Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM by JI Chenxing, LI Peng, ZHANG Tianxiang, GAO Yulong

“…Focusing on modulation schemes and receiver architecture as key points of investigation, two innovative methods were proposed: phase reduction modulation and receiver structure optimization. …”
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An Ensemble Learning Method for the Kernel-Based Nonlinear Multivariate Grey Model and its Application in Forecasting Greenhouse Gas Emissions by Lan Wang, Nan Li, Ming Xie

“…In order to give policy makers more power to set the specific target of GHG emission reduction, we propose an ensemble learning method with the least squares boosting (LSBoost) algorithm for the kernel-based nonlinear multivariate grey model (KGM) (1, N), and it is abbreviated as BKGM (1, N). …”
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Lingual Movement during Speech Production by a Speaker of Cantonese with Dysarthria-An Electromagnetic Articulographic Study by Manwa Lawrence Ng, Yang Chen, Sally Wong

“…To describe the movement, four kinematic parameters including duration, displacement, velocity and acceleration values were obtained.Results:The study revealed a reduction of velocity, acceleration, but longer duration and tongue displacement for the speaker with dysarthria. …”
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EDUCATION, CASTE AND OCCUPATIONAL DIFFERENTIALS IN FERTILITY IN INDIA by Kalyan SOM, Ramesh P. MISHRA

“…Women who have passed above secondary school of education give a prominent impact on fertility reduction in comparison to illiterate, primary and middle school passed. …”
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Source localization based on time delay estimation in complex environment by Da-wei ZHANG, Chang-chun BAO, Bing-yin XIA

“…In order to improve the performance of source localization in noisy and reverberant environments,a novel time delay estimation (TDE) method was proposed.This method is called acoustical transfer function ratio based on statistical model (ATFR-SM).In the proposed algorithm,the noise reduction method based on the statistical model was adopted to reduce the effect of noise on acoustical transfer Function (ATF).In the ATF method,the power spectral density (PSD) was smoothed and whitened to reduce the effect of reverberations.voice activity detection (VAD) was used to distinguish the speech period from the noise period,and the TDE was performed in the speech period to improve the estimation accuracy.Moreover,the proposed TDE method and the linear closed-form method for source localization were combined to constitute a source localization system.The results of performance evaluation show that,in both the noisy and reverberant conditions,the lower percentage of abnormal points (PAP) and lower root mean square error (RMSE) can be achieved by the proposed TDE method than those of the reference methods.Meanwhile,the source localization has higher accuracy than the reference methods.…”
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An Algorithm for Motion Estimation Based on the Interframe Difference Detection Function Model by Tengfei Zhang, Huijuan Kang

“…The different computational schemes are designed for the flow of multiframe target detection from background removal to noise reduction, to single-frame detection, and finally to multiframe detection, respectively. …”
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Automating the Curation of DNA Barcode Databases for Vascular Plants by Andreas Kolter, Paul Hebert

“…By contrast, setting an acceptance threshold for identifications, based on the distance between query and match, leads to a meaningful reduction of error rates in incomplete reference databases.…”
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On the issue of impact of income inequality on the socio-economic development of territories by M. L. Bykova

“…The possibility of using the simulation results in practice is confirmed by calculations of the average approximation error and the Fisher criterion.…”
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Nonlinear Volatility Risk Prediction Algorithm of Financial Data Based on Improved Deep Learning by Wangsong Xie

“…And for 1200 test samples, the average error of data risk prediction of the proposed method is 0.0217%. …”
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Improving prediction of solar radiation using Cheetah Optimizer and Random Forest. by Ibrahim Al-Shourbaji, Pramod H Kachare, Abdoh Jabbari, Raimund Kirner, Digambar Puri, Mostafa Mehanawi, Abdalla Alameen

“…The proposed CO-RF model outperforms others, achieving a low MAE of 0.0365, MSE of 0.0074, and an R2 of 0.9251 on the first dataset, and an MAE of 0.0469, MSE of 0.0032, and R2 of 0.9868 on the second dataset, demonstrating significant error reduction.…”
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A Non-Rigid Three-Dimensional Image Reconstruction Algorithm Based on Deformable Shape Reliability by Haiying Chen, Syed Atif Moqurrab

