Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

“…The outcomes highlight the model’s reliability and strength, exceeding all baseline models, namely GRU, BiGRU, BiLSTM, KNN, LSTM, and CNN. …”
Get full text

Retracted: Rearrangement of Electrical Distribution Networks With Optimal Coordination of Grid-Connected Hybrid Electric Vehicles and Wind Power Generation Sources by Javad Tabatabaei, Mahmoud Samiei Moghaddam, Javad Mohammadi Baigi

“…The proposed model is a random model (random programming) in which scenarios corresponding to vehicle uncertainty are simulated by the Monte Carlo method. …”
Get full text

Characteristics of NH₃–H₂ Reducing Pellets by Xiaoping Zhang, Zihao Fan, Ao Mi, Junqiang Cong, Zhenghong Hu, Jialong Yang, Baoliang Wen

“…Among common gas-solid reaction mathematical models, the Phase-boundary-controlled model with the Contracting Cylinder Model is selected as the most plausible mechanistic function. …”
Get full text

Uncertainty evaluation of surface profile measurement error based on adaptive sparse grid polynomial chaos expansion by Ke Zhang, Xinya Zheng, Ruiyu Zhang

“…This model is optimized using Cholesky decomposition to handle variable correlations, sparse grid integration for efficient generation of multidimensional integration points, and maximum entropy method for direct reconstruction of probability distributions, thereby achieving efficient evaluation of the measurement error and uncertainty of surface profile. …”
Get full text

Analysis on the spatiotemporal pattern and driving force of the spatial deviation index of grain and economy in counties in China. by Jia Chen, Kuan Zhang

“…Based on panel data from 2000 to 2019 covering 2018 county-level units in China, this study comprehensively investigated the spatial distribution, spatial differences, dynamic evolution of distribution, and driving factors of China's county-level spatial deviation index of grain and economy (SDIGE) using methods such as the standard deviation ellipse method, the three-stage nested decomposition of Theil index, kernel density estimation, and geographically weighted regression (GWR) model. …”
Get full text

Fusion of PSO-SVM and ICEEMDAN for high stability GNSS-MR sea level height estimation by Linghuo Jian, Xinpeng Wang, Haining Hao, Hong Wang, Longshan Yang

“…The method utilises the GNSS multipath interfering signal frequencies (signal-to-noise oscillation term) extracted by ICEEMDAN as input features to the PSO-SVM model to retrieve the sea level height. …”
Get full text

Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment by Ao Li, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, Kezheng Lin

“…Firstly, the proposed method utilizes a separable low-rank self-representation model to disentangle the class and view structure layers, respectively. …”
Get full text

Reversibilidad mandibular de la rigidez cadavérica por medios químicos en un modelo de rata by Jairo Alfonso Tovar-Franco, Diana Constanza Aparicio-Castellanos, Luisa Fernanda Henriquez Higuera

“…Mandibular reversibility of the cadaverous stiffness by chemical means in a rat model. The main problem that a dentist faces when collectingpostmortem evidence is the buccal opening, which is limited by the cadaverous stiffness phenomenon that begins 3 hours after death. …”
Get full text

An integrative framework for AI-supported coastal hydrodynamics monitoring and analysis by Ruo-Qian Wang, Gustavo Pacheco-Crosetti, Christian Villalta Calderon, Joel Cohen, Emily Smyth

“…Employing a blend of traditional methods and cutting-edge technologies, including the Segment Anything Model (SAM) for high-resolution image segmentation and Dynamic Mode Decomposition (DMD) for pattern recognition, we provide a comprehensive assessment of coastal water dynamics. …”
Get full text

The Efficiency of The Interest Channel in The Context of Monetary Policy in Developed Countries by Taner Taş, Kubilay Çağrı Yılmaz

“…Within the framework of the panel VAR model established in line with the results obtained from these tests, the efficiency of the interest channel was investigated with the impulse-response functions and variance decomposition methods. …”
Get full text

The impacts on population health by China's regional health data centers and the potential mechanism of influence by Jiaoli Cai, Yue Li, Peter C Coyte

“…The corrected concentration index was used to measure health inequality, while Wagstaff decomposition method was applied to examine the marginal influence of the policy effect on health inequality. …”
Get full text

Enhancing public opinion monitoring for social hot events with a time series neural network-based logic map by Hangyin Mao, Ying Jiang, Xiaohan Lai, Yehua Zhang, Xiaoxiao Huang

“…A sentence-level event extraction model provides rich information. An empirical mode decomposition method analyzes IMF data to understand intrinsic patterns. …”
Get full text

Global and regional trends in the burden of surgically confirmed endometriosis from 1990 to 2021 by Ruijie Li, Ling Zhang, Yi Liu

“…In addition, we used joinpoint regression models to describe local trends in these indicators, assessed the correlation between disease burden and Socio-demographic index (SDI) levels, and used decomposition analysis to quantitatively analyze the driving factors leading to changes in disease burden. …”
Get full text

Transmission and Generation Expansion Planning Considering Virtual Power Lines/Plants, Distributed Energy Injection and Demand Response Flexibility from TSO-DSO Interface by Flávio Arthur Leal Ferreira, Clodomiro Unsihuay-Vila, Rafael A. Núñez-Rodríguez

“…The column and constraint generation algorithm and duality-free decomposition method are adopted. Case studies using a Garver 6-node system and the IEEE RTS-GMLC were carried out to validate the model and evaluate the values and impacts of local flexibility on transmission system expansion. …”
Get full text

The Burden of Severe Periodontitis in China From 1990 to 2021, With Projections to 2050: A Comprehensive Analysis From The Global Burden of Disease Study 2021 by Yuyang Wang, Yinbao Wang, Lu Fan, Yueyuan Yu

“…A range of analytical methods, including comparative analysis, trend analysis, decomposition analysis, hierarchical cluster analysis, health inequality analysis, and predictive modeling, were employed to provide a comprehensive evaluation of the disease burden. …”
Get full text

The quantification of down-hole fractionation for laser ablation mass spectrometry by J. C. Lloyd, J. C. Lloyd, C. Spandler, S. E. Gilbert, D. Hasterok

“…</p> <p>In this study, we investigate the application of orthogonal polynomial decomposition for quantitative modelling of LA-ICP-MS DHF patterns. …”
Get full text

Application of spectral characteristics of electrocardiogram signals in sleep apnea by Jiayue Hu, Liu Yang, Xintong Zhao, Haicheng Wei, Jing Zhao, Miaomiao Li

“…BackgroundElectrocardiogram (ECG) signals contain cardiopulmonary information that can facilitate sleep apnea detection. Traditional methods rely on extracting numerous ECG features, which is labor-intensive and computationally cumbersome.MethodsTo reduce feature complexity and enhance detection accuracy, we propose a spectral feature-based approach using single-lead ECG signals. …”
Get full text

Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

“…To address the issue of low SOH prediction accuracy across different prediction lengths, this paper proposes a prediction method based on long-short-term battery degradation feature extraction and FEA-TimeMixer model. …”
Get full text

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

“…Variation factors was decomposed and modeled with nesting method using ADCIRC hydrodynamic model for tide and meteorological surge. …”
Get full text

OPTIMAL DESIGN OF SUSPENSION SYSTEM BASED ON IMPROVED PARTICLE SWARM-TABOO SEARCH ALGORITHM by WANG Jun, TIAN ZhongXu

“…In order to solve the natural frequency and mode shape of the suspension system,the method of combining the jorisk decomposition with the Jacobian method is used. …”
Get full text