Multi-dimensional water quality indicators forecasting from IoT sensors: A tensor decomposition and multi-head self-attention mechanism. by Li Bo, Lv Junrui, Luo Xuegang

“…To overcome these limitations, we propose TGMHA (Tensor Decomposition and Gated Neural Network with Multi-Head Self-Attention), a novel hybrid model that integrates three key innovations: 1) Tensor-based Feature Extraction: We combine Standard Delay Embedding Transformation (SDET) with Tucker tensor decomposition to reconstruct raw time series into low-rank tensor representations, capturing latent spatio-temporal patterns while suppressing sensor noise. 2) Multi-Head Self-Attention for Inter-Indicator Dependencies: A multi-head self-attention mechanism explicitly models complex inter-dependencies among diverse water quality indicators (e.g., pH, dissolved oxygen, conductivity) via parallel feature subspace learning. 3) Efficient Long-Term Dependency Modeling: An encoder-decoder architecture with gated recurrent units (GRUs), optimized by adaptive rank selection, ensures efficient modeling of long-term dependencies without compromising computational performance. …”
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What explains differences in average wait time in the emergency department among different racial and ethnic populations: A linear decomposition approach by Hao Wang, Nethra Sambamoorthi, Richard D. Robinson, Heidi Knowles, Jessica J. Kirby, Amy F. Ho, Trevor Takami, Usha Sambamoorthi

“…We investigate factors contributing to longer wait times for NHB and Hispanic patients using a linear decomposition approach. Methods This retrospective observational study included patients presenting to one tertiary hospital ED from 2019 to 2021. …”
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A multivariate non-linear decomposition analysis of urban-rural disparities in overweight/obesity among men aged 20–49 in Ghana by Prince Tsekpetse, Samuel Salu, Joshua Shiuma, Brenda Nambozo, Brian Tonny Makoko, Bright Opoku Ahinkorah

“…A multivariate nonlinear decomposition model assessed the contributions of sociodemographic characteristics to urban–rural disparities in overweight/obesity. …”
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Temporal Evolution of the Hydrodynamics of a Swimming Eel Robot Using Sparse Identification: SINDy-DMD by Mostafa Sayahkarajy, Hartmut Witte

“…In this study, we employ machine learning strategies to investigate the temporal evolution of the system and discover a data-driven model. Three methods were studied, including dynamic mode decomposition (DMD), sparse system identification (SINDy using PySINDy package), and autoencoder neural network (AE NN), as a general function approximator. …”
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In vivo estimation of motor unit intrinsic properties in individuals with spinal cord injury by Zhihao Duan, Asta Kizyte, Emelie Butler Forslund, Elena M. Gutierrez-Farewik, Pawel Herman, Ruoli Wang

“…This study proposed an integrated approach using high-density electromyography (HD-EMG) decomposition and motor neuron (MN) modelling to estimate the intrinsic properties of MUs in vivo and investigated alterations of these properties in persons with SCI. …”
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A Three-Level Meta-Frontier Framework with Machine Learning Projections for Carbon Emission Efficiency Analysis: Heterogeneity Decomposition and Policy Implications by Xiaoxia Zhu, Tongyue Feng, Yuhe Shen, Ning Zhang, Xu Guo

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Decomposition and comparative analysis of urban-rural disparity in attitude towards advance care planning among Chinese adults: A nationwide study by Xue Wang, Yibo Wu, Lina Ge, Meizhen Zhao, Yi Ma, Shuang Zang

“…A comprehensive understanding of contributing factors, especially through decomposition and comparative analysis, remains limited. …”
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Finite-Time Cluster Synchronization of Fractional-Order Complex-Valued Neural Networks Based on Memristor with Optimized Control Parameters by Qi Chang, Rui Wang, Yongqing Yang

“…Finally, a numerical example and a comparative experiment are both provided to verify the theoretical results and optimization method.…”
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Numerical method and application of transient electromagnetic full-time responses of pseudo-random waveforms by Kailiang LU, Jianhua YUE, Ya’nan FAN, Danyang XI

