

"…Protruding paths are then eliminated using graph-based optimization algorithms, as demonstrated in f). …"

Models and Dataset حسب M RN (9866504)

"…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …"

Data_Sheet_1_Dried shiitake mushroom grade recognition using D-VGG network and machine vision.docx حسب Li Wang (15202)

"…In addition, a residual module and batch normalization are introduced to enhance the learning effect of texture details, accelerate the convergence of the model, and improve the stability of the training process. …"

Supplementary Material 8 حسب Nishitha R Kumar (19750617)

"…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…"

Flow diagram of the automatic animal detection and background reconstruction. حسب David Tadres (9120564)

"…(E) The threshold value is calculated based on the histogram: it is the mean of the image subtracted by 4 (optimal value defined by trial and error). …"

<b>A Single-cell Transcriptomic Sequencing Dataset of Early Female and Male Chicken (</b><b><i>Gallus gallus</i></b><b>) Embryos</b> حسب Zhi Cao (20682218)

"…To correct for potential batch effects, the Harmony algorithm was applied. …"

Environmental DNA metabarcoding to monitor tropical reef fishes in Santa Marta حسب camille albouy (3800893)

"…For example, with our selected threshold of 0.001, if a sequence has a total read count of 10,000 at the P1_A1 plate position of the library A, all detections of this sequence below 10 reads (10’000 * 0.001 = 10) are discarded at the plate position P1_A1 for the library B if library A and B belong to the same sequencing batch.</p><p><b>Swarm clustering: </b>We applied a second bioinformatics workflow, the clustering algorithm SWARM, which uses sequence similarity and abundance patterns to cluster multiple variants of sequences into MOTU (Molecular Operational Taxonomic Units; Mahé et al., 2014; Rognes et al., 2016). …"

Datasheet1_A Workflow for Rapid Unbiased Quantification of Fibrillar Feature Alignment in Biological Images.zip حسب Stefania Marcotti (5896853)

"…Implementation is made available in both MATLAB and Python for wider accessibility, with example datasets for single images and batch processing. Additionally, we include an approach to automatically search parameters for optimum window and neighborhood sizes, as well as to measure the decay in alignment over progressively increasing length scales.…"

Aluminum alloy industrial materials defect حسب Ying Han (20349093)

"…</p><p dir="ltr">The settings for other parameters are as follows. epochs: 200，patience: 50，batch: 16，imgsz: 640，pretrained: true，optimizer: SGD，close_mosaic: 10，iou: 0.7，momentum: 0.937，weight_decay: 0.0005，box: 7.5，cls: 0.5，dfl: 1.5，pose: 12.0，kobj: 1.0，save_dir: runs/train</p><p dir="ltr">The <b>defeat_dataset.…"

Code حسب Baoqiang Chen (21099509)

"…After the convolution and pooling operations, batch normalization is applied to stabilize and accelerate the training process.…"

Core data حسب Baoqiang Chen (21099509)

"…After the convolution and pooling operations, batch normalization is applied to stabilize and accelerate the training process.…"

Impact of Q on cost analysis diagram. حسب Guanghui Chen (316677)

"…Finally, an empirical example was facilitated by examining real shared bikes stations in the Yanta district of Xi’an, China, to verify the effectiveness of the model and algorithm. …"

Stations spatial distribution diagram. حسب Guanghui Chen (316677)

"…Finally, an empirical example was facilitated by examining real shared bikes stations in the Yanta district of Xi’an, China, to verify the effectiveness of the model and algorithm. …"

shared bikes distribution vehicle routes diagram. حسب Guanghui Chen (316677)

"…Finally, an empirical example was facilitated by examining real shared bikes stations in the Yanta district of Xi’an, China, to verify the effectiveness of the model and algorithm. …"

Stations location and demand. حسب Guanghui Chen (316677)

"…Finally, an empirical example was facilitated by examining real shared bikes stations in the Yanta district of Xi’an, China, to verify the effectiveness of the model and algorithm. …"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr">Encoding: Categorical variables such as surface coating and cell type were grouped into logical classes and label-encoded to enable model compatibility.</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"

Table3_Identifying In Vitro Cultured Human Hepatocytes Markers with Machine Learning Methods Based on Single-Cell RNA-Seq Data.XLSX حسب ZhanDong Li (11653330)

"…Then, several classifiers were trained and evaluated to obtain optimal classifiers and optimal feature subsets, using three classification algorithms (random forest, k-nearest neighbor, and decision tree) and the incremental feature selection method. …"

Table4_Identifying In Vitro Cultured Human Hepatocytes Markers with Machine Learning Methods Based on Single-Cell RNA-Seq Data.XLSX حسب ZhanDong Li (11653330)

"…Then, several classifiers were trained and evaluated to obtain optimal classifiers and optimal feature subsets, using three classification algorithms (random forest, k-nearest neighbor, and decision tree) and the incremental feature selection method. …"