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. …”
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Modélisation des niveaux marins extrêmes associés à la circulation des cyclones Lenny (1999) et Omar (2008), commune de saint-pierre, littoral nord-ouest de la Martinique by Alexandre Nicolae Lerma, Yves François Thomas, Pascal Saffache, Paul Durand, Mathieu Lamy

“…Those to phenomenon are responsible in certain case for more than 2/3 of total level rises above mean sea level. …”
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Is There a Swan in this Poem? Yeats and Symbolist Poetics by Matthew Potolsky

“…Yeats has long been associated with the imagery and ideals of French symbolism, it is assumed that Yeats turns away from symbolism in the twentieth century and endorses a more public, if still hermetic, model of poetry. …”
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Tensor Adaptive Reconstruction Cascaded With Global and Local Feature Fusion for Hyperspectral Target Detection by Xiaobin Zhao, Kaiqi Liu, Xueying Wang, Song Zhao, Kun Gao, Hongyang Lin, Yantao Zong, Wei Li

“…Hyperspectral target detection technology is becoming more and more important in remote sensing. Most of the traditional methods of target sensing using spectral information treat hyperspectral image as 2-D matrix regardless of the structure information of hyperspectral image, resulting in insufficient separation of target and background and limited detection accuracy. …”
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Phase-Based Motion Magnification for Structural Vibration Monitoring at a Video Streaming Rate by Jae Young An, Soo Il Lee

“…The experiment confirmed that the proposed PBM approach is more effective than the conventional magnification method and it also analyzed the system performance for vibration measurement. …”
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A novel digital radiography image fusion enhancement algorithm based on NSST by Guangwen Wang, Kuan Shen, Dingmei Jing, Wang Liao, Zichao Li

“…Experimental results demonstrate that our method outperforms traditional fusion methods and other fusion rules in terms of objective evaluation indicators, such as IE, PSNR, and SSIM. …”
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Financial Dynamics of Cooperatives of the Popular and Solidarity Economy of Ecuador: An Analysis Using the Tucker3 Model and Projection with Multidimensional Neutrosophic Regressio... by Gabriela Valeria Bustos–Chiliquinga, Purificación Galindo-Villardón, Cristian Cornejo Gaete

“…In addition, this study contributes a second method to the literature by applying Multidimensional Neutrosophic Regression to also assess the financial dependency relationships based on ambiguity, contradiction and uncertainty. …”
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Processing ambient noise using wavelet analysis tools: the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS) by Hasanain Jasim Mohammed, Ali M. Al-Rahim

“…In addition, the distortion problem can be reduced using a more appropriate mother wavelet and decomposition levels. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…This research introduces an innovative prediction framework that combines signal decomposition with advanced deep learning methods to estimate CA trends. …”
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Burden of melanoma in China and its provinces from 1990 to 2021: an analysis for the Global Burden of Disease Study 2021 by Lingling Yu, Fanshu Yan, Jinlei Qi, Lijun Wang, Maigeng Zhou, Peng Yin

“…Joinpoint regression model was used to evaluate the trends in disease burdens attributable to melanoma across time. A decomposition method was used to attribute changes in total deaths and DALYs to three explanatory components: population growth, population aging, and change of age-specific rates.ResultsOver the past 30 years, the age-standardized incidence rate (ASIR) of melanoma in China has shown an upward trend. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…It has better prediction performance than the combination model, with a coefficient of determination approaching 1.0, a fitting accuracy of 0.994, a mean square error of 0.1947, a root mean square error of 0.3847, and an average absolute percentage error of 15.23%. And the research method can effectively evaluate the status of wind energy resources, with low time complexity at different data scales, taking no more than 5 seconds, and improving operational efficiency. …”
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An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention by Bin Jiang, Hao Wu, Qingling Xia, Hanguang Xiao, Bo Peng, Li Wang, Yun Zhao

“…It uses fast dimensionality reduction, asymmetric convolution decomposition, and pooling to suppress the accumulation of parameters, then reducing the algorithmic complexity; The ECA is adopted to reweight the output features of Inception in different channels, enabling the RIE model to focus on information that is more relevant to gestures. 52-, 49-, and 52-class gesture recognition experiments are conducted on NinaPro DB1, DB3, and DB4 datasets, which contain 14,040, 3234, and 3120 gesture samples, respectively. …”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…Our experiments demonstrate that the proposed method can reduce model parameters by up to 50% and improve classification accuracy by up to 2% over baseline models, making CNNs more feasible for practical applications.…”
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Tensor Signal Modeling and Channel Estimation for Reconfigurable Intelligent Surface-Assisted Full-Duplex MIMO by Alexander James Fernandes, Ioannis N. Psaromiligkos

“…Numerical results show that compared to recent previous works which estimate the non-RIS and RIS links during separate training stages, our method provides a more accurate estimate by efficiently using all pilots transmitted throughout the full training duration without turning the RIS off when comparing the same number of total pilots transmitted. …”
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Detection of Low-Flying Target under the Sea Clutter Background Based on Volterra Filter by Hongyan Xing, Yan Yan

“…By CEEMD method, sea clutter signal which contains small target can be decomposed into a series of intrinsic mode function (IMF) components, pick out high-frequency components which contain more noise by autocorrelation function, and perform wavelet transform on them. …”
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Integration and Modeling of Multi-Energy Network Based on Energy Hub by Min Mou, Yuhao Zhou, Wenguang Zheng, Yurong Xie

“…The energy conversion units and energy storage equipment connected to the multi-energy system are becoming diversified, and the uncertain factors brought by distributed wind power and photovoltaic power generation make the system energy flow structure more complex, which brings great difficulties to the modeling and application of traditional energy hub modeling methods. …”
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Multi-Functional Reconfigurable Intelligent Surface Assisted Security Communication Systems Under Imperfect CSI of Eavesdroppers by Rui-Bao Zhang, Dian-Wu Yue, Yu Sun

“…For this nonconvex optimization problem, we combine the penalty dual decomposition method, weighted minimum mean square error (WMMSE) method, S-Procedure Lemma, and general sign-definiteness to design an efficient solution. …”
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Measurement, Obstacle Analysis, and Regional Disparities in the Development Level of Agricultural Machinery Socialization Services (AMSS) in China’s Hilly and Mountainous Areas by Huaian Peng, Ping Wu

“…By constructing a comprehensive evaluation index system for the development level of Agricultural Machinery Socialization Services (AMSS) in China’s hilly and mountainous areas, the article adopts the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) entropy weight method to carry out a comprehensive evaluation of the development level of AMSS in China’s 17 major hilly mountainous provinces, and utilizes the obstacle degree model and the Dagum Gini coefficient decomposition method to deeply explore the developmental constraints and regional differences in characteristics. …”
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Transfer Path Analysis and Contribution Evaluation Using SVD- and PCA-Based Operational Transfer Path Analysis by Wei Cheng, Diane Blamaud, Yapeng Chu, Lei Meng, Jingbai Lu, Wajid Ali Basit

“…To quantitatively identify the transfer paths and evaluate path contributions of shell structures, an singular value decomposition- (SVD-) and principal component analysis- (PCA-) based operational transfer path analysis method is constructed and studied in this paper. …”
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Short-Term Wind Power Interval Forecasting Based on an EEMD-RT-RVM Model by Haixiang Zang, Lei Fan, Mian Guo, Zhinong Wei, Guoqiang Sun, Li Zhang

“…Ultimately, our forecasting model is more suitable for engineering applications and other forecasting methods for new energy.…”
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