Non-destructive detecting and annual duplicate verification of loquat fruit’s total soluble solids based on self-developed portable near-infrared spectrometer by WEI Yuqing, WANG Yuning, LI Shaojia, SUN Chongde, WU Di

“…A self-developed portable non-destructive quality detector was used to collect spectral data of ‘Baiyu’ loquat fruit harvested in 2018 and 2019, respectively, and then chemometric analysis methods were used to build detection model for total soluble solids (TSS) of loquat fruit. …”
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Pilot Allocation Scheme for Pseudo-random Sequence Scrambling in Massive MIMO System by HAN Zhi-yu, DONG Jing-wei, YAN Ning, WANG Xin, LI Jia

“…Through theoretical derivation and data simulation analysis，the scheme can effectively reduce the minimum mean square error of channel estimation and improve the signal-to-noise ratio and average transmission rate of uplink transmission. …”
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Zero-Offset VSP Monitoring of CO2 Storage: Impedance Inversion and Wedge Modelling at the Ketzin Pilot Site by Julia Götz, Stefan Lüth, Charlotte M. Krawczyk, Calin Cosma

“…When using the NRMS error as a measure for the similarity between the modelled and recorded repeat traces, the best match is achieved for a plume thickness of 6-7 m within the reservoir sandstone of 8 m thickness. …”
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Research on the Sharing Control Method of Anemometer Based on Wind Direction Correlation Coefficient of Wind Turbine by WEN Kun, WAN Yubin, HU Kaikai, ZHANG Jiayou, CHEN Ya'nan, LI Kecheng

“…Experimental results show that the wind direction sequence correlation coefficient of two wind turbines is greater than 0.75, the average relative error of the predicted wind direction remains within 7.56%, and the higher the correlation coefficient, the higher the prediction accuracy.…”
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Connected multi-vehicle crash risk assessment considering probability and intensity. by Shuo Jia, Jin Xu, Song Wang, Xingliang Liu

“…This study proposes a risk assessment model comprising two parts: one assesses the likelihood of collision by analyzing the conflicted relationship between predicted and candidate trajectories of different vehicles, and the other determines collision intensity through analysis of vehicle driving states. Finally, publicly available unmanned aerial vehicle (UAV)-based traffic data are used to validate the models. …”
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Research on the Forming Detection Technology of Shell Plates Based on Laser Scanning by Ji Wang, Baichen Wang, Yujun Liu, Rui Li, Shilin Huo, Jiawei Shi, Lin Pang

“…By introducing a six-degree-of-freedom robotic arm and a high-precision line laser sensor to build a three-dimensional detection platform, a digital template method framework including data acquisition, point cloud registration, surface reconstruction, and deviation analysis was innovatively constructed. …”
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Reliability and Validity of the Jumpster Accelerometer-Based App Compared to the Vertec When Completing a Countermovement Jump: An Examination of Field-Accessible Tools by Matthew E. Holman, Christopher R. Harnish

“…While all data fell within the calculated PI₉₅ ± TL₉₅, the Jumpster app SEM (14.7 cm) and CV (40.30%) exceeded the Vertec SEM (3.57 cm) and CV (7.22%), and the ICC was 0.55 [0.79, −0.08]. …”
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Gravitating towards blockchain in sustainable higher education: a hybrid SEM-ANN technique by Rasheda Akter Rupa, Afrin Sultana, Farjana Nasrin, Abu Naser Mohammad Saif, Md. Nahin Hossain, Hamida Akhter

“…The results from the SEM analysis serve as the inputs for the ANN models, and the root mean square error (RMSE) is utilised to evaluate the predicted accuracy of the ANN models. …”
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Research on interactive optimization technology in music education games based on EMD-RNN by Xiaohang Yang

“…The EMD (Empirical Mode Decomposition) method adaptively decomposes audio signals into multiple eigenmode functions, which makes the processing of non-stationary signals more accurate, especially suitable for intonation and rhythm analysis in music teaching. Combining the advantages of EMD and RNN, this study proposes an innovative interactive optimization framework that dynamically adjusts game difficulty and learning tasks by analyzing students' audio performance, interactive data, and learning progress in real-time. …”
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Wrist Information Detection Sensor Based on Pinhole Imaging by Hongmin Qi, Jun Xiong, Meichen Cao, Weien Lai, Yaohui Hu

