Preprocessing steps. by André G. Coimbra (21354135)

Result of experiment with each model in case of hotspot series preprocessed dataset. by Tri Ngo Quang (20390189)

The data preprocessing and modeling pipeline for CPI forecasting. by Injae Seo (21354189)

Preprocessing steps performed to build the final dataset. by Anna Beatriz Silva (20989245)

Preprocessing strategy analysis. by Ana María Triana (19819446)

“…<p>We inspected how our preprocessing choices affected the BOLD signal by comparing the images before and after denoising. …”

Flow diagram for data preprocessing stages. by Shuvo Biswas (21728782)

“…We tested the presented framework on two well-known datasets, ISBI2016 and ISBI2017. The data was first preprocessed by several techniques: resizing, normalization, balancing, and augmentation. …”

Schematic representation of data preprocessing of FSB samples included for analyses of anti-PGL-I values of contacts. by Louise Pierneef (8977451)

Schematic representation of data preprocessing of FSB samples included in the analysis of anti-PGL-I values of leprosy patients. by Louise Pierneef (8977451)

Preprocessed input data files CC, T&S optimisation model by Flore Verbist (22138018)

Case Study for Signal Preprocessing for Enhanced Bluetooth Device Identification Using RF Fingerprints and SVM by Rene Francisco Santana-Cruz (21554414)

Supplementary material for the paper "Demonstration the importance of pre-processing the text fields of bibliometric records to identify promising research tasks. Case study of Sco... by Boris Chigarev (6474086)

Inquiry into the Appropriate Data Preprocessing of Electrochemical Impedance Spectroscopy for Machine Learning by Jingwen Sun (116284)

“…With the recent advent and burgeoning deployment of machine learning (ML) in EIS analysis, a critical yet hitherto unanswered question emerges: what is the appropriate manner to preprocess the EIS data for ML-based analysis? While the preprocessing of a model’s input data is known to be critical for a successful deployment of the ML model, EIS is known to possess multiple classical venues of data representation, and moreover, a proper data normalization protocol for comparative EIS studies remains elusive. …”

The workflow diagram – Workflow of data acquisition, preprocessing, latent class analysis, and machine-learning evaluation for classifying complex multimorbidity. by Moumita Mukherjee (2325979)

Table 1_TCGADownloadHelper: simplifying TCGA data extraction and preprocessing.pdf by Alexandra Anke Baumann (21232466)

“…We use the Sample Sheet provided by the GDC portal to replace the default 36-character opaque file IDs and filenames with human-readable case IDs. We developed a pipeline integrating customizable Python scripts in a Jupyter Notebook and a Snakemake pipeline for ID mapping along with automating data preprocessing tasks (https://github.com/alex-baumann-ur/TCGADownloadHelper). …”

ROC curve on test data. by Tayyaba Farhat (21162003)

“…This study proposed a deep ensemble model leveraging the strengths of VGG16 and Xception net trained on Facial Images for ASD detection overcoming limitations in existing datasets through extensive preprocessing. Proposed model preprocessed the training dataset of facial images by converting side posed images into frontal face images, using Histogram Equalization (HE) to enhance colors, data augmentation techniques application, and using the Hue Saturation Value (HSV) color model. …”

Confusion matrix on validation data. by Tayyaba Farhat (21162003)

“…This study proposed a deep ensemble model leveraging the strengths of VGG16 and Xception net trained on Facial Images for ASD detection overcoming limitations in existing datasets through extensive preprocessing. Proposed model preprocessed the training dataset of facial images by converting side posed images into frontal face images, using Histogram Equalization (HE) to enhance colors, data augmentation techniques application, and using the Hue Saturation Value (HSV) color model. …”

Gantt chart corresponding to the best feasible solution of RealCase2 in the no-wait HFS scenario. by Xiang Tian (4369285)

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Gantt chart corresponding to the best feasible solution of RealCase2 in the standard HFS scenario. by Xiang Tian (4369285)

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Data preprocessing pipeline for input into machine learning model to predict hospitalization or urosepsis after outpatient presentation for urinary tract infection (UTI). by Varuni Sarwal (6291391)

Data types contained in and . by Xiang Tian (4369285)

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