A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting by Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen

“…Hence, a novel hybrid model is provided, incorporating singular value decomposition (SVD) in conjunction with kernel-based ridge regression (SKRidge), multivariate variational mode decomposition (MVMD), and the light gradient boosting machine (LGBM) as a feature selection method, along with the Runge–Kutta optimization (RUN) algorithm for parameter optimization. …”
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Trends and Determinants of Underweight among Children under Five Years in Ethiopia: Further Analysis with Ethiopian Demographic and Health Survey 2005–2016—Multivariate Decompositi... by Tilahun Yemanu Birhan, Dessie Abebaw Angaw

“…This study aimed to analyze the trends and predictors of change in underweight among children under five years in Ethiopia. Method. The data for this study were accessed from three Ethiopian Demographic and Health Survey data sets 2005, 2011, and 2016. …”
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Exploring Shared Bicycle Travel Patterns from a Multidimensional Spatiotemporal Interaction Perspective Based on Tensor Decomposition: A Case Study of Central Shenzhen Area by Zheng Jixiang, Tao Haiyang, Zhuo Li, Shi Yufei, Bao Han, Huang Runjie

“…Unlike traditional methods that may treat time and space independently, tensor decomposition allows for a more integrated approach, capturing the interactions between different dimensions of data. …”
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Pricing basket options using Monte Carlo simulation employing Cholesky decomposition and variance reduction techniques under the 2D stochastic Black–Scholes equation by Youness Saoudi, Khalid Jeaab, Hanaa Hachimi

“…The two-dimensional Black–Scholes model is chosen for its ability to capture complex market dynamics involving correlated assets. …”
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HDF-Net: Hierarchical Dual-Branch Feature Extraction Fusion Network for Infrared and Visible Image Fusion by Yanghang Zhu, Mingsheng Huang, Yaohua Zhu, Jingyu Jiang, Yong Zhang

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Trends and socioeconomic inequalities of recommended antenatal care services utilization in Ethiopia: A decomposition analysis using Ethiopian nationwide Demographic Health Surveys... by Yawkal Tsega, Abel Endawkie, Gebeyehu Tsega, Asnakew Molla Mekonen, Yeshimebet Ali Dawed, Chad Stecher

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Global, regional, national prevalence, mortality, and disability-adjusted life-years of cutaneous squamous cell carcinoma and trend analysis from 1990 to 2021 and prediction to 204... by Chengling Liu, Xingchen Liu, Pengjuan Cao, Xin Li, Haiming Xin, Sailin Zhu

“…For the purpose of creating focused strategies, it is essential to comprehend geographical variations in cSCC prevalence and trends.MethodsThis study utilized data from the 2021 Global Burden of Diseases (GBD) survey to analyze cSCC across 204 countries and territories. …”
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Granulated straw incorporation with rotary tillage increases the content of soil organic carbon fractions and available nutrients and shifts bacterial communities in East China by Jianxin Dong, Ping Wang, Ping Cong, Wenjing Song, Xuebo Zheng, Na Liu, Yi Wang, Xin Xiao, Zhen Zhai, Yuyi Li, Huancheng Pang

“…Network analysis identified AK as a key nutrient influencing bacterial community structure under both tillage methods. Structural equation modeling further revealed that SOC fractions were primarily regulated by nutrient factors under rotary tillage, while under deep tillage, bacterial richness and AK played dominant roles. …”
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A New Approach to Constraining Properties of Active Galactic Nucleus Host Galaxies by Combining Image and Spectral Energy Distribution Decomposition: Testing upon the MBH–M⋆ Relati... by Haoran Yu, Lulu Fan, Yunkun Han, Weibin Sun, Yihang Zhang, Xuheng Ding, Yongquan Xue

“…Image decomposition allows us to disentangle optical flux into AGN and stellar components, thereby providing additional constraints on the SED models to derive a more refined stellar mass. …”
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Assessing the Impact of Climate Change on Methane Emissions from Rice Production Systems in Southern India by Boomiraj Kovilpillai, Gayathri Jawahar Jothi, Diogenes L. Antille, Prabu P. Chidambaram, Senani Karunaratne, Arti Bhatia, Mohan Kumar Shanmugam, Musie Rose, Senthilraja Kandasamy, Selvakumar Selvaraj, Mohammed Mainuddin, Guruanand Chandrasekeran, Sangeetha Piriya Ramasamy, Geethalakshmi Vellingiri

