Dimensionality Reduction Optimization of High Subsonic Unmanned Aerial Vehicles Intake by Zeqi QI, Zheng GUO, Suqi CHEN, Ke YU

“…The results show that after dimensionality reduction through sensitivity analysis and PCA, the average error and coefficient of determination of the surrogate model were improved. …”
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Optimized Multiplicative Pre-Distortion PAPR Reduction Scheme for OTFS Signals by Feiyang Liu, Jiayang Zhao, Guangliang Ren

“…We present an iterative peak-to-average power ratio (PAPR) reduction scheme with multiplicative pre-distortion vectors for orthogonal time frequency space (OTFS) systems by making a compromise between the PAPR reduction and the bit error rate (BER) performance. …”
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Concept of Integrating a Hybrid Thermal Error Compensation Into an Existing Machine Tool Control Architecture by Alexander Geist, Muhammad Faisal Yaqoob, Christian Friedrich, Christian Naumann, Steffen Ihlenfeldt

“…Thermal error compensation via a numeric control (NC) system is a proven option for upgrading the precision of machine tools. …”
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Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment by Sergio A. C. Bezerra, Sergio A. C. Bezerra Junior, Jose L. De S. Pio, Jose R. H. Carvalho, Keiko V. O. Fonseca

“…To face this challenge, we introduced a new method, named the namely Perceptual Error Logarithm (PEL). Initially, luminance and chrominance maps are generated after the reduction and spatial color conversion applied to the input images. …”
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Enterprise power emission reduction technology based on the LSTM–SVM model by Li Kun, Su Meng, Liu Qiang, Zhang Bin

“…The minimum relative prediction error was 0.20%, the maximum error fluctuation was 0.78%, the accuracy was 12.85% higher than the LSTM model, and the recall was 11.60% higher. …”
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Accelerating Energy Forecasting with Data Dimensionality Reduction in a Residential Environment by Rafael Gonçalves, Diogo Magalhães, Rafael Teixeira, Mário Antunes, Diogo Gomes, Rui L. Aguiar

“…Our results demonstrate that by selecting the optimal dimensionality reduction method and model architecture, it is possible to decrease the mean squared error (MSE) by up to 63% and accelerate training by up to 80%.…”
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Correcting errors in seasonal Arctic sea ice prediction of Earth system models with machine learning by Z. He, Z. He, Z. He, Y. Wang, J. Brajard, X. Wang, X. Wang, Z. Shen, Z. Shen

“…Both approaches yield the most significant improvements in the marginal ice zone, where error reductions in sea ice concentration exceed <span class="inline-formula">20 %</span>. …”
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MIMO System Reduction Using Modified Pole Clustering and Genetic Algorithm by C. B. Vishwakarma, R. Prasad

“…The algorithm of the proposed method is illustrated with the help of an example and the results are compared with the other well-known reduction techniques.…”
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A DFT-Based Scheme for PAPR Reduction in SR-OFDM Systems by Haojia Lv

“…This paper focuses on the peak-to-average power ratio (PAPR) reduction in symbol repetition-based orthogonal frequency division multiplexing (SR-OFDM) systems, and a discrete Fourier transform (DFT)-based scheme is proposed to reduce the PAPR of SR-OFDM signals. …”
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Reduction of Multipath Effect in GNSS Positioning by Applying Pseudorange Acceleration as Weight by Kwan-Dong Park, Woong-Jun Yoon, Jong-Sung Lee

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Low fluctuation stiffness design method for vibration reduction of helical gears by YOU Zhiwei, GAO Jingtao, LI Haonan

“…The research results provide theoretical support for the vibration reduction design of the gear system.…”
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A proposed deep learning model for multichannel ECG noise reduction by Jay Prakash Maurya, Manish Manoria, Sunil Joshi

“…Comparison of ECG signal patterns is very difficult manually, and machine-based interpretation is a demand of society. Errors in ECG interpretation might result from noise contamination of ECG signals. …”
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Analytical Reduction of Nonlinear Metabolic Networks Accounting for Dynamics in Enzymatic Reactions by Claudia López Zazueta, Olivier Bernard, Jean-Luc Gouzé

“…Here, we propose a rigorous approach to reduce metabolic models using quasi-steady-state reduction based on Tikhonov’s theorem, with a characterized and bounded reduction error. …”
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Evaluation of Clipping Based Iterative PAPR Reduction Techniques for FBMC Systems by Zsolt Kollár, Lajos Varga, Bálint Horváth, Péter Bakki, János Bitó

“…The paper gives an overall comparison of PAPR reduction techniques, focusing on the reduction of the dynamic range of FBMC signals without increasing out-of-band radiation. …”
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Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals by Ahmed Shaheen, Liang Ye, Chrishni Karunaratne, Tapio Seppänen

“…The FGDAE showed the best performance on all seven error metrics used in our work in different noise intensities and artifact combinations compared with state-of-the-art algorithms. …”
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Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

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PAPR Reduction for Visible Light Communication Systems Without Side Information by Wei-Wen Hu, Da-Huei Lee

“…Selected mapping (SLM) technique is an attractive PAPR reduction technique for radio frequency OFDM systems. …”
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Experimental study on the drag reduction performance of sodium alginate in saline solutions by Zhensong Cheng, Xin Zhang, Xiaodong Dai, Hengli Zhai, Xinwang Song, Xudong Wang, Liang Gao, Guoxin Zhang, Yuan Lu, Lei Li, Xiu Yan, Jianhua Zhang

“…The experimental process was designed using Response Surface Methodology (RSM), and a predictive regression model for the drag reduction rate (DR) was developed. By comparing the predicted results with the experimental outcomes, we found that the accuracy of the predictive model is high, with the error controlled within ± 20%. …”
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Insights into geometric deviations of medical 3d-printing: a phantom study utilizing error propagation analysis by Lukas Juergensen, Robert Rischen, Julian Hasselmann, Max Toennemann, Arne Pollmanns, Georg Gosheger, Martin Schulze

“…The process of medical 3D-printing involves several steps, each of which might be prone to its own set of errors. The segmentation error (SegE), the digital editing error (DEE) and the printing error (PrE) are the most important partial errors. …”
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A Model Predictive Control Strategy with Minimum Model Error Kalman Filter Observer for HMEV-AS by Ying Zhou, Chenlai Liu, Zhongxing Li, Yi Yu

“…Additionally, a Minimum Model Error Extended Kalman Filter (MME-EKF) observer is designed to estimate unmeasurable state variables and account for errors resulting from sprung mass variations. …”
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