Truncation Artifact Reduction in Stationary Inverse-Geometry Digital Tomosynthesis Using Deep Convolutional Generative Adversarial Network by Burnyoung Kim, Seungwan Lee

“…The results showed that the proposed method led to a substantial reduction in truncation artifacts. …”
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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

“…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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Optimizing the Shape of Signals with Quadrature Amplitude Modulation According to the Criterion of Given Reduction Rate of Out-of-Band Emissions by S. B. Makarov, S. V. Zavjalov, A. S. Ovsyannikova

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PAPR Reduction in DCO-OFDM Visible Light Communication Systems Using Optimized Odd and Even Sequences Combination by Wei-Wen Hu

“…Furthermore, a deterministic and efficient selection method of cyclic shift and phase rotation is derived to improve PAPR reduction performance and ensure that each candidate is unique, so that the receiver can recover the transmitted candidate signal without the use of SI. …”
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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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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

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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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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

“…We propose a novel method for in situ calculation of the gradiometric coupling coefficients, called the Reduction Algorithm for Magnetometer Electromagnetic Noise (RAMEN). …”
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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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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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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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Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nong... by Yuxiang Wang, Zhangwei Chen, Hongfei Zu, Xiang Zhang, Chentao Mao, Zhirong Wang

“…The errors of the reduction ratio and the coupling ratio are identified at the same time. …”
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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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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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Research on Vibration Reduction Characteristics of Continuum and Noncontinuum System on Coupling for High-Power Gear Transmission Based on Particle Damping Materials by Wangqiang Xiao, Zhanhao Xu, Sheng Wang, Shaowei Yu, Kai Qin, Dike Hu

“…For the vibration and noise problems caused by transmission error, a discrete element and finite coupling method based on the particle filling rate is proposed. …”
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In vivo confocal microscopy provides evidence of corneal nerve damage and basal tear film reduction in patients treated with oral isotretinoin by Alberto Barros, Javier Lozano-Sanroma, Juan Queiruga-Piñeiro, Luis Fernández-Vega-Cueto, Cristina Sánchez-Fernández, Jesús Merayo-Lloves, Ignacio Alcalde

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Semi-quantitative parameter analysis of DCE-MRI revisited: monte-carlo simulation, clinical comparisons, and clinical validation of measurement errors in patients with type 2 neuro... by Alan Jackson, Ka-Loh Li, Xiaoping Zhu

“…<h4>Purpose</h4>To compare semi-quantitative (SQ) and pharmacokinetic (PK) parameters for analysis of dynamic contrast enhanced MR data (DCE-MRI) and investigate error-propagation in SQ parameters.<h4>Methods</h4>Clinical data was collected from five patients with type 2-neurofibromatosis (NF2) receiving anti-angiogenic therapy for rapidly growing vestibular schwannoma (VS). …”
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MONITORING DATA AGGREGATION OF DYNAMIC SYSTEMS USING INFORMATION TECHNOLOGIES by Dmytro Shevchenko, Mykhaylo Ugryumov, Sergii Artiukh

“…The following models and methods were used: data processing and preparation, data dimensionality reduction. …”
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A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer by Hisham Allahem, Sameh Abd El-Ghany, A. A. Abd El-Aziz, Bader Aldughayfiq, Menwa Alshammeri, Malak Alamri

“…This article introduces a novel hybrid CAD approach named ViT-PCA-RF, which integrates Vision Transformer (ViT) and Principal Component Analysis (PCA) with Random Forest (RF) for brain tumor classification, providing a new method in the field. ViT was employed for feature extraction, PCA for feature dimension reduction, and RF for brain tumor classification. …”
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