“…Firstly, the full-time domain electromagnetic forward modeling method for pseudo-random waveforms is introduced. …”
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Comparative analysis of water network minimization in industrial processes: Regeneration vs. non-regeneration methods by Khalifa Azza Mohamed, Elsayed Nadia Ali, Awad Mostafa

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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

“…Comparative experiments are conducted among the proposed model, the long short-term memory model, as well as the variational mode decomposition model. …”
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Analysis of the Impact of Global Oil Prices On GDP (on the Example of the Azerbaijan Republic) by N. S. Ayyubova

“…In particular, the method of vector error correction model VECM is used. …”
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A State Estimation of Dynamic Parameters of Electric Drive Articulated Vehicles Based on the Forgetting Factor of Unscented Kalman Filter with Singular Value Decomposition by Tianlong Lei, Mingming Hou, Liaoyuan Li, Haohua Cao

“…In this paper, a state estimation method of distributed electric drive articulated vehicle dynamics parameters based on the forgetting factor unscented Kalman filter with singular value decomposition (SVD-UKF) is proposed. …”
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Impact of Phase Angle Jump on a Doubly Fed Induction Generator under Low-Voltage Ride-Through Based on Transfer Function Decomposition by Peiru Feng, Jiayin Xu, Zhuang Wang, Shenghu Li, Yuming Shen, Xu Gui

“…Firstly, the differential-algebraic equations of the DFIG are linearized to propose their transfer function model. Secondly, considering its high-order characteristic, a model reduction method for the transfer function of the DFIG using the Schur decomposition is proposed, and the analytical expression of the output variables of the DFIG with the phase angle jump is derived by the inverse Laplace transformation to judge the necessity of the LVRT measures. …”
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Gearbox Status Recognition based on TMD-SVD and POS-BP Networks Under Strong Interference by Lei He, Suqi Liu

“…On the basis of existing methods， a method based on two-layer-mode decomposition （TMD） and singular value decomposition （SVD） is proposed， combined with particle swarm （POS）-BP neural network for fault diagnosis. …”
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Predictive machine health monitoring using deep convolution neural network for noisy vibration signal of rotating machine using empirical mode decomposition by R. Pavithra, Prakash Ramachandran

“…An ablation study shows that the proposed method is highly susceptible to impulse noise as well. …”
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Facile synthesis and decomposition kinetics of novel green energetic molecular perovskite based on nitrate group DAN-4 as an alternative for ammonium nitrate oxidizer by M. Yehia, Shukri Ismael, Ibrahim Naeem, Ana Sousa-Castillo, Margarita Vázquez-González, Miguel A. Correa-Duarte, Sherif Elbasuney

“…DAN-4 shows higher energy released than common oxidizer (AP) which evolved 836 J/g. Decomposition kinetics was investigated via isoconversional (model free) and model fitting. …”
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A Bi-Level Capacity Optimization Method for Hybrid Energy Storage Systems Combining the IBWO and MVMD Algorithms by Qiaoqiao Xing, Shidong Li, Da Qiu, Yang Long, Qinyi Liao, Xiangjin Yin, Yunxiang Li, Kai Qian

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Photovoltaic power prediction system based on dual-layer decomposition strategy and a novel dynamic grouping multi-objective coati optimization algorithm by Xiaole Tang, Hao Lu, Yanting Kang, Wenjun Zhao

“…This system includes three core modules: data preprocessing, optimization, and prediction. The dual-layer decomposition strategy effectively utilizes high-frequency signal information, overcoming the limitations of single-layer methods. …”
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Spatial distribution and urban–rural disparity of unmet need for family planning among married/in-union women in Ethiopia: a spatial and decomposition analysis by Shimels Derso Kebede, Daniel Niguse Mamo, Jibril Bashir Adem, Agmasie Damtew Walle, Yawkal Tsega, Elsabeth Addisu, Zinabu Bekele Tadese, Ermias Bekele Enyew

“…Finally, multivariable decomposition analysis via a logit model was used to decompose the observed difference in unmet need by the compositional difference and the difference in effects of explanatory variables between places of residence.ResultsSpatial distribution of unmet need for family planning was clustered in Ethiopia with a global Moran's I index value of 0.25 (p-value = 0.004). …”
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