Occluded face recognition using optimum features based on efficient preprocessing and machine learning by Rajesh H. Khobragade, Dinesh B. Bhoyar, Ajay Paithane, Suresh Kurumbanshi

“…We extracted traditional features based on an efficient preprocessing mechanism and classified them using machine learning over scarce datasets. …”
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Preprocessing-Free Convolutional Neural Network Model for Arrhythmia Classification Using ECG Images by Chotirose Prathom, Ryuhi Fukuda, Yuto Yokoyanagi, Yoshifumi Okada

“…The experimental results demonstrate that the proposed model outperforms existing methods without requiring data preprocessing. The integration of multicycle ECG images and the FL function substantially enhances the model’s ability to capture ECG patterns, particularly for minority classes. …”
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Utilização de P-Index em uma bacia hidrográfica através de técnicas de geoprocessamento Use of P-Index in a waterbasin by geoprocessing techniques by Fabíola Lopes, Gustavo H. Merten, Melissa Franzen, Elvio Giasson, Fernanda Helfer, Luis F. A. Cybis

“…Data related to phosphorus availability, intensity of transport processes, and distance to waterways were combined to yield a map of phosphorus contribution classes, which showed that almost the entire study area was considered to have low phosphorus contribution potential. …”
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Geoprocessamento x modernização da agricultura:estudo de dois distritos no município de Palmeira das Missões(RS) by Roberto Barboza Castanho, Roberto Cassol, Mari Lourdes Bezzi

Subjects: “…Geoprocessing…”
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Potentiality of support technologies for opinion and decision-making as a tool for insertion of the geologist in territorial planning by Pedro Benedito Casagrande, Ana Clara Mourão Moura

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O método AHP e a Álgebra de Mapas para determinar a fragilidade ambiental da bacia hidrográfica do Rio Brilhante (Mato Grosso do Sul / Brasil), proposições para a gestão do territó... by Patricia Silva Ferreira, Charlei Aparecido da Silva

Subjects: “…Geoprocessing; Environmental Models; Planning; Territorial Dynamics.…”
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Transformer-Driven Inverse Learning for AI-Powered Ceramic Material Innovation With Advanced Data Preprocessing by Murad Ali Khan, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do-Hyeun Kim

“…This study proposed a comprehensive analysis of the Transformer-based Inverse Learning model to optimize component and process recommendations. K-Nearest Neighbors (KNN) imputation was first applied, improving data accuracy and completeness to address data gaps. …”
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Comparison of Preprocessing Method Impact on the Detection of Soldering Splashes Using Different YOLOv8 Versions by Peter Klco, Dusan Koniar, Libor Hargas, Marek Paskala

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Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution by Saranya N., Anandakumar Haldorai

“…High dimensional data affect the feature selection methods effectiveness and efficiency. Preprocessing of data to make the dataset as balanced, normalized, and transformed data is done before the feature selection and classification process. …”
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A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing by Sara Auweiler, Melina Mueller, Diana Puhla, Pascal Penava, Ricardo Buettner

“…Building on this, we use Gaussian blurring as an innovative preprocessing technique to improve model accuracy by reducing high-frequency noise and enhancing feature extraction. …”
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Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI by Hang Joon Jo, Stephen J. Gotts, Richard C. Reynolds, Peter A. Bandettini, Alex Martin, Robert W. Cox, Ziad S. Saad

“…More generally, the effect of motion on correlation estimates depends on the preprocessing steps leading to the correlation estimate, with certain approaches performing markedly worse than others. …”
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Comparative Evaluation of Preprocessing Methods for MobileNetV1 and V2 in Waste Classification by Aulia Afifah, Endah Ratna Arumi, Maimunah Maimunah, Setiya Nugroho

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Impact of Image Preprocessing and Crack Type Distribution on YOLOv8-Based Road Crack Detection by Luxin Fan, Saihong Tang, Mohd Khairol Anuar b. Mohd Ariffin, Mohd Idris Shah Ismail, Xinming Wang

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An improved deep learning model for soybean future price prediction with hybrid data preprocessing strategy by Dingya CHEN, Hui LIU, Yanfei LI, Zhu DUAN

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The Effects of Preprocessing Techniques on Nasnetmobile’s Performance for Classifying Knee Osteoarthritis Based on the Kellgren-Lawrence System by Marcell Jeremy Wiradinata, Daniel Martomanggolo Wonohadidjojo

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Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchmark on Large Real-World Datasets by Pedro Martins, Filipe Cardoso, Paulo Váz, José Silva, Maryam Abbasi

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Evaluating Label Encoding and Preprocessing Techniques for Breast Cancer Prediction Using Machine Learning Algorithms by Mukesh Kumar, Vivek Bhardwaj

“…Data scaling and encoding techniques, including StandardScaler and MinMaxScaler, are employed to enhance the accuracy of these machine learning models. Additionally, preprocessing steps, such as Numerical Variable Correlation, Categorical Variables Analysis, Continuous Variables Analysis, Bivariate Analysis, Balancing Classes (oversampling function) are applied to enhance the model’s performance. …”
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Preprocessing Method for Performance Enhancement in CNN-Based STEMI Detection From 12-Lead ECG by Yeonghyeon Park, Il Dong Yun, Si-Hyuck Kang

“…We mostly focus on enhancing the detecting performance using a preprocessing technique. First, we reduce the noise of ECG using a notch filter and high-pass filter. …”
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Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson’s disease classification by Sameer Bhat, Piotr Szczuko

“…The results show that while larger datasets lead to increased model memory footprints and prediction latencies, the Canny edge detection preprocessing supplemented by Hessian filtering (used in $$DS_1$$ and $$DS_3$$ ) degrades the performance of most models. …”
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Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion by Yu He, Li Hongru, Sun Jian, Xu Baohua

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