Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

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Measurement and deformation monitoring system for underground engineering robots based on Internet of Things architecture by Yao Di

“…Multiple regression analysis was used to evaluate the monitoring accuracy and stability and to explore the relationship between monitoring data and geological conditions and environmental variables. …”
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Dynamic Tuning and Multi-Task Learning-Based Model for Multimodal Sentiment Analysis by Yi Liang, Turdi Tohti, Wenpeng Hu, Bo Kong, Dongfang Han, Tianwei Yan, Askar Hamdulla

“…Multimodal sentiment analysis aims to uncover human affective states by integrating data from multiple sensory sources. …”
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Intelligent Analysis of Hydraulic Concrete Vibration Time Based on Convolutional Neural Network by Hao Liu, Chengzhao Liu, Jiake Fu, Chenzhe Ma, Ye Zhang, Yumeng Lei

“…The system took the convolutional neural network as the basic framework, and divided the concrete vibration process into three different states: vibrating, not vibrating, and no vibration tube, realized the concrete vibration time through the analysis of concrete vibration video data. The detection of concrete vibration process video with multiple stages in the actual project shows that the detection error of the system for each state is kept within 1 s, the accuracy is high, which can meet the quality management requirements of the construction process. …”
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Prediction of Seepage Pressure Based on Memory Cells and Significance Analysis of Influencing Factors by Mengdie Zhao, Haifeng Jiang, Shoukai Chen, Yajing Bie

“…The prediction and analysis of seepage pressure monitoring data is an effective way to ensure the safety and stability of dam seepage. …”
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Passive Indoor People Counting by Bluetooth Signal Deformation Analysis with Deep Learning by Giancarlo Iannizzotto, Lucia Lo Bello, Andrea Nucita

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A Comparative Analysis of Price Forecasting Methods for Maximizing Battery Storage Profits by Alessandro Fiori Maccioni, Simone Sbaraglia, Rahim Mahmoudvand, Stefano Zedda

“…We examined whether specific forecasting models, ranging from statistical benchmarks to machine learning methods, consistently deliver superior financial outcomes for storage operators. Using real market data from the Italian day-ahead electricity market over 2020–2024, we compared univariate singular spectrum analysis (SSA), ARIMA, SARIMA, random forests, and a 30-day simple moving average under a unified trading framework. …”
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A Comparative Analysis of Burned Area Datasets in Canadian Boreal Forest in 2000 by Laia Núñez-Casillas, José Rafael García Lázaro, José Andrés Moreno-Ruiz, Manuel Arbelo

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Classifiability Analysis of Spectroscopic Profiling Datasets in Food Safety-related Discriminative Tasks by Yinsheng Zhang, Xudong Yang, Zhengyong Zhang, Haiyan Wang

“…Compared to the current “trial-and-error” practice, this paper proposes a dedicated two-step classifiability analysis framework to address this issue. …”
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Economic Efficiency of Renewable Energy Investments in Photovoltaic Projects: A Regression Analysis by Adem Akbulut, Marcin Niemiec, Kubilay Taşdelen, Leyla Akbulut, Monika Komorowska, Atılgan Atılgan, Ahmet Coşgun, Małgorzata Okręglicka, Kamil Wiktor, Oksana Povstyn, Maria Urbaniec

“…This study examines the economic efficiency of a <b>1710.72 kWp solar power plant (SPP), implemented under an EPC at Alanya Alaaddin Keykubat University, using a regression-based analysis.</b> The model evaluates the effects of solar radiation, investment cost, and electricity sales price on unit production cost, and its predictions were compared with actual production data. …”
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Forecast and Trend Analysis of Water Demand in Guizhou Province Based on CNN-LSTM by LI Xinan, ZHU Feiyan

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Pattern of adverse drug reactions to anticancer drugs: A quantitative and qualitative analysis by Shruti Singh, D C Dhasmana, Manisha Bisht, Prashant Kumar Singh

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Analysis of Electromagnetic and Thermal Processes of an Induction Motor Using 3D Modeling by A. N. Pekhota, V. N. Galushko, B. M. Khrustalev, D. V. Mirosh

“…A comparison of the characteristics of the real induction motor (IM), the model IM and the one calculated according to the standard methodology made it possible to calculate the error taking into account the correction factor relative to the data used in the calculation methods of assessment, and to use this value in new calculation and modeling methods. …”
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Validation of Amoxicillin iodometric procedure in quantitative analysis of pure substance and medical preparation by Yu. Yu. Serdiukova, O. V. Kolisnyk, Т. О. Tomarovska, S. M. Poluian, Z. V. Shovkova, O. H. Pohosian

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Characteristics Analysis of Joint Acoustic Echo and Noise Suppression in Periodic Drillstring Waveguide by Li Cheng, Chang Jinfeng, Liu Zhao, Fan Shangchun, Ding Tianhuai

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Dealing with the Outlier Problem in Multivariate Linear Regression Analysis Using the Hampel Filter by Amira Wali Omer, Taha Hussein Ali

“…The algorithm optimizes window size and threshold parameters to minimize mean square errors, making it a robust approach for handling outliers in multivariate regression analysis. …”
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A Generalizability Analysis of the Reliability of Measurements: "An Example of Cell Division and Heredity Unit" by Gülşah Başol, Muammer Yüksel

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Feasibility Assessment of Novel Multi-Mode Camshaft Design Through Modal Analysis by Merve Üngör, Osman Taha Sen, Akif Yavuz, Cemal Baykara

“…Second, modal tests are performed on the camshaft, which reveal an error of 15% on the computationally predicted natural frequencies. …”
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Assessment of operational non-time-critical Sentinel-6A Michael Freilich radio occultation data: insights into tropospheric GNSS signal cut-off strategies and processor improvement... by S. Paolella, A. Von Engeln, S. Padovan, R. Notarpietro, C. Marquardt, F. Sancho, V. Rivas Boscan, N. Morew, F. Martin Alemany

“…</p> <p>The validation of the EUMETSAT processed Sentinel-6A RO-NTC data against the European Centre for Medium-Range Weather Forecasts (ECMWF) short-range forecasts and comparisons with Metop-B/C and EUMETSAT-processed SPIRE occultations, highlights the reduction in random error and modifications in the tropospheric bias structure, a result of the enhancements in data processing techniques. …”
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Research and Analysis of Thermal Parameter of Million-kilowatt Sodium-cooled Fast Reactor by DING Tongwei1, CHEN Wei2, WANG Wenjie3

“…The model was validated using two sets of actual operational data from the CEFR at 40% rated power and 100% rated power, and the relative error of electric power was found to be less than 1.3%. …”
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