“…Through the processing and analysis of image data, it can achieve the recognition of hand movements and the measurement of human physiological parameters. …”
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Is Balance of Payments a monetary phenomenon: doctrinal aspects and empirical evidence from India by N. KUBENDRAN, Rose Govindha RAJ, Balaram ROULA

“…In order to detect the automatic equilibrium process under a flexible exchange rate system and to analyse the short-run and long-run relationship, the study employed the Autoregressive Distributed Lag-Error Correction Model (ARDL-ECM) for analysis. The test results from the ARDL model depict that there is a long-run association between BOP and independent variables like Exchange rate, money supply and capital outflows. …”
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Precipitation, Time Series Models, Man-Kendall, Health Winters model, West Azerbaijan Province by Saeed jahanbakhshasl, ali mohammadkhorshiddoust, fatemeh abbsighasrik, zahra abbasighasrik

“…Average slider time series models, Sarima (seasonal Arima), Health Winters were used for analysis and prediction and also linear regression and Mann-Kendall test were used to determine the data trend. …”
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Research on radiated interference from diesel locomotive traction motor to cab signalling by Chang Liu, Shiwu Yang, Haihong Zhao, Yong Cui, Shaotong Chu

“…Finally, combined with the railway field data, a typical interference case is analysed, verifying that the distorted signal pulses under the radiated magnetic field are the primary cause of decoding failures. …”
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Multi-Factor Load Classification Method considering Clean Energy Power Generation by Yuxiu Zang, Weichun Ge, Shunjiang Wang, Yan Zhao, Tianfeng Chu

“…The analysis of load characteristics is the basis and premise of load actively participating in power grid regulation. …”
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Development of several machine learning based models for determination of small molecule pharmaceutical solubility in binary solvents at different temperatures by Mohammed Alqarni, Ali Alqarni

“…Abstract Analysis of small-molecule drug solubility in binary solvents at different temperatures was carried out via several machine learning models and integration of models to optimize. …”
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3D reconstruction of typhoon Trami 2018 eye and eyewall clouds from airborne imaging by Meryl Regine Algodon, Yukihiro Takahashi, Hisayuki Kubota, Mitsuteru Sato

“…We reconstructed a 3D model of 2018 Typhoon Trami’s eye, achieving a high resolution of 6.08 meters per pixel with a minimal projection error of 2.37 pixels. This model surpasses the resolution of satellite and radar sensors traditionally used for typhoon analysis. …”
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COMPARISON OF SALINITY AND SEAWATER TEMPERATURE PREDICTIONS USING VAR AND BIRESPONSE FOURIER SERIES ESTIMATOR by Faisol Faisol, Putri Ukhrowi, M. Fariz Fadillah Mardianto, Ira Yudistira, Kuzairi Kuzairi

“…Predictions of salinity and seawater temperature were carried out by applying the Vector Autoregressive (VAR) Analysis method and nonparametric Fourier series regression with primary data of salinity and seawater temperature on the coast of Tlesah Tlanakan Beach, Pamekasan. …”
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Pengaruh Model Pembelajaran Kooperatif Teams Games Tournament (TGT) Terhadap Penguasaan Maharotul Kitabah di Kelas VII SMP Ma’arif 01 Nurul Muttaqin Tlogowaru Malang by Ika Jami'atur Rohmah

“…However, for data analysis, a simple linear regression formula, instrument validity and reliability tests, classical assumption tests, and hypothesis tests were used. …”
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Relative efficiency of alpha lattice design over randomized complete block design in yield trials of chickpea (Cicer arietinum L.) by Homayoun Kanouni, Mohammad Imtiaz

“…Considering property of each trial, data recording was done and statistical analyses were performed. …”
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Identifying NPP operator stressors using grounded theory by Ye Wang, Xiliang Tao, Wenqiang Peng, Zhaopeng Liu, Pengcheng Li

“…Accordingly, work experience data were collected from 25 operators in NPPs through semi-structured interviews. …”
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