Multi-stage deep learning artifact reduction for parallel-beam computed tomography by Jiayang Shi, Daniël M. Pelt, K. Joost Batenburg

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Analyzing the impact of curved tracks on wheel flange thickness reduction in railway systems by Namayanja Zainah, Nkundineza Celestin, Zewdie Behailu Mamo

“…The results of wear indices obtained using SIMPACK and VAMPIR closely matched with a small percentage error difference of 1.94%. The matching of these results validated the effectiveness of the methods used in this research to calculate wear. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

“…Empirical evaluation using the ASVSpoof 2017 v2.0 dataset measures the classification performance with the Equal Error Rate (EER) metric, achieving values of approximately 10%. …”
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Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

“…Furthermore, based on modal data analysis, a Support Vector Machine (SVM) regression model is selected to reconstruct the temperature field. The average absolute error of the reconstructed temperature fields from three methods under different operating conditions is then compared. …”
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Method for limiting the peak factor using an additional compensation signal in a system with orthogonal frequency division multiplexing for a Gaussian channel by Th. T. Pham, O. V. Tikhonova

“…The main disadvantage of OFDM is the high peak-power-to-average-power ratio (PAPR), which is indicated by an increase in the bit error rate due to the nonlinearity of the power amplifier. …”
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A low-complexity AMP detection algorithm with deep neural network for massive mimo systems by Zufan Zhang, Yang Li, Xiaoqin Yan, Zonghua Ouyang

“…However, existing detection methods have not yet made a good tradeoff between Bit Error Rate (BER) and computational complexity, resulting in slow convergence or high complexity. …”
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ARIMA based projection of infant mortality rate by the year 2030: a comparative analysis of India and Madhya Pradesh by Abhinav Bahuguna, Akanksha Uniyal, Vidisha Vallabh

“…The deployed model is well fitted as mean absolute percentage error lies below 5%. During 2010–20, India and MP witnessed a decadal reduction of 40% and 31% in IMR, respectively. …”
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Impacts of inter-train distances on aerodynamic drag reduction in heavy-haul train groups by LYU Jun, XIANG Tao, SONG Zongying, GAO Guangjun

“…The comparison indicated an error of 3.4%, suggesting a close alignment between the numerical simulation data and the results from the wind tunnel experiments. …”
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Reducing peak-to-average power ratio of filtered non-orthogonal multiple access and new radio 5g waveforms using hybrid partial transmit sequence-companding technique by Arun Kumar, Karthikeyan Rajagopal, Nishant Gaur, Aziz Nanthaamornphong

“…Conventional nonorthogonal multiple access (NOMA) is compared with F-NOMA, and systems with and without the hybrid technique are examined regarding metrics including the power spectral density, bit error rate (BER), and computational complexity. Compared with NOMA, simulation results show that F-NOMA using the proposed technique improves the PAPR and OOBE while preserving the BER performance of F-NOMA.…”
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Advanced 5G Channel Estimation in mmWave MIMO Systems: Leveraging Compressive Sensing for Enhanced Performance by Zaid Albataineh, Mohammad Al Bataineh, Khaled Farouq Hayajneh, Raed Al Athamneh

“…The simulation results demonstrate that the proposed method achieves superior normalized mean square error (NMSE) performance compared to traditional CS-based techniques. …”
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Regional Short‐Term Wind Power Prediction Based on CEEMDAN‐FTC Feature Mapping and EC‐TCN‐BiLSTM Deep Learning by Guoyuan Qin, Xiaosheng Peng, Zimin Yang

“…Finally, case studies elucidate the efficacy of the proposed WPP method, illustrating a 0.41%–2.4% diminution in 24‐h‐ahead root mean square error (RMSE) and a 0.68%–2.63% reduction in 96‐h‐ahead RMSE relative to conventional methodologies.…”
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RF-Assisted Uncertainty Cone Reduction in Free-Space Optical Inter-Satellite Links by Elena Fernandez-Nino, Juan A. Fraire, Adriano Camps, Joan A. Ruiz-De-Azua

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Piecewise-linear companding transform for peak-to-average power ratio reduction of OFDM signals by YANG Pin-lu, HU Ai-qun

“…In order to reduce the peak-to-average power ratio（PAPR） of orthogonal frequency division multiplexing（OFDM） signals,a piecewise-linear companding transform was proposed.Small amplitudes were multiplied by a scale factor,while large ones were not only multiplied by a scale factor but also added by a shift.The resulting companding transform was piecewise-linear and continuous.It can provide significant PAPR reduction performance with low compu-tational complexity,and has low influence on system performances through piecewise transform.It is shown by theoreti-cal analysis and simulation that,a good trade-off between PAPR reduction and bit-error-rate performances can be achieved by carefully choosing the two scales and the shift.Furthermore,compared with existing linear and nonlinear companding transforms,a better power spectral density performance can be achieved.…”
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Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

“…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

“…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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PAPR in AFDM: Upper Bound and Reduction With Normalized μ-Law Companding by Vundela Madhava Reddy, Hanumantharao Bitra

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PAPR Reduction Approach Based on Channel Estimation Pilots for Next Generations Broadcasting Systems by Anh-Tai Ho, Jean-François Helard, Youssef Nasser, Yves Louet

“…A novel peak-to-average power ratio (PAPR) reduction technique for orthogonal frequency division multiplexing (OFDM) systems is addressed. …”
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Experimental and Numerical Study of Shape Memory Alloys for Vibration Amplitude Reduction in Mechanical Structures by Hyginus Chidiebere Onyekachi Unegbu, Danjuma Saleh Yawas, Bashar Dan-asabe, Abdulmumin Akoredeley Alabi

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An improved routing technique for energy optimization and delay reduction for Wireless body area networks by Swati Goel, Kalpna Guleria, Surya Narayan Panda, Fahd S. Alharithi, Aman Singh, Aitizaz Ali

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Joint Sparse Local Linear Discriminant Analysis for Feature Dimensionality Reduction of Hyperspectral Images by Cong-Yin Cao, Meng-Ting Li, Yang-Jun Deng, Longfei Ren, Yi Liu, Xing-Hui Zhu

“…The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>L</mi><mrow><mn>2</mn><mo>,</mo><mn>1</mn></mrow></msub></semantics></math></inline-formula>-norm is also employed to measure the embedding regression reconstruction error, thereby mitigating the effects of noise and occlusions. …”
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