“…Our experimental results on 3D image sequence reconstructions demonstrate significant error reduction, underscoring our model’s credibility, robust reliability, and minimal re-projection error.…”
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Usulan Perbaikan Sistem Kerja pada Proses Produksi Crumb Rubber Menggunakan Metode SHERPA di PT. Riau Crumb Rubber Factory by Ismu Kusumanto

“…Metode yang digunakan adalah Systematic Human Error Reduction and Prediction Approach (SHERPA) Berdasarkan hasil identifikasi tersebut selanjutnya ditelusuri penyebab terjadinya kesalahan untuk ditentukan pendekatan guna mengurangi kejadian kesalahan kerja operator. …”
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Automated Fixed-Point Precision Optimization for FPGA Synthesis by Ines Winandy, Arnaud Dion, Florent Manni, Pierre-Loic Garoche, Dorra Ben Khalifa, Matthieu Martel

“…The distinguishing feature of our technique lies in its formal approach to error analysis: it systematically propagates numerical errors through computations to infer variable-specific fixed-point formats that guarantee user-specified accuracy bounds. …”
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Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive by Yongcun GUO, Xin MA, Shuang WANG, Deyong LI, Tun YANG

“…In order to effectively suppress vibration, an adaptive factor σ based on the error value and a regularized weight attenuation factor λ are innovatively introduced to quickly respond to system changes and reduce the error. …”
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Assessment of GOCI-II satellite remote sensing products in Lake Taihu by Min Zhao, Min Zhao, Huaming Li, Hao Li, Xuan Zhang, Xiaosong Ding, Xiaosong Ding, Fang Gong

“…Compared to NIR-derived products, the UV algorithm showed improved accuracy for Chl-a concentration, TSM concentration, and aph, with reductions in APD values by 16.92%, 3.32%, and 10.91%, respectively. …”
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Two-steps variance calibrated estimators with linear and non-linear constraints for mailed surveys with non-response by Ahmed Audu, Maggie Aphane

“…In the second step, the constants of proportionality are determined based on different objectives, such as bias reduction or minimum mean squared error. This paper thoroughly examined the theoretical and numerical properties of the proposed estimators. …”
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Reconstruction of Temperature Distribution by Acoustic Tomography Based on Principal Component Analysis and Deep Neural Network by ZHANG Lifeng, LI Jing, WANG Zhi

“…In addition, the average relative error and root mean square error of reconstructed image are less than 0.36% and 0.85% respectively.…”
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Tether Force Estimation Airborne Kite Using Machine Learning Methods by Akarsh Gupta, Yashwant Kashyap, Panagiotis Kosmopoulos

“…Our XGBoost model, for example, demonstrated a notable reduction in error in predicting the tether force that can be extracted at a particular location, with a root mean square error of 52.3 Newtons and a mean absolute error of 32.1 Newtons, coupled with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> error, which measures the proportion of variance explained by the model, achieved an impressive value of 0.93. …”
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Spatially and temporally correlated channel estimation and detection for comparator network-aided MIMO receivers with 1-bit ADCs by Luiz Sampaio, Lukas T. N. Landau

“…Abstract The low-resolution aware linear minimum mean squared error (LRA-LMMSE) channel estimator, designed for low-resolution MIMO receivers, achieves a notable reduction in mean squared error by incorporating a comparator network. …”
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Investigation of contact resistivity for Au–Ti–Pd–n-Si ohmic contacts for impatt diodes by V. V. Basanets, V. S. Slepokurov, V. V. Shinkarenko, R. Ya. Kudrik, Ya. Ya. Kudrik

“…A method is proposed for reduction of error in determination of contact resistivity based on analysis of statistical dependences of the measured contact resistivity values (which are in the range of (0.9 – 2.0).10–5 Ω.cm2). …”
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