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1401
Self-synchronization and Automatic Balancing in Rotor Dynamics
Published 2000-01-01“…Synchronous elimination as one of the possible methods of cancelling any harmful vibration resulting from the unbalance of rotary machines is considered. …”
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1402
The impact of passive ultrasonic irrigation on the bond strength of two different self-etch adhesives to human pulp chamber dentine: a laboratory investigation
Published 2025-04-01“…Statistical analysis was conducted using one-way ANOVA and Tukey’s post hoc tests to compare irrigation regimens for each adhesive technique independently, while failure modes of each adhesive system were represented as the frequency for each irrigation method. The significance level was set at 5%, with a confidence interval (CI) of 95%. …”
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1403
Suppressing Milling Chatter of Thin-Walled Parts by Eddy Current Dampers
Published 2023-01-01“…One effective method to mitigate these vibrations is by using a damper, which can enhance machining accuracy, surface finish, and tool life. …”
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1404
Improvement of electrospark deposition technology of steel units for drilling rigs and mining equipment
Published 2022-08-01“…Tribological tests were carried out on a 2070-СМТ-1 standard friction machine according to the “disk-shoe” scheme.Results. …”
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1405
Electrical and viscoelastic parameters of erythrocytes as predictors of exacerbation in inflammatory bowel diseases
Published 2021-10-01“…Statistical processing was carried out using a system of machine learning methods – Random Forest, MATLAB (R2019a, MathWorks). …”
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1406
A deep neural network framework for estimating coastal salinity from SMAP brightness temperature data
Published 2025-06-01“…Despite advancements in satellite-based radiometry such as NASA’s Soil Moisture Active Passive (SMAP), significant challenges persist in coastal SSS retrieval due to radio frequency interference (RFI), land-sea contamination, and complex interactions of nearshore dynamic processes.MethodThis study proposes a deep neural network (DNN) framework that integrates SMAP L-band brightness temperature data with ancillary oceanographic and geographic parameters such as sea surface temperature, the shortest distance to the coastline (dis) to enhance SSS estimation accuracy in the Yellow and East China Seas. …”
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1407
Root Crack Identification of Sun Gear in Planetary Gear System Combining Fault Dynamics with VMD Algorithm
Published 2021-01-01“…A Variational Mode Decomposition (VMD) algorithm for the vibration frequency extraction is proposed. The measured vibration signals are decomposed into the sparse Intrinsic Mode Functions (IMFs) by the VMD, and then the IMFs are further analyzed by the spectral method to accurately extract the crack-induced frequency components. …”
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1408
PILOT STUDIES OF PROCESS OF VIBROACOUSTIC DYNAMICS AT LOCAL HARDENING OF DETAILS A SHARIKO-ROD UPROCHNITEL
Published 2019-06-01“…The purpose of researches which results are given in this article consisted in studying of regularities of spectral structure of noise and vibrations when processing ShSU of details with various ways of fixing. Method. In the course of pilot studies the known methods of measurement and processing of experimental data in relation to acoustic and vibration characteristics were used. …”
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1409
Anisotropic flexible stress sensors based on Loofah/CN/MWCNTs
Published 2025-01-01“…Flexible stress sensors are key components for realizing intelligent perception of robots and autonomous human-machine interaction. In view of the urgent need for high-performance flexible stress sensors with high sensitivity, wide range, and short response time in the field of human-machine interaction, a flexible stress sensor with conductive anisotropy is proposed, which is made of natural porous loofah as the matrix material and carbon nanoparticles/multi-walled carbon nanotubes (CN/MWCNTs) multidimensional composite materials as conductive coatings. …”
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1410
Predicting sleep quality with digital biomarkers and artificial neural networks
Published 2025-07-01“…We analyzed seven days of preceding data to predict next-day WASO using various machine learning approaches including ARIMA, Random Forest, XGBoost, GRU, TCN, Transformers, and LSTM models.ResultsAmong HRV features, the low-frequency to high-frequency (LF/HF) ratio emerged as the strongest correlate with WASO, showing statistically significant differences between groups (Lower LF/HF: 7.5±2.0 min vs. …”
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1411
In-flight Electrocardiography Monitoring in a Pilot During Cross Country Flight
Published 2024-12-01“…Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). …”
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1412
Adaptive respiratory muscle trainer based on hybrid nanogenerator sensor and artificial intelligence
Published 2025-06-01“…Existing respiratory muscle training methods rely on resistance that hinders breathing, and the resistance cannot be adjusted automatically. …”
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1413
Substantiation of the Line for the Primary Processing of Industrial Hemp lnto Hemp of the Same Type Undirected
Published 2022-06-01“…Levitsky and two shaking machines with a lower combed field at the rotation frequency of a disintegrator rotor of 1000 revolutions per minute, and a swing frequency of the shaking machine needle rollers of 230 revolutions per minute. …”
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1414
Fusion of PSO-SVM and ICEEMDAN for high stability GNSS-MR sea level height estimation
Published 2024-12-01“…The method utilises the GNSS multipath interfering signal frequencies (signal-to-noise oscillation term) extracted by ICEEMDAN as input features to the PSO-SVM model to retrieve the sea level height. …”
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1415
A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction
Published 2024-01-01“…Our findings underscore the necessity of evaluating LII before applying statistical or machine learning methods in LSM.…”
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1416
Ensuring the Vibration Reliability of Rotors Connected by Spline Joints
Published 2019-12-01“…The proposed approaches, based on the integrated application of CAE software and computational intelligent systems, allow for modal and harmonic analysis and implement virtual balancing with a significant reduction in preparation and machine time without loss of relative accuracy. In addition, the developed mathematical model of free and forced vibrations of rotor systems have been implemented in the program code operational files “Critical Frequencies of the Rotor” and “Forced Oscillations of the Rotor” of the computer algebra system MathCAD that allows improving the dynamic balancing procedure for evaluating primary imbalances. …”
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1417
Proactive Detection and Mitigation Strategies for Advanced Persistent Threats
Published 2025-06-01“…It highlights the ongoing challenges presented by APTs, particularly their adaptive and dynamic attack methods, and emphasises the need for continuous improvement in defensive strategies. …”
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1418
Emerging Trends in AI-Based Soil Contamination Monitoring and Prevention
Published 2025-06-01“…The first study examines the distribution of articles over the years to assess researchers’ interest in soil health, and subsequently, the same analysis is conducted regarding artificial intelligence (AI) methods. Additionally, the productivity of authors, the distribution of articles by country, relevant publications, and the frequency of keywords are analyzed to identify areas of interest associated with soil health. …”
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1419
Enhancing Acoustic Leak Detection with Data Augmentation: Overcoming Background Noise Challenges
Published 2025-06-01“…With this method, detection accuracies of over 95% with a false alarm rate under 2% can be achieved on a test dataset under the background noises of hydraulic machines in laboratory conditions.…”
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1420
Using Anomaly Detection to Search for Technosignatures in Breakthrough Listen Observations
Published 2025-01-01“…We address this challenge by using a combination of simulations and machine learning methods for anomaly detection. We rank candidates by how unusual they are in frequency, and how persistent they are in time, by measuring the similarity between consecutive spectrograms of the same star. …”
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