“…Experimental data were subsequently used to guide parametrization and validation of the DeNitrification–DeComposition (DNDC) model. The validation of the model showed good agreement between the measured and modeled data, as denoted by the statistical tests performed, which included CRM (0.09), D-index (0.99), RMSE (7.16), EF (0.96), and R² (0.92). …”
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Energy-Efficient Islanding Detection Using CEEMDAN and Neural Network Integration in Photovoltaic Distribution System by Sulayman Kujabi, Emmanuel Asuming Frimpong, Francis Boafo Effah

“…This paper proposes an enhanced islanding detection method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a pattern recognition neural network (PANN). …”
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An efficient technique to study of time fractional Whitham–Broer–Kaup equations by Nishant Bhatnagar, Kanak Modi, Lokesh Kumar Yadav, Ravi Shanker Dubey

“…Comparative numerical analyses are conducted with outcomes from the Adomian decomposition method (ADM), variational iteration method (VIM), and optimal homotopy asymptotic method (OHAM), demonstrating the superior accuracy of the proposed method. …”
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A Numerical Study of the Lateral Load-Sharing Mechanism of the Pile Cap in a 3 × 3 Pile Group by Yuanyuan Ren, Zhiwei Chen, Wenbo Zhu

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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…Across different trials, the system displayed varying degrees of resistance to cumulative Agr.Ops, with some trials showing increased resilience over time.DiscussionThe alternative decomposition method used effectively identified outliers and provided valuable insights into the functionality of the system under different operational loads. …”
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Intelligent partial discharge sensing system for power grid equipment based on Internet of things by FANG Zheng

“…Firstly, the overall framework of the intelligent PD sensing system for power grid equipment is proposed, and the required software and hardware configuration and the selection of PD detection sensors are given; the PD detection process is further designed, and different principles of PD detection are analyzed, the noise of PD is reduced by the discharge signal analysis method of resonance sparse decomposition; the network model of the intelligent partial discharge sensing system for power grid equipment is designed, including sensor nodes, sink nodes and access nodes. …”
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Short-term prediction of trimaran load based on data driven technology by Haoyun Tang, Rui Zhu, Qian Wan, Deyuan Ren

“…According to the machine learning theory, a short-term prediction method towards trimaran loads is studied by using an optimized data-driven model. …”
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National estimates of mortality of unintentional drowning in China from 1990 to 2021 and its predicted level in the next decade: results from the global burden of disease study 202... by Liuqing You, Jiangmei Liu, Jieming Zhong, Fangrong Fei

“…In addition, we used decomposition analysis to quantify the drivers of changes in unintentional drowning from 1990 to 2021 and we also predicted the mortality of unintentional drowning in the next 10 years based on APC model.ResultsIn 2021, the deaths attributable to unintentional drowning in China were 57554.02 (95% UI: 47463.15~69111.96), corresponding to age-standardized mortality rate (ASMR) of 4.12 (95% UI: 3.39 ~ 4.96) per 100,000 population. …”
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Transmission Tower Tilt State Recognition Based on Parameter Optimization of VMD-SVD and LSTM by Long ZHAO, Guanru WEN, Zhicheng LIU, Peng YUAN, Xinsheng DONG

“…Finally, the LSTM neural network is introduced for feature classification to form a fault diagnosis model. A 110 kV cathead-type tower is used to verify the proposed model, and the results show that the proposed method can achieve an accuracy of 96.68% in identification of tower tilting state. …”
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Pipe roughness calibration in oil field water injection system by Yuxue Wang, Songyu Bai

“…This paper proposed a mathematical model to calibrate the pipe roughness coefficient under a single operating condition, using matrix singular value decomposition to convert the problem into a positive definite quadratic programming model. …”
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Partial Discharge Signal Capture of High Voltage Cable Under Deep Belief Network by GAO Baoqi, MA Hanchao, BI Yanbing, ZHANG Xiaojun, WU Suzhou

“… In order to monitor the running state of high-voltage cable in real time and ensure the safe transportation of power, a partial discharge signal capture method of high-voltage cable based on deep belief network is studied.The improved variational modal decomposition algorithm is used to remove the internal noise of the original local signal; the deep belief network capture model is established, and the limited Boltzmann machine is pre trained by contrast divergence algorithm to obtain the pre training network parameters of the capture model; using the global fine tuning capture model of adaptive moment estimation algorithm, the denoised signal is inputted into the trained capture model and the partial discharge signal is outputted.Experimental results show that the proposed method can effectively remove the internal noise from partial discharge signals.In the case of different interferences, the capture probability of this method is above 0.9, which has excellent anti-interference performance and accurately captures the partial discharge signal types caused by insulation defects.…”
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