Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor by Ananias Pereira Neto, Ananias Pereira Neto, Fabrício J. B. Barros

“…This dynamic thresholding approach aims to selectively reduce or eliminate noise coefficients while preserving essential image features.ResultsThe proposed method was rigorously evaluated against existing state-of-the-art noise reduction techniques. Experimental results demonstrate significant improvements in key performance metrics, including mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM).DiscussionThe proposed adaptive thresholding technique effectively addresses the limitations of existing methods by providing a more efficient and accurate noise reduction approach. …”
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Cell-type specific reductions in interneuron gene expression within the cingulate gyrus of schizophrenia and bipolar disorder subjects by David M. Krolewski, Huzefa Khalil, Maria Waselus, Marquis P. Vawter, Blynn G. Bunney, Richard M. Myers, Francis S. Y. Lee, Alan F. Schatzberg, William E. Bunney, Huda Akil, Stanley J. Watson

“…SZ and BP displayed divergent aMCC gene expression reductions suggesting transcriptional changes are associated with disease-specific gene/subregion signatures, potentially underlying differential subregional dysregulation within areas associated with error detection/action monitoring and the salience network. …”
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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

“…There was a main effect for time where the post-rehabilitative athletes’ quadriceps and hamstrings strength increased by (mean difference ​± ​standard error) (4.2 ​± ​0.7) kg (p ​< ​0.01) and (4.5 ​± ​0.9) kg (p ​< ​0.01) respectively, with legs (operative [OP]) and non-operative [NOP]) combined. …”
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A comparative study of ultra-massive MIMO intelligent receivers with adversarial robustness and energy efficiency for 6G applications by Pushkar Nidagundi, Advesh Darvekar, Malik Amber, Ramesh R

“…Simulation results demonstrate that the optimized Minimum Mean Square Error (MMSE) detector achieves up to 95 % reduction in Bit Error Rate (BER) compared to Zero-Forcing (ZF) in small-to-medium UM-MIMO configurations (2 × 2 to 32 × 32), as shown in Tables (4 and 5), while maintaining computational feasibility. …”
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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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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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Reduction of Electromagnetic Reflections in 3D Airborne Transient Electromagnetic Modeling: Application of the CFS-PML in Source-Free Media by Yanju Ji, Xuejiao Zhao, Jiayue Gu, Dongsheng Li, Shanshan Guan

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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

“…These results are supported by experiments showing that the MAPE error does not exceed 1.9%, which can confirm the accuracy of the developed model. …”
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Dual-Closed-Loop Control System for Polysilicon Reduction Furnace Power Supply Based on Hysteresis PID and Predictive Control by Shihao Li, Tiejun Zeng, Shan Jian, Guiping Cui, Ziwen Che, Genghong Lin, Zeyu Yan

“…Simulation results demonstrate that this hybrid control strategy significantly improves the system’s performance, achieving faster response times, smaller steady-state errors, and notable improvements in the uniformity of polysilicon deposition, which is critical for high-quality silicon rod growth. …”
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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

“…Among MOR methods, balanced truncation offers strong theoretical error bounds but is computationally intensive and does not preserve passivity. …”
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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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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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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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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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The Application of Imperialist Competitive Algorithm in Determining the Optimal Parameters of Empirical Area Reduction Method to Predict the Sedimentation Process in Dez Dam by Arash Azari, Sadegh Soori Hossein Bonakdari, Hossein Bonakdari

“…The use of the same methods for country interior dams without optimizing the coefficients have problems and sometimes full of errors. Therefore, calibration of area reduction method and extracting optimal parameters of this method have a special importance in predicting the sedimentation process in reservoirs, which greatly reduces the predictive error. …”
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