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Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes
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Airline reviews processing: Abstractive summarization and rating-based sentiment classification using deep transfer learning
Published 2024-11-01“…The rapid and ceaseless increase in big data of reviews on e-commerce platforms, social media, or review portals becomes a stimulus for the automation of these processes. …”
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Machine-Learning-Driven Identification of Electrical Phases in Low-Sampling-Rate Consumer Data
Published 2024-12-01“…Accurate electrical phase identification (PI) is essential for efficient grid management, yet existing research predominantly focuses on high-frequency smart meter data, not adequately addressing phase identification with low sampling rates using energy consumption data. …”
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Approach to implant monitoring and data processing with digital implant lifecycle management
Published 2025-04-01“…The proposed digital implant lifecycle management concept records and processes data throughout the implant’s lifecycle, from design and manufacturing to use and disposal. …”
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The Association of Oral Processing and Salivary Flow Rate on Food Intake and Appetite in Older Adults (Aged ≥ 65 Years)
Published 2024-02-01“…Individuals with a faster eating rate consumed more food and these differences were associated with differences in subjective satiety ratings, postprandial blood glucose and stimulated saliva flow. …”
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Real-time analysis of Delphi panel data to facilitate iterative rating within meetings
Published 2025-07-01“…Abstract Objective The Modified Delphi panel process involves iterative ratings, often with lengthy lags between rounds to allow time for data analysis. …”
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Automatic Estimation Method for Intersection Saturation Flow Rate Based on Video Detector Data
Published 2018-01-01“…The overall estimation process is displayed and the impacts of quantile selection and data duration on the estimation accuracy are analyzed.…”
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Recognition and Application of Wear Detection BTA Deep Hole Drilling
Published 2018-10-01“…First,getting a clear image of the wear area through the tool wear image preprocessing which include image gray,filter denoising and threshold segmentation; Then the tool wear was obtained by using the minimum external rectangle method in the preprocessed image,and the effect of the wear rate on the processing aperture was analyzed; The above detection method is used to test the BTA deep hole drilling, which provides data support for improving the service life of the tool.…”
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An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems
Published 2025-01-01“…Static machine learning and rule-based traditional detection methods cannot capture all the dynamic and evolving nature of fraudulent behaviors, resulting in lower detection accuracy and a higher false positive rate. This study proposes a complete framework that brings together advanced data preprocessing, effective drift detection, and a reliable detection model to address these issues. …”
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Forecasting the progression of Alzheimer's disease using neural networks and a novel preprocessing algorithm
Published 2019-01-01“…Machine learning models were trained on these processed data and evaluated using a separate testing data set (110 patients). …”
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Optimization mechanism for network-coding based on rate-match
Published 2013-11-01“…And the dynamic adjustment on rate match process was achieved by the probability detection of the decoding delay of data gener-ation that reflects data decoding state in destination nodes. …”
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Rapid Nondestructive Detection of Welsh Onion, Onion, and Chinese Chives Seeds Based on Hyperspectral Imaging Technology
Published 2025-04-01“…In this study, hyperspectral imaging technology was combined with a variety of data preprocessing and classification models to achieve rapid and nondestructive classification of Welsh onion, onion, and Chinese chives seeds. …”
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THE EFFECT OF PROCESS ORIENTED GUIDED INQUIRY LEARNING (POGIL) MODEL ON SCIENCE PROCESS SKILLS (SPS) AND STUDENTS' COGNITIVE ABILITIES ON THE CONCEPT OF REACTION RATE
Published 2021-06-01“…The hypothesis was tested by using Paired Sample t-Test at a significance level of 0.05. Based on the data analysis and hypothesis testing carried out, there was a significant difference in the effect of the POGIL model on Science Process Skills (SPS), cognitive abilities and significant interactions between SPS and students' cognitive abilities on the material reaction rate, indicated by the value of each probability or sig. 0,000, so it can be concluded that the results of testing the hypothesis reject Ho or accept Ha at the 5 percent alpha level.…”
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Problems of western discount rate calculation models application in the process of Russian companies business valuation
Published 2020-07-01“…Discount rate calculation is one of the most important stages of valuation process. …”
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Modeling of Must Fermentation Processes for Enabling CO<sub>2</sub> Rate-Based Control
Published 2025-05-01“…Models for must fermentation kinetics are investigated and used in simulations for enabling control strategies based on temperature adjustment during the alcoholic fermentation process using the estimated CO<sub>2</sub> rate. An acoustic emission digital processing approach for estimating the CO<sub>2</sub> rate in the must fermentation process is proposed and investigated. …”
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Modeling the Process of Obtaining Liquid Pyrolysis Products of Plant Biomass Taking into Account the Rate of their Cooling
Published 2022-08-01“…The article presents the results of computational and experimental studies of thermochemical conversion of wood biomass to obtain liquid pyrolysis products taking into account their cooling rate. The method of calculating the optimal operating parameters (temperature and cooling rate) of the techno-logical process is presented. …”
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From Words to Ratings: Machine Learning and NLP for Wine Reviews
Published 2025-06-01“…Based on a bilingual dataset of reviews (in Bulgarian and English), semantic analysis, classification, regression and clustering models were used, which combine textual and structured data. The descriptions were transformed into numerical representations using a pre-trained language model (BERT), after which algorithms were used to predict style categories and ratings. …”
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