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Physics-informed machine learning to predict solvatochromic parameters of designer solvents with case studies in CO2 and lignin dissolution
Published 2025-06-01“…The polarity of solvents plays a critical role in various research applications, particularly in their solubilities. …”
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13142
Machine learning assisted design of low-carbon aluminosilicate cementitious composites with diverse raw materials and target mechanical strength
Published 2025-07-01“…Despite great efforts have been drawn for decades on exploring various low-carbon raw materials, there remain significant challenges in the universal and precise design of cementitious composites satisfying desired performance without abundant trial-and-error. This study proposes a machine learning assisted design framework for the aluminosilicate cementitious composites based on the data extracted from hundreds of relevant literatures in recent five years. …”
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13144
Evaluation of the electrocoagulation process in API oil refinery wastewater treatment (case study: Arak , Shazand)
Published 2019-03-01“…In order to minimize the errors during the testing process, each step has been repeated three times. …”
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13145
Generative artificial intelligence and machine learning methods to screen social media content
Published 2025-03-01“…Background Social media research is confronted by the expansive and constantly evolving nature of social media data. …”
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13146
Identifikasi Nada antara Suling Sunda dan Suling Rekorder dengan Menggunakan Metode Frequency Cpstral Coefficients (MFCC) dan Dynamic Time Warping (DTW)
Published 2020-02-01“…Incompatibility matching tones caused by the distance between adjacent tones and because Sundanese flutes can use low, standard, and high tones and for this study only standard tones are used and when taking test data all blowers are laymen to blow flutes so that errors often occur during the process of taking test data. …”
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13147
Innovative Design and Optimization of High-Quality Peanut Digging-Inverter
Published 2024-10-01“…To rapidly dry peanut pods and effectively address mold issues resulting from rainy weather, this article provides an analysis of the current research status of global peanut digging, inverting, and harvesting technologies. …”
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13148
Evaluation of Large Language Models in Tailoring Educational Content for Cancer Survivors and Their Caregivers: Quality Analysis
Published 2025-04-01“…However, there is limited research evaluating how effectively LLMs perform in creating targeted content for individuals with diverse literacy and language needs. …”
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13150
Kinematics of Cataclysmic Variables in the Solar Neighborhood in the Gaia Era
Published 2025-01-01Get full text
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13152
Ganoderma Disease in Oil Palm Trees Using Hyperspectral Imaging and Machine Learning
Published 2025-03-01“…The developed band alignment significantly improved spectral coherence across the adjacent bands, as proved by enhanced Root Mean Squared Error (RMSE), Pearson Correlation Coefficient (PCC), and Normalized Mutual Information (NMI) values. …”
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13156
Cosmic Chronometers, Pantheon+ Supernovae, and Quasars Favor Coasting Cosmologies over the Flat ΛCDM Model
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13157
Online Monitoring Method for Opening and Closing Time of 10 kV Spring Energy Storage Circuit Breaker Based on Transient Electrical Signal Characteristic Point Marking and Self-Cali...
Published 2024-12-01“…The comparison results show that this method has good stability, and the calculation error is controlled within 1% after self-calibration, which provides a new idea for the online monitoring research of the mechanical characteristics of spring energy storage vacuum circuit breakers.…”
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A Machine Learning Implementation to Predictive Maintenance and Monitoring of Industrial Compressors
Published 2025-02-01“…The model achieved 98% accuracy in the Mean Squared Error metric for our regression model. By analyzing the gathered data, the implemented system demonstrates the capabilities to predict potential equipment failures with promising accuracy, facilitating a shift from reactive to proactive maintenance strategies. …”
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Real-Time High-Resolution Global PWV Retrieval Based on Weather Forecast Foundation Models and Cross-Validation With Radiosonde, GNSS, and ERA5
Published 2025-01-01“…Results show the new scheme achieves 3.01 mm global root mean square error in real time, and the value reduce to 2.25 mm when focusing only on land areas, which is more accurate than most existing methods that rely on postprocessed surface-domain data. …”
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