Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment by Sikkandar Mohamed Yacin, Sabarunisha Begum S., Alassaf Ahmad, AlMohimeed Ibrahim, Alhussaini Khalid, Aleid Adham, Alhaidar Abdulrahman Khalid

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CPO-VMD Combined With Multiscale Permutation Entropy for Noise Reduction in GNSS Vertical Time Series in Mining Areas by Xu Yang, Xinxin Yao, Xinjian Fang, Xuexiang Yu, Yi Wu, Shicheng Xie

“…The results of simulation and example analysis show that compared with wavelet denoising (WD), empirical modal decomposition (EMD), ensemble empirical mode decomposition (EEMD), and improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), this method shows significant advantages in the evaluation indexes of noise reduction effect—Pearson’s correlation coefficient (R), the signal-to-noise ratio (SNR), and the root-mean-square error (RMSE)—and all the indexes are better than the comparative methods. …”
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Strength development following a six-week risk reduction athletic development training program in men and women by Christopher J. Cleary, Krisha Crane, Lisa M. Vopat, Bryan G. Vopat, Ashley A. Herda

“…This study retrospectively evaluated data from an athlete management system on the impact of a 6-week, 12-session risk-reduction athletic development training program on maximal isometric strength in post-rehabilitative and healthy men and women. …”
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How energy transition and fintech influence income inequality in Sub-Saharan Africa: Evidence from a panel-corrected standard error approach by Etienne Bienvenu Akono, Vatis Christian Kemezang

“…By employing the panel-corrected standard errors approach, the analysis takes into account contextual and institutional factors, as well as regional specificities, for the period extending from 2000 to 2021. …”
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Radio frequency interface quality assessment in 4G/5G: Effects of IQ imbalance, phase noise, and nonlinearities on error vector magnitude. by Ilya Pyatin, Juliy Boiko, Viacheslav Kovtun, Oksana Kovtun

“…However, their efficiency depends on minimizing distortions in the radio frequency (RF) interface, evaluated through Error Vector Magnitude (EVM). Increased EVM leads to packet losses and reduced throughput, making its reduction essential for stable and high-quality networks. …”
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A Quantitative Evaluation Method Based on Back Analysis and the Double-Strength Reduction Optimization Method for Tunnel Stability by Jinglai Sun, Fan Wang, Xinling Wang, Xu Wu

“…Compared with the traditional method, the proposed back analysis method can reduce errors in the predicted performance, and unlike the SRM, the ODSRM can avoid overestimating the safety factor with the same reduction factor. …”
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Improving hierarchical ammonium control operation in wastewater treatment with non-ideal sensors and actuators using filters, adaptive control and measurement error prediction by I. Santín, M. Meneses, C. Pedret, M. Barbu, R. Vilanova

“…Various combinations of the proposed techniques were tested, reducing abrupt actuator variations and achieving the maximum integral of squared error reduction of 74% in ammonium measurement error, and 88% in dissolved oxygen control.…”
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SUPPLEMENTS TO THE PROBLEM OF ENERGY CONSUMPTION IN REDUCING LIGNOCELLULOSES BIOMASS SIZE TO PRODUCE ENERGY by Raluca SFÎRU, Petru CARDEI, Cornelia MURARU-IONEL, Vergil MURARU

“…The performances of the interpolation formulas are evaluated using the global error and the maximum error, varying between 1% and 0.1% for the prior and 3.8% and 0.34% for the latter. …”
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Evaluation of changes in refractive errors, intraocular pressure, and other anterior segment parameters after Nd:YAG laser capsulotomy for posterior capsule opacification by Mohammed Abdelhamid Mohammed Mohammed, Ghofran Ahmad Metwally

“…There were significant reductions in ACD (P = 0.0025). Conclusion: After capsulotomy, there was a real shallowing of the anterior chamber; spherical equivalents remained unchanged, while spherical and cylindrical errors decreased. …”
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Speed and current harmonics reduction using an adaptive proportional integral resonant controller for PMSM based electric vehicle drives by Elango Sangeetha, Vijaya Priya Ramachandran

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Reduction of Spike-like Noise in Clinical Practice for Thoracic Electrical Impedance Tomography Using Robust Principal Component Analysis by Meng Dai, Xiaopeng Li, Zhanqi Zhao, Lin Yang

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A Low-Complexity Block Diagonalization Algorithm for MU-MIMO Two-Way Relay Systems with Complex Lattice Reduction by Lin Xiao, Shengen Liu, Dingcheng Yang

“…Simulation and performance analysis demonstrate that the proposed LR-MMSE algorithm has not only a better bit error rate (BER) performance, a higher sum-rate, and simple architecture, but also 89.8% and 35.5% less complexity compared to BD- and MMSE-based scheme.…”
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Feature dimensionality reduction for recognition of Persian handwritten letters using a combination of quantum genetic algorithm and neural network by Mohammad Javad Aranian, Moein Sarvaghad-Moghaddam, Monireh Houshmand

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Evaluation and Reduction of Energy Consumption of Railway Train Movement on a Straight Track Section with Reduced Freight Wagon Mass by Maryna Bulakh

“…This paper presents an evaluation and reduction of energy consumption during railway train movement on a straight track section with reduced freight wagon mass. …”
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A Multi-Point Moment Matching Approach with Frequency-Aware ROM-Based Criteria for RLCk Model Order Reduction by Dimitrios Garyfallou, Christos Giamouzis, Nestor Evmorfopoulos

“…Model order reduction (MOR) is crucial for efficiently simulating large-scale RLCk models extracted from modern integrated circuits. …”
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In Situ Calculation of Spaceflight Magnetometer Coupling Coefficients for Interference Removal Using the Reduction Algorithm for Magnetometer Electromagnetic Noise (RAMEN) by Alex P. Hoffmann, Mark B. Moldwin

“…This process is time‐intensive, costly, and prone to error due to the changing nature of a spacecraft magnetic field environment in operation. …”
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Noise Reduction of Velocity Measured by Frequency-Supervised Combined Doppler Sonar Using an Adaptive Sliding Window and Kalman Filter by Peng Liu, Bingxin Liu, Xueyuan Zhu, Peng Chen, Ying Li

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Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans by Faezeh Yousefi, Ali Heidari, Azita Ehsani, Maryam Farhadian, Marzieh Ehsani

“…This study aimed to assess the efficacy of metal artifact reduction (MAR) and advanced noise reduction (ANR) algorithms for detection of peri-implant bone defects. …”
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ANALISIS KESALAHAN EJAAN MAKALAH MAHASISWA ILMU KOMPUTER UNWIRA KUPANG by Giovanni Battista Agung

“…The data were analyzed using the Miles and Huberman model, which consists of data reduction, data display, and conclusion drawing. The results indicate that spelling errors remain a recurring and dominant issue in students’ academic writing. …”
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Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis by Bingyou JIANG, Yuqian ZHANG, Changfei YU, Ben JI, Haoyu WANG, Zhuang LIU

“…The results show that: the coal dust D90 after spray dust reduction decreases with the increase of the distance from the dust source to the spray frame, increases and then decreases with the increase of wind speed, and increases with the increase of water supply pressure, and there is a strong positive correlation between full dust, exhaled dust reduction efficiency and D90, the better the spray dust reduction effect, the larger the coal dust D90 after spray dust reduction; the weighting-based prediction model of coal dust D90 after dust spraying has higher accuracy and smaller error, and can accurately characterize the quantitative relationship between coal dust D90 after dust spraying and three influencing factors, namely, the distance of the spray frame from the dust source, the wind speed of the roadway, and the water supply pressure of the nozzle.…”
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