Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data by Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong, Kumaran Kadirgama, Foo Benedict, Tan Jian Ding, Kharudin Ali, Azher M. Abed

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Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach by Md Atiqur Rahman, Mohammad Badrul Alam Miah, Md. Abir Hossain, A. S. M. Sanwar Hosen

“…All images underwent extensive preprocessing, including grayscale conversion, noise removal, and contrast-limited-adaptive-histogram equalization (CLAHE). …”
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A Spatiotemporal U-Net-Based Data Preprocessing Pipeline for Sun-Synchronous Path Planning in Lunar South Polar Exploration by Yang Chen, Guangfei Wei, Hao Zhang, Jianfeng Lu, Fuchuan Pang

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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

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Optimizing Social Security Contributions for Spanish Self-Employed Workers: Combining Data Preprocessing and Ensemble Models for Accurate Revenue Estimation by Luis Palomero, Vicente García, José Salvador Sánchez

“…After testing experimentally various alternatives, a promising strategy involves employing a median-based Ensemble on preprocessed data. Although this Ensemble-based approach significantly reduces forecasting errors, the improvements are diluted when the predictions are combined with the offset-adjustment process.…”
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Comparison of Image Preprocessing Strategies for Convolutional Neural Network-Based Growth Stage Classification of Butterhead Lettuce in Industrial Plant Factories by Jung-Sun Gloria Kim, Soo Chung, Myungjin Ko, Jihoon Song, Soo Hyun Shin

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Brain Networks Imaging in Concurrent TMS-fMRI Research: Innovative fMRI Coil Setup and Data Preprocessing Solutions by Emilio Chiappini, Yiwu Xiong, Lorena Melo, Kuri Takahashi, Maximilian Lueckel, Til Ole Bergmann, Michael A. Nitsche, Michael Burke, Erhan Genç

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Pengaruh Tahapan Preprocessing Terhadap Model Indobert Dan Indobertweet Untuk Mendeteksi Emosi Pada Komentar Akun Berita Instagram by Ulfia Khairani, Viska Mutiawani, Hendri Ahmadian

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Rapid <i>Salmonella</i> Serovar Classification Using AI-Enabled Hyperspectral Microscopy with Enhanced Data Preprocessing and Multimodal Fusion by MeiLi Papa, Siddhartha Bhattacharya, Bosoon Park, Jiyoon Yi

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Identification of Priority Areas for the Control of Soil Erosion and the Influence of Terrain Factors Using RUSLE and GIS in the Caeté River Basin, Brazilian Amazon by Alessandra dos Santos Santos, João Fernandes da Silva Júnior, Lívia da Silva Santos, Rômulo José Alencar Sobrinho, Eduarda Cavalcante Amorim, Gabriel Siqueira Tavares Fernandes, Elania Freire da Silva, Thieres George Freire da Silva, João L. M. P. de Lima, Alexandre Maniçoba da Rosa Ferraz Jardim

Subjects: “…geoprocessing…”
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Determinação da fragilidade ambiental utilizando técnicas de suporte à decisão e SIG Environmental fragility determination using decision support techniques and GIS by Annelissa G. Donha, Luiz C. de P. Souza, Maria L. Sugamosto

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Capacity and current use of the Formoso river watershed, bonito municipality, Mato Grosso do Sul, Brazil: conflicts and land use recommendations by Rafael Brugnolli Medeiros, Charlei Aparecido Silva da

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Dynamic Localized SNV, Peak SNV, and Partial Peak SNV: Novel Standardization Methods for Preprocessing of Spectroscopic Data Used in Predictive Modeling by Emily Grisanti, Maria Totska, Stefan Huber, Christina Krick Calderon, Monika Hohmann, Dominic Lingenfelser, Matthias Otto

“…An essential part of multivariate analysis in spectroscopic context is preprocessing. The aim of preprocessing is to remove scattering phenomena or disturbances in the spectra due to measurement geometry in order to improve subsequent predictive models. …”
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Ensemble empirical mode decomposition-based preprocessing method with Multi-LSTM for time series forecasting: a case study for hog prices by Lianlian Fu, Xinsheng Ding, Yuehui Ding

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Enhanced Prediction Performance of Internal Defect Detection in Wind Turbine Blades on Thermography Using Deep Learning Models with Preprocessed Synthetic Data by Haemyung Chon, Daekyun Oh, Jackyou Noh

“…To minimize the domain gap between synthetic and real thermographic data, preprocessing with a transformation module was employed, enhancing the similarity between datasets. …”
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Erosion vulnerability and risk on Amazon estuarine beaches (Marajó Island, Brazil) by Maria Bárbara Pereira de Sousa, Lohan Barbosa Baía, José Eduardo Martinelli Filho, Andrew Cooper, Leilanhe Almeida Ranieri

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METHODS OF DEFINING THE ANTHROPOGENIC TRANSFORMATION OF THE ENVIRONMENT by Vitaliy Berezhnoy

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Análise da degradação de terras na bacia hidrográfica do rio Lifidzi no Planalto de Angónia, província de Tete – Moçambique by Sabil Damião Mandala, Isidro Alexandre Simão, Laurinda Milagre Macamo, Ali José Santos Caetano, Eza Bento Uiliamo, Edna Aminosse Massuanganhe

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Multi-Criteria Analysis for Geospatialization of Potential Areas for Water Reuse in Irrigated Agriculture in Hydrographic Regions by Ana Paula Pereira Carvalho, Ana Claudia Pereira Carvalho, Mirian Yasmine Krauspenhar Niz, Fabrício Rossi, Giovana Tommaso, Tamara Maria Gomes

Subjects: “…geoprocessing…”
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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

Subjects: “…EEG signal processing…”
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