Electromagnetic Processes Simulation of Power Transformers in Operation and in No-load Modes by Yarymbash D.S., Kotsur M.I., Yarymbash S.T., Kylymnyk I.M.

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Timeseria: An object-oriented time series processing library by Stefano Alberto Russo, Giuliano Taffoni, Luca Bortolussi

“…Timeseria is an object-oriented time series processing library implemented in Python, which aims at making it easier to manipulate time series data and to build statistical and machine learning models on top of it. …”
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Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate by Soojeong Lee, Gyanendra Prasad Joshi, Gangseong Lee

“…However, machine learning algorithm-related errors are unsuitable for medical decision-making processes because some data have a much larger sample size in the training set than in other sets. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…Data preparation incorporates median filtering and global contrast normalization to enhance image quality. …”
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PROCESSING THE INFORMATION CONTENT ON THE BASIS OF FUZZY NEURAL MODEL OF DECISION MAKING by Nina V. Komleva, Olga A. Khlopkova

Subjects: “…intellectualization of data processing…”
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Data Search Process Optimization using Brute Force and Genetic Algorithm Hybrid Method by Yudha Riwanto, Muhammad Taufiq Nuruzzaman, Shofwatul Uyun, Bambang Sugiantoro

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Parallelized Field-Programmable Gate Array Data Processing for High-Throughput Pulsed-Radar Systems by Aaron D. Pitcher, Mihail Georgiev, Natalia K. Nikolova, Nicola Nicolici

“…The architecture is integrated with an in-house UWB pulsed radar operating at a sampling rate of 20 gigasamples per second (GSa/s). It is demonstrated that the FPGA data-processing speed matches that of the radar output, thus eliminating data loss. …”
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U + LSTM-F: A data-driven growth process model of rice seedlings by Xin Tian, Weifan Cao, Shaowen Liu, Buyue Zhang, Junshuo Wei, Zheng Ma, Rui Gao, Zhongbin Su, Shoutian Dong

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Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift by Vladimir Zh. Kuklin, Naur Z. Ivanov, Alexander N. Muranov, Islam A. Alexandrov, Elena Yu. Linskaya

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Development and validation of large language model rating scales for automatically transcribed psychological therapy sessions by Steffen T. Eberhardt, Antonia Vehlen, Jana Schaffrath, Brian Schwartz, Tobias Baur, Dominik Schiller, Tobias Hallmen, Elisabeth André, Wolfgang Lutz

“…Results remained robust across bootstrap resampling and cross-validation, accounting for nested data. The LLM rating scale exhibited strong psychometric properties, demonstrating the potential of the approach as an assessment tool. …”
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Power distribution and forecasting using a probabilistic and systematic data processing model for renewable resources by Hammad Alnuman, Ghulam Abbas, Amr Yousef

“…To provide a robust and trustworthy assessment, we validate our results using the Smart Grid Data set from the ARRA projects dataset. Comparing PSPM to current methods, empirical data show that it improves forecast success rate by 20%, increases distribution efficiency by 25%, and reduces analytical latency by 35%. …”
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Trajectory inference from single-cell genomics data with a process time model. by Meichen Fang, Gennady Gorin, Lior Pachter

“…These snapshots have been used to infer trajectories and dynamic information even without intensive, time-series data by ordering cells according to gene expression similarity. …”
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Data processing capability of polarization dynamics in ferroelectric-gate transistor-based physical reservoir computing by Yu Ukezeki, Sota Inoue, Norifumi Fujimura, Tokuji Yokomatsu, Kensuke Kanda, Kazusuke Maenaka, Kasidit Toprasertpong, Shinichi Takagi, Takeshi Yoshimura

“…We investigated the relationship between the polarization characteristics of ferroelectric Hf _0.5 Zr _0.5 O _2 thin-films and data processing capability in physical reservoir computing. …”
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A novel data processing approach to detect fraudulent insurance claims for physical damage to cars by Ahmet Yücel

“…Claims suspected of fraud are evaluated using empirical data from previously investigated claims. The main objective of this manuscript is to demonstrate a novel data processing system and its potential for use in data classification. …”
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On-line computer determination of rate constants from stopped flow data by a nonlinear least square method by Andreas D. Zuberbühler, Thomas A. Kaden

“… The on-line data acquisition from a Durrum D 110 stopped flow spectrophotometer as well as the calculation of rate constants by a nonlinear least square program written for a Hewlett-Packard HP 9820 (or HP 9821) desktop computer is described. …”
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A Study on Denoising Autoencoder Noise Selection for Improving the Fault Diagnosis Rate of Vibration Time Series Data by Jun-gyo Jang, Soon-sup Lee, Se-Yun Hwang, Jae-chul Lee

“…These findings demonstrate that incorporating real high-frequency components from vibration data into the DAE training process is effective in enhancing both noise removal and fault diagnosis performance.…”
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Evidence of differences in diurnal electrodermal, temperature and heart rate patterns by mental health status in free-living data by Xin Liu, Nicholas B Allen, Ming-Zher Poh, Daniel McDuff, Isaac Galatzer-Levy, Seamus Thomson, Andrew Barakat, Conor Heneghan, Samy Abdel-Ghaffar, Jacob Sunshine, Lindsey Sunden, John B Hernandez, Allen Jiang, Ari Winbush, Benjamin Nelson

“…This work (n=237, 4-week observation period) examines the association between passively collected, diurnal variations in EDA and symptoms of depression, anxiety and perceived stress in a large community sample.Methods We conducted a prospective, non-randomised study to investigate patterns and relationships between digital device use patterns, including sensor data from phones and wearables reflecting both behavioural and physiological processes, and self-reported measures of mental health and well-being. …”
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Mathematical model of independence of alternatives in the theory of ratings by V. M. Romanchak

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Increase success rate of weather forecasts for the airfield by integration of measurements of meteorological parameters of the atmosphere by E. A. Bolelov

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KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES by Ar Razi, Desvina Yulisda

“… Data mining is the process of collecting and processing data with the aim of extracting important information from the data. …”
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